Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns. IMPORTANT — Always consult this skill before calling any n8n-mcp tool — it prevents common mistakes like wrong nodeType formats, incorrect parameter structures, and inefficient tool usage. If the user mentions n8n, workflows, nodes, or automation and you have n8n MCP tools available, use this skill first.

Programmatic security management in Neo4j — RBAC/ABAC, user lifecycle (CREATE/ALTER/DROP USER), role lifecycle (CREATE/GRANT ROLE/DROP ROLE), privilege grants and denies (GRANT/DENY/REVOKE on graph, database, DBMS), property-level access control, sub-graph access control, SHOW PRIVILEGES inspection, and auth provider config reference (LDAP, OIDC/SSO). Use when an agent needs to manage users, roles, or privileges programmatically via Cypher on the system database. Does NOT handle Cypher query writing — use neo4j-cypher-skill. Does NOT handle cluster ops or backups — use neo4j-cli-tools-skill. Property-level security and ABAC require Enterprise Edition.

Classifies an opposing player, manager, or agent into one of a configurable archetype set using Bayesian inference over observed behavior (roster composition, transaction pattern, lineup moves, trade activity). Domain-neutral scaffold -- callers supply the archetype taxonomy (names, priors, characteristic feature distributions) and observed features; the skill returns a normalized posterior, MAP archetype, classification confidence, feature-contribution breakdown, and best-response hints. Use when modeling opponents, classifying player types, performing Bayesian archetype inference, producing opponent posteriors, or when user mentions opponent archetype, classify opponent, Bayesian archetype inference, player type classification, opponent modeling, or archetype posterior.

Create, improve, or optimize prompts using best practices.

Expert prompt optimization system for building production-ready AI features. Use when users request help improving prompts, want to create system prompts, need prompt review/critique, ask for prompt optimization strategies, want to analyze prompt effectiveness, mention prompt engineering best practices, request prompt templates, or need guidance on structuring AI instructions. Also use when users provide prompts and want suggestions for improvement.

Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.

Orchestrates the full Ralph autonomous agent pipeline from requirements gathering to execution. Use when building new features, platforms, or complex tasks that need structured development through spec-interview, PRD generation, and autonomous implementation.

Initialize a new repository with standard scaffolding - git, gitignore, AGENTS.md, justfile, mise, beads, and timbers. Use when starting a new project or setting up an existing repo for Claude Code workflows.

Repo Updater - Multi-repo synchronization with AI-assisted review orchestration. Parallel sync, agent-sweep for dirty repos, ntm integration, git plumbing. 17K LOC Bash CLI. Use when syncing multiple GitHub repositories, running agent-sweep on uncommitted changes, or orchestrating AI-assisted code review across repos.

Conversational skill that interviews the user to capture professional experience and build/update their career-profile.json. Use when the user says "update my resume", "add my recent experience", "refresh my profile", "capture my work history", "build my resume", "add a new job to my resume", or wants to create or modify their professional profile data. When to Use: - User wants to add new experience, skills, projects, or achievements - User wants to create their career profile from scratch - User wants to update existing profile entries - User mentions they changed jobs, got promoted, or completed a project When NOT to Use: - User wants to generate/format a resume (use /resume-generator command) - User wants career advice (use career-director agent) - User wants to search for jobs (use job-search agent)

Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Use when creating skills, reviewing existing skills, or when users mention improving skill quality, encoding expertise, or avoiding common AI tooling mistakes. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns. NOT for general coding advice or non-skill Claude Code features.

Transforms documents containing theoretical knowledge or frameworks (PDFs, markdown, book notes, research papers, methodology guides) into actionable, reusable Claude Code skills using systematic reading methodology. Use when user mentions "create a skill from this document", "turn this into a skill", "extract a skill from this file", or when analyzing documents with methodologies, frameworks, or processes that could be made actionable.

Create specialized Claude Code sub-agents with custom system prompts and tool configurations. Use when users ask to create a new sub-agent, custom agent, or task-specific AI workflows.

Given a current win probability and a downside asymmetry flag, recommends a variance-seeking, neutral, or variance-minimizing posture and emits a numeric multiplier (typically 0.8-1.3) for downstream consumers to apply to boom-bust scores, position sizes, or bet sizes. Favorites minimize variance; underdogs maximize it. Reusable across fantasy sports lineup construction, portfolio allocation, poker bankroll decisions, racing strategy, and any decision where the agent controls a variance knob. Use when user mentions variance strategy, underdog variance, variance seeking, variance minimizing, risk posture, boom bust, must-win variance, favorite strategy, or when a decision module needs a single scalar to bias toward or away from high-variance options.

Write a clear, decision-ready PRD (and optionally a PR/FAQ, AI eval spec, and prompt set) for cross-functional alignment.

# Agent Team Kit — SKILL.md

Guided authoring of an architectural invariant catalog entry through a 6-step interview (elicit, locate, weight, enforce, number, commit). Drives the invariants_scaffold and invariants_add orchestrate verbs — the agent supplies judgment and natural-language elicitation; the verbs own schema validation, file writing, and event emission. Defaults to mode: audit; mode: check is an advanced opt-in. Triggers: 'add an invariant', 'author an invariant', 'enforce an architectural rule', or /exarchos:invariants. Do NOT use for: editing workflow state, running a review, or hand-writing YAML (the verbs write it — never emit catalog YAML yourself).

Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents, running evals, or trying to improve AI output quality.

[BETA] Dogfood the active branch end-to-end as a QA engineer. Diffs the branch against main, builds an exhaustive browser test matrix of every change (full user journeys, not just features), drives the app with agent-browser, then auto-fixes issues, adds regression tests, and commits each fix until the matrix is green. Use when you want a hands-off 'test everything we just built and make it actually work' pass before shipping.

Create a new slash command (skill) following best practices and prompt engineering techniques. This skill should be used when users want to create a new slash command, skill, or custom workflow for Claude Code.

Connect to EmblemVault and manage crypto wallets via EmblemAI. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Use when the user wants to trade crypto, check balances, swap tokens, interact with blockchain wallets, or create and use profile-scoped agent wallets.

Build reusable directional-feedback loops for any creative/agentic pipeline. Use when replacing binary thumbs-up/down with structured critique vectors (more/less/avoid/replace), compiling feedback into weight adjustments, ranking candidates with those vectors, and iteratively improving outputs with deterministic artifacts.

Produces a topic-segmented post-meeting summary for attendees with decisions highlighted and actions captured inline per topic (plus a consolidated action view at the end). Auto-populates topic skeleton from a sibling meeting-agenda when available and reconciles planned vs. actual topics. Accepts transcripts from Zoom, Meet, Otter, Fireflies, Krisp MCP, or manual notes; runs on variable-quality input without blocking.

The non-interactive `rg`/`fd`/`rga` → `fzf --filter` pipeline — scan with a regex tool, then fuzzy-rank the lines without opening a TUI. Use when you want fuzzy (not regex) matching of file paths, code lines, or document/PDF text from a script or one-shot command, when reproducing the fuzzy-search MCP's behavior on the bare command line, or when piping fuzzy-ranked results into xargs/an editor. This is the CLI technique; for the INTERACTIVE picker use the fzf skill, and for tool-call ergonomics use the fuzzy-search MCP server.

Presents a math or ML concept simultaneously in geometric form (picture, transformation, region, surface) and algebraic form (formula, matrix, derivation), then writes the explicit one-sentence bridge that says "these are the same thing because…". The signature 3Blue1Brown move applied to any vector/matrix concept. Use when a learner has one view but not the other ("I understand the formula but not what it means" or "I see the picture but can't write it down"), when introducing a concept that genuinely needs both views to land (eigendecomposition, SVD, dot product, attention, gradient, covariance), or when the user mentions "geometric meaning", "intuition behind", "picture for", or "why does the formula look like that".

Cross-protocol yield rotator for Stacks mainnet. Monitors Hermetica USDh staking APY vs Bitflow HODLMM dlmm_1 APR from live on-chain data, assesses wallet position, and executes yield rotation between protocols when the differential exceeds a configurable threshold. Write-capable: outputs MCP commands for stake, initiate-unstake, complete-unstake, and cross-protocol rotate actions.

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Multiple LLM reviewers challenge changes from independent angles.

Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.

Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or provides one or two experiment IDs for analysis.

Transform vague inputs into precision-optimized AI prompts for Claude, ChatGPT, Gemini, or other LLMs. Use when user mentions "optimize prompt", "improve prompt", "lyra", "prompt engineering", or needs help crafting effective AI prompts.

Parses Yahoo Fantasy Baseball league state (roster, standings, current matchup, FAAB remaining, free agents) from authenticated Yahoo team pages via Claude-in-Chrome browser automation, then grounds it against league-config.md and team-profile.md to emit a normalized league-state bundle every other agent can consume without re-scraping. Use when the coach or any downstream agent needs to read Yahoo roster, refresh team profile, pull league state, get current matchup, check FAAB remaining, list free agents, or when user mentions "what's on my roster", "who am I playing this week", "how much FAAB do I have left", or "refresh my team".

Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework. Use when adding language identification, sentiment analysis, named entity recognition, part-of-speech tagging, text embeddings, or in-app translation to iOS/macOS/visionOS apps.

Comprehensive Pal MCP toolkit for code analysis, debugging, planning, refactoring, code review, and execution tracing. Provides systematic workflows with expert validation for complex development tasks.

Use this skill when the user asks to write, generate, create, or add PHPUnit unit tests for a Shopware 6 source class — phrases like "write unit tests for X", "generate tests for ClassName", "create PHPUnit tests", "add test coverage", "test this class", "cover this with tests", "I need tests for", "unit test this", "SW6 unit tests", "Shopware unit tests", "PHPUnit tests for Shopware". Orchestrates the full workflow — source-class category detection (DTO, Service, Flow/Event, DAL, Exception), test generation, MCP-driven review against Shopware unit-test rules, and an inline fix loop that iterates until tests pass. Do NOT activate for integration tests (use phpunit-integration-test-generation), migration tests (use phpunit-migration-test-generation), e2e tests, or non-PHP testing.

Iterative codebase quality audit with multi-agent validation and escalating-depth SEEK/VALIDATE/FIX/RECURSE cycle. Enforces fix-all-per-cycle rule — every confirmed finding must be fixed before moving to the next cycle. Use for quality audit, code audit, codebase review, technical debt audit, refactoring opportunities, module quality check, or architecture review.

General Signals scout for PostHog projects. Cross-product explorer that scans a team's project and emits findings into the Signals inbox. Sibling specialists (signals-scout-llm-analytics, -logs, -error-tracking, -revenue-analytics, -surveys, -observability-gaps, -csp-violations) cover individual product surfaces; this scout looks for cross-product correlations and explores what specialists don't cover. Each scout runs on its own schedule (default daily), so general fires independently of the specialists over time.

Install Agent Skills to your AI coding agent. Supports Claude Code, Goose, OpenCode, Cursor, and other harnesses.

Validate Agent Skills against the specification. Checks SKILL.md format, frontmatter fields, naming conventions, and directory structure.

Use PROACTIVELY when creating specialized Claude Code sub-agents for task delegation. Automates agent creation following Anthropic's official patterns with proper frontmatter, tool configuration, and system prompts. Generates domain-specific agents, proactive auto-triggering agents, and security-sensitive agents with limited tools. Not for modifying existing agents or general prompt engineering.

Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, a Layer-0 domain-modeling gate (DDD) that blocks Red until concepts are named in domain vocabulary and primitives promoted to types, and principled DRY enforcement at Refactor (same-concept repetition ≥3 sites only). Automated test generation, coverage tracking, >90% coverage quality gates. Supports Claude Teams for parallel TDD workflows with plan approval gates, or falls back to sequential subagent coordination. Use when implementing features with TDD workflow, coordinating multiple TDD agents, enforcing test-first development, modeling a domain, orchestrating TDD teams, or when user mentions 'TDD workflow', 'test-first', 'TDD orchestration', 'multi-agent TDD', 'domain modeling', 'value object', 'ubiquitous language', 'DRY', 'test coverage', or 'red-green-refactor'.

Smart triage of Agent Teams Review findings into three action groups (Fix Now / Fix Later / Skip) with intelligent grouping and severity verification. Use when the user wants to triage, prioritize, or sort review findings after a code review. Also use when the user asks what to fix first, wants an action plan from a review, or mentions triage, prioritize findings, review priorities, or sort review results. Requires a completed review report from agent-teams-review.

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

Use when creating a new khuym skill, editing an existing khuym skill, or verifying a skill works under pressure before deploying. Use when you need an agent skill to be bulletproof against rationalization. Do NOT use for project-specific AGENTS.md conventions or one-off solutions.

Fetches and summarizes recent arXiv and Hugging Face papers with Agentic Paper Digest. Use when the user wants a paper digest, a JSON feed of recent papers, or to run the arXiv/HF pipeline.

Create AI coding agent subagents with YAML frontmatter and least-privilege tools. Use when designing delegation, tool selection, or safety rules.

One-time installer that makes a Claude Code project keep its Internet Computer skills up to date automatically. Sets up a SessionStart hook plus a sync script so .claude/skills/ always mirrors the latest skills published at skills.internetcomputer.org. Use when a user wants to install, bootstrap, or enable "always-latest" Internet Computer / IC / ICP / Motoko skills in a project, or pastes the link to this skill. This is a one-time setup action, not ongoing IC knowledge — after it runs, the installed hook keeps skills current on every session. Do NOT use for IC coding questions themselves — this only configures auto-updating skills.

Expert guide for managing Claude Code global skills and commands. Use when creating new skills, symlinking to projects, updating existing skills, or organizing the centralized skill repository.

Guide for creating and configuring the Claude Code status line. Use when building a custom status bar, configuring statusLine in settings.json, scripting token/model/git readouts, or debugging status-line output.

Performs semantic code intelligence and token optimization through context engineering and automated context packing. Use when reducing token overhead for large codebases, creating repository digests with Gitingest, packaging code context with Repomix, or tracing cross-file dependencies with llm-tldr.

Create complete documentation sites for projects. Use when asked to: "create docs", "add documentation", "setup docs site", "generate docs", "document my project", "write docs", "initialize documentation", "add a docs folder", "create a docs website". Generates Docus-based sites with search, dark mode, MCP server, and llms.txt integration.

Choose and combine Eve storage primitives to give agents persistent memory — short-term workspace, medium-term attachments and threads, long-term org docs and filesystem. Use when designing how agents remember, retrieve, and share knowledge.

Prevent goal drift in long-running multi-agent workflows using a coordinator agent that validates outputs against original objectives at checkpoints. Use when orchestrating 3+ agents, multi-phase features, complex implementations, or any workflow where agents may lose sight of original requirements. Trigger keywords - "hierarchical", "coordinator", "anti-drift", "checkpoint", "validation", "goal-alignment", "decomposition", "phase-gate", "shared-state", "drift detection".

Research a topic online, score sources, extract summaries only, and write a RAG-optimized learning guide plus retrieval index. Use when the user says 'learn about X', 'research this topic', 'create a learning guide', 'study X', or 'build knowledge on X'.

Lint and audit a Claude Code plugin, skill, or hook for correctness, token efficiency, and quality. Runs static analysis against verified Claude Code internals, then delegates to skill-creator for description optimization and eval benchmarking. Use when reviewing plugin changes, writing new hooks/skills, debugging a hook that silently does nothing, or before merging to main.

Deep reading and synthesis of literature corpus. Theoretical mapping, thematic clustering, and debate identification using Zotero MCP for full-text access.

# Model Context Protocol (MCP) Skill

Manage .mcp.json MCP server configurations. Use when configuring MCP servers, adding server entries, managing MCP config files, or when user mentions .mcp.json, MCP server setup, server configuration.

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

Interact with Moltbook — the social network for AI agents. Post content, reply to discussions, browse feeds, upvote/downvote, join submolt communities, follow agents, search semantically, and track engagement. Use when the user wants to engage with Moltbook, check their feed, post, reply, or manage their agent presence.

Describes the agent skills shipped with NemoClaw and how to access them by cloning the repository. Use when users ask about AI agent support, coding assistant integration, or the .agents/skills/ directory. Trigger keywords - nemoclaw agent skills, ai coding assistant, cursor, claude code, copilot.

Use Notnative MCP server (ws://127.0.0.1:8788) for note management, search, calendar, tasks, Python execution, and canvas operations. Connects to a local Notnative app instance via WebSocket. Use when you need to search or read notes from Notnative vault, create/update/append content to notes, manage calendar events and tasks, execute Python code for calculations/charts/data analysis, work with canvas diagrams, or access any Notnative app feature via MCP tools.

This skill should be used when the user asks to "analyze documentation structure", "audit progressive disclosure", "map documentation references", "find orphaned docs", "check context rot risk", "audit CLAUDE.md", "audit AGENTS.md", or wants to understand how a repository's documentation is structured for AI agent consumption. Produces a disclosure map, orphan report, and anti-pattern findings.

Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and techniques.

Self-improvement through conversation analysis. Extracts learnings from corrections and success patterns, permanently encoding them into agent definitions. Philosophy - Correct once, never again.

Restore system responsiveness with ordered process cleanup and agent-swarm hygiene when load is high or agents are stuck.

Add Anthropic Claude models (Opus, Sonnet, Haiku) to Microsoft Teams.ai applications using @youdotcom-oss/teams-anthropic. Optionally integrate You.com MCP server for web search and content extraction. - MANDATORY TRIGGERS: teams-anthropic, @youdotcom-oss/teams-anthropic, Microsoft Teams.ai, Teams AI, Anthropic Claude, Teams MCP, Teams bot - Use when: building Microsoft Teams bots with Claude, integrating Anthropic with Teams.ai, adding MCP tools to Teams applications

Trekker CLI task tracking for AI coding agents. Covers epics, tasks, subtasks, dependencies, comments, full-text search, history audit log, and kanban-style workflow with local SQLite storage. Use when creating task trackers, managing agent work sessions, tracking epics and dependencies, or implementing local-first issue tracking with Trekker CLI.

Twilio CLI reference for managing Twilio resources from the terminal. Covers installation, credential profiles, phone number provisioning, sending SMS and email, webhook configuration, local development with a tunneling service, debugging with watch and logs, serverless deployment, and plugin ecosystem. Use when the developer asks to "just do it", "set this up", "run a command", mentions "CLI", "command line", or "terminal", or when an AI agent can execute a task directly instead of writing application code.

Walk the guided release runbook (6 gates G0/G1/G2/G2.5/G3/G4) via the pm-release-conductor sub-agent. Dispatches natively on Claude Code with the pm-skills plugin (invokes @agent-pm-skills:pm-release-conductor with native chain composition to pm-skill-auditor at G0 and pm-changelog-curator at G2); on non-Claude clients (Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI) reads agents/pm-release-conductor.md and inlines auditor + curator behaviors at G0 + G2 via reference-and-execute-inline pattern (because non-Claude clients cannot natively chain to other sub-agents). Returns gate-by-gate output with explicit confirmation pauses, refuses bypass attempts, tags only the G2.5-captured SHA per master plan D22.

Send transactions on Monad testnet or mainnet using Agent wallet, the transactions could be for smart contract deployment, onchain actions like swapping or smart contract calls and signing messages

Send transactions on Monad testnet or mainnet using Agent wallet, the transactions could be for smart contract deployment, onchain actions like swapping or smart contract calls and signing messages

AI/ML APIs, LLM integration, and intelligent application patterns

Generate a program.md for autonomous AI research experiments (Karpathy's autoresearch paradigm). Interviews user about codebase, metric, and constraints, then produces a tailored program for an AI agent to iterate autonomously.

Use when isolating parallel Claude Code workers in separate git worktrees to prevent file collisions. Triggers:

Best practices for using Claude Code in team environments. Covers skill management, knowledge capture, version control, and collaborative workflows.

Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.

Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for complex programming tasks such as code generation, refactoring, or architectural analysis. Triggers on "use codex", "delegate to codex", "run codex cli", "ask codex", "codex exec", "codex review".

Generates new content drafts based on reference content analysis. Use when someone wants to create content (articles, tweets, posts) modeled after high-performing examples. Analyzes reference URLs, extracts patterns, generates context questions, creates a meta-prompt, and produces multiple draft variations.

Eino framework overview, concepts, and navigation. Use when a user asks general questions about Eino, needs help getting started, wants to understand the architecture, or is unsure which Eino skill to use. Eino is a Go framework for building LLM applications with components, orchestration graphs, and an agent development kit.

Evaluates GraphRAG systems across knowledge graph completeness, retrieval relevance, answer correctness, reasoning depth, and hallucination prevention. Provides structured evaluation frameworks, metric selection guidance, and testing protocols. Use when evaluating GraphRAG quality, benchmarking multi-step reasoning, measuring hallucination reduction, or when user mentions evaluate GraphRAG, quality metrics, answer correctness, test my GraphRAG, or measure RAG performance.

Diagnoses where a learner's 3D geometric intuition is misleading them in a high-dimensional context (concentration of measure, Gaussian shells, distance-metric breakdown, manifold hypothesis, volume-in-corners, random-projection preservation), then surgically replaces the false picture with the correct one. Use when the user is reasoning about high-dim spaces (embeddings, latent vectors, neural net activations, large-scale data clouds, optimization landscapes) and either makes a claim that's true in 3D but false in 1000D, or expresses confusion at a high-dim phenomenon that "shouldn't" happen.

Executes LP-based sBTC/STX arb on Bitflow HODLMM. Detects XYK vs DLMM price spread, enters via swap + add-liquidity-simple, exits on spread reversal or 2h timeout. Write-capable; requires --confirm. Emits MCP command objects.

Comprehensive lifecycle hook patterns for Claude Code workflows. Use when configuring PreToolUse, PostToolUse, UserPromptSubmit, Stop, or SubagentStop hooks. Covers hook matchers, command hooks, prompt hooks, validation, metrics, auto-formatting, and security patterns. Trigger keywords - "hooks", "PreToolUse", "PostToolUse", "lifecycle", "tool matcher", "hook template", "auto-format", "security hook", "validation hook".

Use when analyzing Claude Code conversation logs to find patterns in repeated user instructions that could become skills. Ask for date range first.

ERC-8004 on-chain agent identity management — register agent identities, update URI and metadata, manage operator approvals, set/unset agent wallet, transfer identity NFTs, and query identity info.

Installs or updates Codex CLI and Claude Code. Use when CLI agents need installation or update.

Use when removing Claude-side hex-line integration surfaces such as MCP registration, permissions, hooks, and output style.

Run and debug C# MCP servers locally. Covers IDE configuration, MCP Inspector testing, GitHub Copilot Agent Mode integration, logging setup, and troubleshooting. USE FOR: running MCP servers locally with dotnet run, configuring VS Code or Visual Studio for MCP debugging, testing tools with MCP Inspector, testing with GitHub Copilot Agent Mode, diagnosing tool registration issues, setting up mcp.json configuration, debugging MCP protocol messages, configuring logging for stdio and HTTP servers. DO NOT USE FOR: creating new MCP servers (use mcp-csharp-create), writing automated tests (use mcp-csharp-test), publishing or deploying to production (use mcp-csharp-publish).

Help users evaluate whether an MCP (Model Context Protocol) tool is safe and right for them before installing it. Use when a user wants to check, scan, review, or assess a third-party MCP server from GitHub, npm, or any repository URL. Provides plain-language assessments that anyone can understand, with technical details available on request.

Transforms vague or unreliable prompts into structured, constraint-aware prompts with explicit roles, task decomposition, output formats, and quality checks. Use when prompts produce inconsistent outputs, need explicit structure and constraints, require safety guardrails, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.

Appends structured decision entries to the yahoo-mlb decision log (tracker/decisions-log.md) on behalf of any agent in the MLB team. Validates entries against the authoritative schema, serializes concurrent writes from parallel agents, and runs the Monday calibration pass to fill in outcomes and update the variant scoreboard. Use when any MLB agent needs to record a decision, when the coach requests "log decision", "append to decision log", "record variant outcome", or runs the "calibration pass".

Swift 6.0 enterprise development with async/await, SwiftUI, Combine, and Swift Concurrency. Advanced patterns for iOS, macOS, server-side Swift, and enterprise mobile applications with Context7 MCP integration.

Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.

Performs a security-focused code review by launching multiple specialized agents and a verification agent to ensure comprehensive coverage and accurate findings. Use this skill when the user asks for a "perform-security-review", "bitwarden-security-review", "execute a security review", "run a comprehensive security audit", "perform an end-to-end security assessment", or needs to coordinate multiple security checks across code, dependencies, secrets, and configurations. The skill manages the workflow, delegates tasks to specialized agents, and presents final findings to the user.