Delivery pipeline orchestrator that coordinates the full delivery team through 7 stages (Idea, Refine, Design, Architect, Plan, Development, UAT) with auto-detection of project type, self-correction loops, adversarial review, multi-perspective review boards, team Definition of Done validation, dynamic escalation, debate for contested decisions, consensus for cross-team alignment, and self-learning memory. Triggers on phrases like "delivery pipeline", "full delivery", "end-to-end delivery", "start project", "new project", "greenfield", "new feature", "bug fix", "spike", "POC", "proof of concept", "game project", "delivery flow", "run pipeline", "start pipeline", "deliver this", "build and ship", "start delivery", "kick off project".

Create comprehensive Fishbone (Ishikawa/Cause-and-Effect) diagrams for structured root cause brainstorming. Guides teams through problem definition, category selection (6Ms, 8Ps, 4Ss, or custom), cause identification, sub-cause drilling, prioritization via multi-voting, and 5 Whys integration. Generates visual SVG diagrams and professional HTML reports. Use when brainstorming potential causes, conducting root cause analysis, facilitating quality improvement sessions, analyzing defects or failures, structuring team problem-solving, or when user mentions "fishbone", "Ishikawa", "cause and effect diagram", "6Ms", "cause analysis", or "brainstorming causes".

Conduct Failure Mode and Effects Analysis (FMEA) for systematic identification and risk assessment of potential failures in designs, processes, or systems. Supports DFMEA (Design), PFMEA (Process), and FMEA-MSR (Monitoring & System Response). Uses AIAG-VDA 7-step methodology with Action Priority (AP) risk assessment replacing traditional RPN. Use when analyzing product designs for potential failures, evaluating manufacturing process risks, conducting proactive risk assessment, preparing for APQP/PPAP submissions, investigating field failures, or when user mentions "FMEA", "failure mode", "DFMEA", "PFMEA", "severity occurrence detection", "RPN", "Action Priority", "design risk analysis", or needs to identify and prioritize potential failure modes with their causes and effects.

Produce a single self-contained HTML file as the deliverable for information-dense tasks that benefit from tables, SVG diagrams, inline code annotations, side-by-side comparisons, tabs, interactive controls, or copy-back affordances. Lanes: plan, review, report, prototype, editor. Use when the operator asks for an HTML artifact, HTML file, single-page HTML, HTML explainer, HTML spec, PR review in HTML, incident or status report as HTML, implementation plan in HTML, feature explainer, concept explainer, flowchart, SVG diagram, slide deck, design-system docs, component variant gallery, drag-drop triage board, feature-flag admin UI, prompt tuner, shareable explainer, or throwaway UI/editor. Do not use for high-design marketing pages or production apps.

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

Research what people actually said about any topic over the last 30 days across Reddit, X/Twitter, YouTube, GitHub, Hacker News, Polymarket, Bluesky, TikTok, Instagram, Threads, and the open web. One glim API key replaces the seven keys upstream needed (xAI, ScrapeCreators, Brave, OpenRouter, Apify, X cookies, yt-dlp install). Use when the user runs /last30days-glim <topic>, /l30, asks 'what's new with X', 'what are people saying about Y', 'last 30 days of Z', wants 'X vs Y' comparison, asks for competitors of a brand, prepares for a meeting/launch/trip, asks 'is X any good lately', or wants engagement-ranked discussion (upvotes, likes, dollar-backed odds) instead of SEO-ranked editorial content. Triggers: /last30days-glim, /l30, last 30 days, past month, past 30 days, recent discussion, what's new with, what are people saying about, vs mode, competitor comparison, before a meeting, before a launch, before a trip.

Expert guidance for developing, migrating, and maintaining Odoo modules (versions 14.0-19.0) following OCA conventions. Use when working with Odoo modules to create new modules from OCA template, migrate modules between versions using OpenUpgrade, extend core Odoo modules, ensure OCA compliance, and structure module files correctly. Includes OCA coding standards, module structure templates, OpenUpgrade migration patterns, and validation tools.

Automatically assist with Pandoc document conversions when user mentions converting markdown to PDF/DOCX/HTML or other formats. Validate YAML frontmatter, check dependencies (bibliography, images), and provide format-specific conversion guidance. Use when user asks about citations, academic papers, presentations, or document generation from markdown.

PostgreSQL 18+ enterprise best practices for database development. USE THIS SKILL WHEN THE USER: - Creates schemas, tables, functions, procedures, or triggers - Writes PL/pgSQL code (naming conventions: l_, in_, io_, co_ prefixes) - Implements Table API (SECURITY DEFINER functions, schema separation) - Manages migrations, indexes, constraints, or query performance - Works with PostgreSQL 18+ features (uuidv7, virtual columns) - Builds Medallion Architecture data warehouses (Bronze/Silver/Gold) - Reviews code for anti-patterns or migrates from Oracle PL/SQL CORE PATTERNS: - Three-schema separation: data (tables) → private (internal) → api (external) - Table API: All access via SECURITY DEFINER with SET search_path - Native PL/pgSQL migration system (no Flyway/Liquibase needed) - Trivadis naming: l_ (local), in_ (input), io_ (inout), co_ (constant)

Systematic code refactoring skill that transforms complex, hard-to-understand code into clear, well-documented, maintainable code while preserving correctness. Applies structured refactoring patterns with validation. TRIGGER WHEN: users request "readable", "maintainable", or "clean" code, during code reviews flagging comprehension issues, for legacy code modernization, or in educational/onboarding contexts DO NOT TRIGGER WHEN: the task is outside the specific scope of this component.

The Senpi Trading Runtime OpenClaw plugin runs automated trading strategies on Hyperliquid end-to-end: external producers push signals over POST /signals, rule-based or LLM-gated actions decide whether to open positions, declarative risk guard rails enforce daily caps and drawdown halts, FEE_OPTIMIZED_LIMIT orders execute maker-first with optional taker fallback, the position_tracker scanner detects on-chain position changes (including positions opened manually or by other tools), and the DSL exit engine applies two-phase trailing stop-loss protection. A bundled stdlib-only Python Producer SDK (senpi_runtime_helpers — SenpiClient, producer_daemon, scanner_lock, tick_cache, parallel) is the canonical way to author push producers; a senpi-helpers operator CLI manages running daemons. Use when a user needs to create/install/list/delete runtime YAMLs, configure DSL phases/tiers/time-cuts, set up an external_scanner with an LLM decision gate, declare risk guard_rails, inspect DSL-tracked positions, check runtime + daemon health, or write a Python producer that ingests external signals. ALSO load this skill when the user asks ANY of: 'build a trading strategy', 'build a new strategy', 'create a strategy', 'what trading strategies can we create', 'what types of strategies', 'what templates exist', 'show me the templates', 'help me pick a strategy', 'recommend a strategy', 'what should I trade', 'autonomous trading strategies', 'autonomous agents', 'write my own scanner', 'write a producer', or any open-ended 'strategy' query that is NOT an explicit specific-position request (those go to MCP strategy_create_custom_strategy) and NOT an explicit copy-trade request (those go to MCP strategy_create). Triggers on mentions of senpi, trading runtime, DSL exit, stop-loss tiers, position tracker, trailing stop, openclaw senpi, dsl_preset, decision_mode llm, risk guard_rails, FEE_OPTIMIZED_LIMIT, strategy YAML configuration, runtime status, runtime health, system state, scanner health, external_scanner producer, push_signal, signal POST, scanner_lock, tick_cache, producer_daemon, senpi_runtime_helpers, senpi-helpers CLI, build a strategy, autonomous strategy, custom strategy authoring, strategy templates, producer patterns, picker flow, install_skill, catalog.json, strategy-creation, strategy-intent-routing, or any other senpi strategy authoring / template selection query. The 'classify the user's intent FIRST' table at the top of this skill is the canonical disambiguation — read it before responding.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy. Make sure to use this skill whenever the user mentions creating, building, designing, or improving skills, even if they don't explicitly say "skill-creator".

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy. Make sure to use this skill whenever the user mentions creating, building, designing, or improving skills, even if they don't explicitly say "skill-creator".

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Static-to-EDS conversion that preserves the original design while making content authorable in Document Authoring. Two modes — page-level (overlay template with slot markers) and block-level (each section becomes an independent EDS block). Use when converting an AI-generated static HTML page (Stardust, Mobirise, Relume, Lovable, v0, Figma-derived hand-coded, etc.) into an Edge Delivery Services page. Triggers on "convert this page to EDS", "static-to-EDS overlay", "convert to EDS blocks", "next experimentation", "next run", "start run", or when a user provides a source URL and asks to make it editable in DA while keeping the original design intact. Do NOT use for canonical EDS block-rewrite migrations — that's the page-import skill.

Create, validate, and transition documentation artifacts (Vision, Initiative, Epic, Spec, Spike, ADR, Persona, Runbook, Design, Journey) through lifecycle phases. Handles spec writing, feature planning, epic creation, initiative creation, ADR drafting, research spikes, persona definition, runbook creation, design capture, architecture docs, phase transitions, implementation planning, cross-reference validation, and audits. Also invoke to update frontmatter fields, re-parent an artifact under a different epic or initiative, or set priority on a Vision or Initiative. Chains into swain-do for implementation tracking on SPEC; decomposes EPIC/VISION/INITIATIVE/JOURNEY into children first.

Use this skill when working with Terragrunt infrastructure configurations. Triggers include: - Setting up a new Terragrunt infrastructure catalog from scratch - Creating or managing Terragrunt stacks (terragrunt.stack.hcl) - Creating units that wrap OpenTofu modules from separate repos - Configuring live infrastructure repositories with root.hcl hierarchy - Setting up remote state backends (S3 with DynamoDB locking) - Multi-account/multi-environment deployments with cross-account role assumption

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.

Use when assessing TYPO3 extension quality, conformance checking, standards compliance, modernization to v12/v13/v14 (v14.3 LTS is the default/gold standard), TER readiness, or best practices review. Also triggers on: extension audit, quality score, full assessment, fix all findings, conformance audit, Fluid 5 strict ViewHelpers, ext_tables.php removal, Extbase attributes (Authorize/RateLimit), HashService removal, Bootstrap 5 migration, CSP compliance, ViewHelper security, XLIFF hygiene, PHP 8.4/8.5 compat.

Use when setting up TYPO3 extension test infrastructure, writing unit/functional/E2E tests, configuring PHPUnit 11/12/13, mutation testing, mocking final classes (v14), CI/CD matrix across TYPO3 12/13/14.3 LTS, dev-dependency consolidation via typo3-ci-workflows meta-package, or debugging CI failures. Also triggers on: testing-framework setup, ensure proper testing, test matrix, integration testing, e2e testing, coverage, test generation.

Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.

Build a complete Wix Managed Headless site from a single prompt, OR connect an existing project (HTML/JSX/Vite app, Claude Design output, etc.) to Wix Headless for hosting + Business Solutions. Entry point for both: (1) new-site requests — runs discovery, design, feature wiring, and preview; and (2) existing-project requests — runs `npm create @wix/new@latest init`, analyzes the project for needed Business Solutions, installs apps, **wires the Wix SDK into the existing source files so each installed app actually powers its corresponding feature**, and releases. Triggers: build me a site, create a website, make me a website, new website, online store, I want to sell X, start a business online, launch a site, ecommerce, portfolio, business website, sell online, online shop, take bookings, book appointments, appointment scheduling, let clients book online, site for my salon/spa/clinic/studio, sign up for classes or sessions, connect this to Wix Headless, add Wix Headless to this project, host this on Wix, deploy this to Wix, implement the features of this project using Wix Headless. Use this skill instead of the WixSiteBuilder MCP tool for new-site requests.

Create, validate, import, execute, and export CrowdStrike Falcon Fusion SOAR workflows. CRITICAL: You MUST run action_search.py to get real 32-char hex action IDs BEFORE writing any YAML. NEVER write PLACEHOLDER values for action IDs — resolve every ID via the live API first. Templates and example files in this repo contain PLACEHOLDER markers that are structural guides only — do NOT copy them into output YAML. For plugin config_id values, ask the user. Use this skill when asked to create a CrowdStrike workflow, Fusion workflow, Falcon Fusion automation, SOAR playbook, build a workflow for CrowdStrike, automate CrowdStrike actions, or anything involving CrowdStrike Fusion SOAR.

Look up official company data from European public registries across 11 countries/regions (CZ, SK, PL, DE, UK, NL, RO, HR, SE + EU-level + ESG). Covers company registration, ownership, financial filings, VAT status, ESG data. Use when the user asks to "look up a company", "check registry", "find company info", "look up IČO/KRS/LEI/CRN", "company due diligence", "check VAT status", "find ownership structure", or needs official data from European registries. Reads tracked companies from data/companies.json. Some lookups use Python scripts (stdlib), some fall back to Apify actors for scraping-based registries.

Audit UI designs against the 60-rule design standard via automated DOM analysis scripts, 3-viewport browser testing, visual grounding, and AI assessment. Confirms chrome-devtools MCP's isolated Chrome via `list_pages`, navigates with `new_page`, connects agent-browser via `--cdp <port>` to share the same Chrome instance, runs automated DOM analysis via agent-browser `eval`. Captures evidence at desktop/tablet/mobile viewports, evaluates findings with hybrid automated + AI analysis, and produces a scored report with P0/P1/P2 severity. Use when asked to audit design, review UI, check accessibility, design QA, visual review, WCAG check, or a11y audit.

Aurora Smart Home orchestrator — routing layer for all smart home skills. Use this skill when the user asks ANY smart home question and you need to decide which skill to invoke, or when a task spans multiple skills (e.g., "build a sensor that shows on a dashboard and triggers automations"). Invoke aurora FIRST before reaching for a specific skill — it will route to the right specialist(s) and recommend the correct Claude model to keep token usage efficient. Trigger on: smart home, Home Assistant, ESPHome, automation, IoT, dashboard, ESP32, Node-RED, or any request about controlling or monitoring devices at home.

AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.

Complete AI agent operating system with Kanban task management, multi-agent coordination, human approval gates, and autonomous task discovery via heartbeat polling. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (Supermemory, QMD).

MUST CHECK FIRST before DeepWiki or any external research. Local-first codebase documentation wikis. **Priority order for library/framework research**: 1. deep-codebase-wiki (THIS) - check local wikis FIRST 2. DeepWiki - only if no local wiki exists 3. librarian/explore agents - only as fallback **Auto-trigger when**: - Any GitHub repository mentioned (org/repo format) - "How does X work?" about libraries/frameworks - Architecture, implementation, or codebase questions - Before cloning or analyzing any repository - Debugging external dependencies **Workflow**: Run `search_wikis.sh --repo "owner/repo"` first. If wiki exists, read it. If not, offer to analyze and create wiki (saves hours vs repeated agent searches).

Create Mermaid diagrams (activity, deployment, sequence, architecture) from text descriptions or source code. Use when asked to "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", or "convert code to diagram". Supports hierarchical on-demand guide loading, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.

Enonic XP server-side JavaScript/TypeScript API reference for all /lib/xp/* libraries. Provides function signatures, parameters, return types, and usage examples for lib-content, lib-node, lib-auth, lib-portal, lib-context, lib-event, lib-task, lib-repo, lib-io, lib-mail, lib-schema, lib-project, lib-export, lib-scheduler, lib-value, lib-i18n, lib-websocket, lib-admin, lib-app, lib-auditlog, lib-cluster, lib-common, lib-grid, and lib-vhost. Use when looking up Enonic XP library functions, parameter shapes, return types, or usage examples. Do not use for Guillotine GraphQL queries, content type schema definitions, Enonic CLI commands, or non-Enonic JavaScript APIs.

Write or review k6 documentation across the three k6 repositories - k6-DefinitelyTyped (TypeScript types), k6-docs (user documentation), and k6 (release notes / changelog). Applies k6 doc style conventions, generates TypeScript type definitions, drafts release notes, and validates examples by running them against k6@master. Use when working on k6 documentation, the k6 changelog, the k6 release notes, k6 API reference, k6 TypeScript types, load testing docs, or when the user asks to write, edit, or review anything in the k6, k6-docs, or k6-DefinitelyTyped repos - even if they don't explicitly say "documentation".

Android UI/UX design or review with Material 3 Expressive (M3 Expressive / Material You Expressive). Use when selecting expressive component tokens, defining expressive hierarchy, motion, color, shape, typography, or reviewing Android UI against expressive guidance. Not for non-Android platforms, non-UI Android tasks, or implementation-only requests without design decisions.

Expert Mermaid diagram creation, validation, and rendering with dual-engine output (SVG/PNG/ASCII). Supports all 20+ diagram types including C4 architecture, AWS architecture-beta with service icons, flowcharts, sequence, ERD, state, class, mindmap, timeline, git graph, sankey, and more. Features code-to-diagram analysis, batch rendering, 15+ themes, and syntax validation. Use when users ask to create diagrams, visualize architecture, render mermaid files, generate ASCII diagrams, document system flows, model databases, draw AWS infrastructure, analyze code structure, or anything involving "mermaid", "diagram", "flowchart", "architecture diagram", "sequence diagram", "ERD", "C4", "ASCII diagram". Do NOT use for non-Mermaid image generation, data plotting with chart libraries, or general documentation writing.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

Analyzes legacy PL/I (Programming Language One) programs to assist with migration to modern Java applications. Extracts business logic, data structures, procedure definitions, and file operations from PL/I code. Generates migration reports and creates Java implementation strategies. Use when working with mainframe migration, PL/I analysis, legacy system modernization, or when users mention PL/I to Java conversion, analyzing .pli/.PLI/.pl1 files, working with PL/I procedures, or planning Java service implementations from PL/I programs.

Use this skill when the user asks for a "status report", "what changed", "what's stuck", "what shipped", "velocity report", "what's next to pick up", "review prs", "open prs", "ready to merge", "is this project on track", "project health", "are projects at risk", "which projects are off track", or any project status summary that should be persisted as a document or sent as email. **Eight profiles** — movement (default — what changed), stuck (what's blocked), throughput (velocity vs prior), next-up (what's ready), exec (one-pager standup), prs (open-PR review), full (legacy daily/weekly behavior), **project-health** (per-project on-track / at-risk / off-track classification with milestone burndown — for project-tier health questions like "is this project on track" or "which projects are at risk"). Produces Markdown plus HTML and/or PDF; optional handoff to resend-cli for delivery.

Professional video ad creation with Remotion — Instagram Reels (9:16), website explainers (16:9), and carousels (4:5). Use when creating video ads, animated social content, or educational explainer videos. Includes ElevenLabs voiceover with word-level captions, AI icon generation, background music, ad copywriting frameworks, and Meta campaign management. Also use when the user provides a URL and wants to create a video for that page.

Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Create and edit presentation slide decks (`.pptx`) with PptxGenJS, bundled layout helpers, and render/validation utilities. Use when tasks involve building a new PowerPoint deck, recreating slides from screenshots/PDFs/reference decks, modifying slide content while preserving editable output, adding charts/diagrams/visuals, or diagnosing layout issues such as overflow, overlaps, and font substitution.

Expert SurrealDB 3 architect and developer skill. SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust, Java, .NET, C, PHP, Swift, Kotlin, Ruby), Surrealism WASM extensions, SurrealML scope coverage (preview), SurrealMCP for AI agent hosts, LangChain Python integration, editor tooling (LSP, tree-sitter, CodeMirror, VS Code/JetBrains/Neovim/Zed), and ecosystem integrations (Surrealist, Surreal-Sync, SurrealFS, SurrealKit, n8n, Agent Skills, setup-surreal). Universal skill for 30+ AI agents.

Audit the developer experience of any platform that sends outbound webhooks or event destinations to its customers, and produce a structured YAML audit file with scored findings and prioritized recommendations. Use whenever the task is to review, assess, grade, or critique a company's webhook/event- delivery DX: their signup and onboarding, signing and verification, retry and delivery semantics, event catalog and payloads, setup surfaces (UI/API/CLI/IaC/SDK), consumer-facing observability, local dev, and local-to-production transition. Trigger this for a 'webhook DX review', 'event destinations audit', or an 'outbound webhook assessment', even if the user names a specific company (e.g. 'review Acme's webhooks') rather than the word audit. The output is a YAML audit file conforming to `schema/audit.schema.yaml`; whoever consumes it downstream renders their own presentation.

Capture a website and create a HyperFrames video from it. Use when: (1) a user provides a URL and wants a video, (2) someone says "capture this site", "turn this into a video", "make a promo from my site", (3) the user wants a social ad, product tour, or any video based on an existing website, (4) the user shares a link and asks for any kind of video content. Even if the user just pastes a URL — this is the skill to use.

Analyze repository structure and generate or update standardized AGENTS.md files that serve as contributor guides for AI agents. Supports both single-repo and monorepo structures. Measures LOC to determine character limits and produces structured documents covering overview, folder structure, patterns, conventions, and working agreements. Update mode refreshes only the standard sections while preserving user-defined custom sections. Use when setting up a new repository, onboarding AI agents to an existing codebase, updating an existing AGENTS.md, or when the user mentions AGENTS.md.

Build AI chat interfaces with pre-built shadcn-style components (Message, Conversation, PromptInput, Reasoning, Sources, Tool, Artifact, CodeBlock, Branch, Suggestions, Task, Image, ChainOfThought, InlineCitation, WebPreview, and more). Use when adding AI chat UI to a Next.js + AI SDK app, installing AI Elements components via the CLI (`bun x ai-elements@latest add <name>` or `npx shadcn@latest add @ai-elements/<name>`), composing message displays with markdown, building prompt inputs with attachments, or rendering streaming reasoning and tool output.

Use this skill when the user asks for financial data ("price of BTC", "P/E ratio of NVDA"), market analysis, stock or crypto research, quant strategies, backtesting ("backtest a momentum strategy"), tracking assets or portfolios, or help turning investing ideas into live playbooks, dashboards, and analytics on Alva. Powered by 250+ financial data sources across crypto, equities, macro, on-chain, and social data, along with cloud-side analytics and backtesting. Also use when the user asks about Alva platform capabilities.

Curated text animation catalog with exact JSON specs for headings, labels, counters, and text swaps. Use when an agent needs to pick or translate named effects like soft blur in, typewriter, shared axis, line reveal, stagger, crossfade, or kinetic builds into WAAPI, Motion, Framer Motion, GSAP, CSS, Lottie, Rive, or similar stacks.

Self-hosted auth for TypeScript/Cloudflare Workers with social auth, 2FA, passkeys, organizations, RBAC, and 15+ plugins. Requires Drizzle ORM or Kysely for D1 (no direct adapter). Self-hosted alternative to Clerk/Auth.js. Use when: self-hosting auth on D1, building OAuth provider, multi-tenant SaaS, or troubleshooting D1 adapter errors, session caching, rate limits, Expo crashes, additionalFields bugs.

Multi-agent workflow orchestrator for software projects. Invoke when the user says "Hey Buddy", asks to work on a task, wants to check Linear tasks, start continuous monitoring for new issues, or needs a full develop-test-review cycle on any software change. Orchestrates specialized agent roles in a loop until the task is complete.

Principal/Senior-level Bun.js playbook for backend APIs, runtime-aware TypeScript, Docker delivery, reliability, observability, testing, and production operations. Use when: building or reviewing Bun services, hardening Hono-based APIs, modernizing Node-style backends for Bun, improving Docker and CI quality, or preparing Bun apps for production.

Expert skill for OpenClaw (v2026.2.19) — self-hosted AI gateway connecting chat apps (WhatsApp, Telegram, Discord, Slack, iMessage, Signal, LINE, Matrix, Teams, Google Chat) to AI agents. Use when user asks about: installing/configuring/updating OpenClaw, setting up or troubleshooting chat channels, security hardening and auditing, inspecting openclaw.json config or prompts (SOUL.md/AGENTS.md), multi-agent routing and session management, cloud deployment (AWS/GCP/Fly.io/Docker), upgrading versions, or discovering ClawHub skills. Includes bundled scripts for security audit, config inspection, and session scanning. Triggers on: "openclaw", "openclaw.json", "~/.openclaw", gateway config. Not for: general chatbot frameworks, non-OpenClaw gateways, or unrelated Docker questions.

A comprehensive collection of Agent Skills for context engineering, harness engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, evaluating, or debugging agent systems that require effective context management and reliable operating loops.

Create high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology.

Manages .NET SDK installation (dotnet-install, workloads), project setup (.slnx, Directory.Build.props, CPM), MSBuild authoring, build optimization, performance (Span, ArrayPool, stackalloc), profiling (dotnet-counters, dotnet-trace), Native AOT/trimming, GC tuning, CLI apps (System.CommandLine, Spectre.Console, Terminal.Gui), ILSpy decompilation, VS Code debug config (launch.json, coreclr, remote), C# LSP (csharp-ls, OmniSharp), and version detection/upgrade. Spans 34 topic areas. Do not use for UI implementation or API security design.

Use when the user requests diagrams, flowcharts, architecture diagrams, ER diagrams, UML / sequence / class diagrams, network topology, ML/DL model figures (Transformer/CNN/LSTM), mind maps, or any visualization. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Best suited when the diagram needs custom styling, rich shape vocabulary, swimlanes, or exportable images (PNG/SVG/PDF/JPG). Generates .drawio XML and exports locally via the native draw.io desktop CLI.

End-to-end data-first research pipeline — find an underutilised public dataset, pick the publishable claim, target a journal, ship LaTeX manuscript + tagged GitHub release. Use for computational-bio / bioinformatics / clinical-genomics on TCGA, GEO, GDC, cBioPortal, or when user says "end-to-end paper" / "what's publishable here".

GitOps deployment workflows with ArgoCD and Flux. Use this skill whenever the user mentions GitOps, ArgoCD, Flux, Flagger, Argo Rollouts, or continuous deployment to Kubernetes. Triggers include setting up ArgoCD or Flux from scratch, designing Git repository structures (monorepo vs polyrepo, app-of-apps), deploying to multiple clusters with ApplicationSets, managing secrets in Git (SOPS, Sealed Secrets, External Secrets Operator), implementing canary or blue-green deployments, troubleshooting sync or reconciliation issues, working with OCI artifacts, and comparing ArgoCD vs Flux.

This skill should be used when the user asks to "scan for PHI", "detect PII", "HIPAA compliance check", "audit for protected health information", "find sensitive healthcare data", "generate HIPAA audit report", "check code for PHI leakage", "scan logs for PHI", "check authentication on PHI endpoints", "scan FHIR resources", "check HL7 messages", or mentions PHI detection, HIPAA compliance, healthcare data privacy, medical record security, logging PHI violations, authentication checks for health data, or healthcare data formats (FHIR, HL7, CDA).

Generate beautiful, self-contained single-page HTML artifacts with impeccable, anti-slop design taste — documents, reports, specs, code-review explainers, research explainers, design explorations, and throwaway interactive editors. Shareable and openable in any browser. Optional PSD branding. Use when: making an HTML file or artifact or page, turning a spec/plan/report into readable HTML, building an interactive editor or prototype, or exploring multiple design directions side by side. Triggers on: html artifact, make html, beautiful html, html page, html report, html explainer, design in html, interactive html, html mockup, html one pager.

Connect WhatsApp to your product with Kapso: onboard customers with setup links, detect connections, receive events via webhooks, and send messages/templates/media. Also manage WhatsApp Flows (create/update/publish, data endpoints, encryption). Use when integrating WhatsApp end-to-end.

Set up JARVIS Mission Control v2.0.7 — a free, open-source AI agent coordination hub by MissionDeck.ai. Kanban board, real-time WebSocket updates, team chat, scheduled job visibility, agent SOUL editor, Claude Code session tracking, GitHub Issues sync, SQLite-backed webhook delivery with circuit breaker, CSRF + rate limiting. Fork the repo, start the server, open the dashboard. No cloud account required. Instruction-only skill — all code runs on YOUR server from open-source GitHub repo. No code execution in skill. Security-audited: 0 HIGH, 0 CRITICAL. See SECURITY.md for full audit.

Elastic ML anomaly detection skill — investigation/RCA, score explanation, job operations (create, datafeed, start/stop, results), and troubleshooting (missing docs, memory limits, datafeed health, lifecycle). Operates against Kibana Agent Builder MCP tools (`ad_*`) on `.ml-anomalies-*`, `.ml-config`, `.ml-notifications-*`, `.ml-annotations-*`. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit", or any request to set up or configure an ML anomaly detection job.

Monitoring and observability strategy, implementation, and troubleshooting. Use this skill whenever the user mentions monitoring, observability, metrics, logs, traces, alerting, SLOs, Prometheus, Grafana, Datadog, Loki, or OpenTelemetry. Triggers include designing metrics strategy (Four Golden Signals, RED/USE), setting up Prometheus/Grafana/Loki, creating alerts or dashboards, calculating SLOs and error budgets, instrumenting with OpenTelemetry, analyzing performance issues, choosing between monitoring tools, optimizing Datadog costs, migrating to open-source stack, and setting up distributed tracing.

Project bootstrap and repository baseline setup for new or existing codebases. Use when the user wants to scaffold a new project or upgrade a repository with foundation files, code quality tooling, release automation, CI, GitHub configuration, dependency management, and security scanning using the bundled templates, workflows, and scripts.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Create and edit presentation slide decks (`.pptx`) with PptxGenJS, bundled layout helpers, and render/validation utilities. Use when tasks involve building a new PowerPoint deck, recreating slides from screenshots/PDFs/reference decks, modifying slide content while preserving editable output, adding charts/diagrams/visuals, or diagnosing layout issues such as overflow, overlaps, and font substitution.

Generate interactive presentation slides using React + Tailwind, and export to standalone single-file HTML. Triggers on keywords like "slides", "presentation", "PPT", "demo", "benchmark", or when user requests export. Uses agent-browser skill for browser verification before export (install with `npx skills add vercel-labs/agent-browser` if not available).

Trove collection and normalization for swain-design artifacts. Collects sources from the web, local files, and media (video/audio), normalizes them to markdown, and caches them in reusable troves. Use when researching a topic for a spike, ADR, vision, or any artifact that needs structured research. Also use to refresh stale troves or extend existing ones with new sources. Triggers on: 'research X', 'gather sources for', 'compile research on', 'search for sources about', 'refresh the trove', 'find existing research on X', or when swain-design needs research inputs for a spike or ADR.

Generate and monitor CyberBara Public API v1 image and video tasks end-to-end. Use when work involves CyberBara `/api/v1` endpoints for listing models, uploading reference images, quoting credits, creating generation tasks, polling task status, or checking credits balance and usage.

Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services and databases, manage object storage buckets, deploy code, configure environments and variables, manage domains, troubleshoot failures, check status and metrics, set up Railway agent tooling, and query Railway docs. Use this skill whenever the user mentions Railway, signing up, creating an account, registering, logging in, deployments, services, environments, buckets, object storage, build failures, agent setup, MCP, or infrastructure operations, even if they don't say "Railway" explicitly. Also invoke this skill when the user asks to be signed up, registered, or onboarded to Railway: do not refuse — drive them through the unauthed `railway up` flow (deploys + signs up on the fly) or `railway login` (which creates new accounts on the fly).

Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.

Unified multi-provider web search and URL extraction skill with intelligent auto-routing across Serper, Brave, Tavily, Querit, Linkup, Exa, Firecrawl, Perplexity, You.com, SearXNG, and SerpBase.

Terminal session manager for AI coding agents. Use when user mentions "agent-deck", "session", "sub-agent", "MCP attach", "git worktree", or needs to (1) create/start/stop/restart/fork sessions, (2) attach/detach MCPs, (3) manage groups/profiles, (4) get session output, (5) configure agent-deck, (6) troubleshoot issues, (7) launch sub-agents, or (8) create/manage worktree sessions. Covers CLI commands, TUI shortcuts, config.toml options, and automation.

Build complete, production-ready Arduino projects (environmental monitors, robot controllers, IoT devices, automation systems). Assembles multi-component systems combining sensors, actuators, communication protocols, state machines, data logging, and power management. Supports Arduino UNO, ESP32, and Raspberry Pi Pico with board-specific optimizations. Use this skill when users request complete Arduino applications, not just code snippets.

Build WhatsApp automations with Kapso workflows: configure WhatsApp triggers, edit workflow graphs, manage executions, deploy functions, and debug automation behavior. Use when automating WhatsApp conversations and event handling.

Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.

This skill should be used to run an Agent-Ready Codebase Assessment — scoring a codebase across 8 dimensions with parallel agents, producing a weighted score (0-100), band rating, and improvement roadmap. Supports Ruby, Python, PHP, TypeScript, JavaScript, Go, Java, Scala, and Rust.

Create or update a package's README.md and optionally an ARCHITECTURE.md from the actual code implementation. Use when writing project documentation, drafting a new README, refreshing stale docs after code changes, documenting monorepo packages, or producing an ARCHITECTURE.md reflecting current source structure. Follows existing README.template.md or sibling package READMEs when present; otherwise falls back to bundled templates in references/ and only enters plan mode when neither exists.

Implement, fix, debug, review, or refactor Flutter networking code for HTTP/REST APIs, WebSocket realtime flows, authentication and token refresh, request headers, timeouts, retries, JSON parsing, caching, background isolates, repositories, services, and adaptation to existing http, Dio, Retrofit, Chopper, or custom API clients. Use when asked to add network requests, investigate network errors, harden API clients, handle auth, or validate Flutter network behavior.

Continuous formal verification of architectural constraints and code quality. Use when asked to verify, audit, or validate codebase integrity. Runs automatically via hooks on every edit (structural) and pre-commit (full). Catches ownership violations, boundary crossings, state machine bugs, and code smells that grep ratchets miss. Triggers: "verify", "formal verify", "check architecture", "audit code quality", "run verification", "/verify", "/verify --bootstrap", "/verify --grade".

Full-stack frontend development combining premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and visual art. Builds complete, visually striking web pages with real media, advanced motion, and compelling copy. Use when: building landing pages, marketing sites, product pages, dashboards, generating media assets (image/video/audio/music), writing conversion copy, creating generative art, or implementing cinematic scroll animations.

Generates professional, publisher-grade Game Design Documents (GDD) as polished .docx and .pdf files. Turns a game concept into a comprehensive 40-80 page document covering core gameplay loop, mechanics, UX flows, art direction, monetization strategy, technical requirements, and competitive analysis. Also generates companion pitch decks (.pptx) and one-page pitches. Use when users want to create a GDD, game pitch, game concept document, or game design specification.

Comprehensive GitLab CLI (glab) command reference and workflows for all GitLab operations via terminal. Use when user mentions GitLab CLI, glab commands, GitLab automation, MR/issue management via CLI, CI/CD pipeline commands, repo operations, authentication setup, or any GitLab terminal operations. Routes to specialized sub-skills for auth, CI, MRs, issues, releases, repos, and 30+ other glab commands. Triggers on glab, GitLab CLI, GitLab commands, GitLab terminal, GitLab automation.

Create hand-drawn Excalidraw diagrams, flows, explainers, wireframes, and page mockups. Default to monochrome sketch output; allow restrained color only for page mockups when the user explicitly wants webpage-like fidelity.

Implement OpenAI Harness Engineering practices in any repository — AGENTS.md, PLANS.md, deterministic smoke/test/lint harness commands, strict architecture boundaries, observability from day 1, and entropy-control audits for reliable autonomous agent runs.

Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

Generate images, short videos, enhance/upscale, train LoRAs, and run campaign workflows through Krea. Intent-first workflow prefabs route common asks to hard recipes for social video, key visuals, image generation, product photography, archviz, enhancement, LoRA training, and ad campaigns. For professional animation, anime series, storyboard-to-video, asset bibles, or shotlist-to-sequence production, use the sibling krea-animation skill.

Use this skill when creating or updating DAG configurations (dags.yaml), schema.yaml, and metadata.yaml files for BigQuery tables. Handles creating new DAGs when needed and coordinates test updates when queries are modified (invokes sql-test-generator as needed). Works with bigquery-etl-core, query-writer, and sql-test-generator skills.

Comprehensive PocketBase development and deployment skill providing setup guides, schema templates, security patterns, API examples, data management scripts, and real-time integration patterns for building backend services with PocketBase.