Linux shell basics - navigation, commands, file operations

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations and automation scripts for production systems. Use when defining SLIs/SLOs, managing error budgets, building reliable systems at scale, incident management, chaos engineering, toil reduction, or capacity planning.

Harden SSH configuration on VPS servers by disabling root login, enforcing SSH key authentication, and creating non-root sudo users to prevent unauthorized access.

This skill should be used when the user wants a technical interview preparation roadmap, coding interview study plan, or DSA practice plan tailored to a specific company and role. Trigger phrases include "technical interview roadmap", "coding interview prep for", "DSA roadmap for", "DSA study plan", "leetcode prep for", "what problems should I practice for", "interview study plan", "prep me for the technical rounds", "technical prep for", "what should I study for", "coding prep plan", "roadmap from this JD", "prep me for this role [URL]", or providing a JD URL with a request for technical interview preparation.

Master UIKit - Views, controllers, navigation, Auto Layout, animations

Python debugging techniques, pdb, and IDE debugging tools

Generate AIAG-VDA compliant Process FMEAs with proper Severity/Occurrence/Detection ratings, RPN calculations, and countermeasure recommendations. Covers MNMUK departments (Machine Shop, Damper, LVA, FML). USE WHEN user says 'PFMEA', 'FMEA', 'failure mode', 'risk analysis', 'RPN', 'severity occurrence detection', or 'process risk assessment'. Integrates with AutomotiveManufacturing, ControlPlan, and A3criticalthinking skills.

Fast cross-chain transfers using Relay Protocol's intent-based bridge

UK, US, and Canadian shipping, logistics, customs, duties, and tariff expert with automotive commodity code expertise. Covers import/export documentation, HS/HTS codes, rules of origin, FTAs, and landed cost calculations. USE WHEN user says 'shipping', 'customs', 'tariff', 'duty', 'import', 'export', 'HS code', 'HTS code', 'commodity code', 'landed cost', 'incoterms', 'customs broker', 'freight', 'logistics', 'rules of origin', 'CUSMA', 'USMCA', 'TCA', or needs help with international trade compliance.

This skill should be used when the user asks to "prepare for a board meeting", "create a board deck", "draft investor update", "prepare board agenda", "calculate runway", "prepare for investor questions", or mentions board meetings, investor updates, board decks, or quarterly updates for a VC-backed startup.

Python type hints, type checking, and static analysis with mypy

Advanced TypeScript types including generics, conditionals, and mapped types

PAI-DLC job diagnostics and health inspection. Queuing-stuck root cause analysis, failed-job localization, cluster health checks. Companion to the `alibabacloud-pai-dlc-job` skill (read-only — no writes). Triggers: "diagnose", "diagnose job", "job stuck", "why queuing", "queue stuck", "stuck in queue", "job failed", "failure reason", "healthcheck", "health check", "inspect job", "inspection".

Use these skills when you need to analyze query performance, generate execution plans, check table/column statistics, and monitor overall database activity.

Produces a recent project state snapshot from Git evidence. Use when a user asks what changed recently, wants staged or unstaged work explained, needs a branch handoff, wants risks in rushed or AI-assisted changes, or needs practical next steps before merging or continuing work in a repository.

Migrate Android RxJava code to Kotlin coroutines and Flow with safe lifecycle-aware replacements.

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

Asset pipeline optimization, compression, streaming, and resource management for efficient game development and delivery.

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Author useful, low-noise log alerts on services in a PostHog project. Use when the user asks to set up alerts for their logs, suggest alerts they should add, or evaluate whether a service is worth monitoring. Covers service triage, baseline characterisation, threshold drafting, back-testing via simulate, and shipping with a notification destination.

Use when implementing ANY Apple Intelligence or on-device AI feature. Covers Foundation Models, @Generable, LanguageModelSession, structured output, Tool protocol, iOS 26 AI integration.

Use when app feels slow, memory grows, battery drains, or diagnosing ANY performance issue. Covers memory leaks, profiling, Instruments workflows, retain cycles, performance optimization.

Diagnose and configure compound-engineering environment. Checks CLI dependencies, plugin version, and repo-local config. Offers guided installation for missing tools. Use when troubleshooting missing tools, verifying setup, or before onboarding.

Automatically find relevant context from knowledge graph and code relationships while coding. Detects when context would be helpful (new files, unfamiliar code, architectural decisions) and surfaces related entities, prior decisions, and code dependencies.

Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.

Estimate the intrinsic value of a public company using DCF, relative (peer multiple) and sum-of-parts (SOTP) methods, then triangulate to an implied share price with upside/downside versus the current market price. Use this skill whenever the user asks: "what is AAPL worth", "valuation of NVDA", "fair value of TSLA", "intrinsic value", "DCF for MSFT", "build a DCF", "discounted cash flow", "WACC", "terminal value", "implied share price", "upside to fair value", "is X overvalued/undervalued", "relative valuation", "peer comparison valuation", "EV/EBITDA target", "SOTP", "sum of the parts", "how much is [company] worth", "price target from fundamentals", "value this company", or any ticker in the context of computing intrinsic or relative valuation. Default to running ALL three methods (DCF + relative + SOTP-if-applicable) and presenting a blended implied price with a sensitivity table. Do not answer valuation questions from memory — always run the workflow.

This skill should be used when a problem has been solved and needs to be captured as categorized documentation with YAML frontmatter for searchable institutional knowledge.

Convenes expert panels for problem-solving. Use when user mentions panel, experts, multiple perspectives, MECE, DMAIC, RAPID, Six Sigma, root cause analysis, strategic decisions, or process improvement.

Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).

Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).

Tools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP). Use when making predictions, running batch scoring, generating prediction datasets, or explaining individual predictions from a deployment.

Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.

Creates decision trees that both humans and AI agents can follow reliably — captures expert knowledge as branching logic with concrete conditions, clear actions, and visible reasoning traces. Use when the user wants to document a decision process, create a troubleshooting guide, build a triage flowchart, write an escalation tree, or turn tribal knowledge into structured steps.

This skill should be used when the user asks to "deep research", "research this topic", "investigate thoroughly", "do a deep dive on", "comprehensive research on", "find everything about", "survey the landscape of", "compare approaches to", "write a report on", "gather information about", or wants multi-source investigation with synthesis and citations. Also triggers on "what are the best practices for", "how do others solve", or "state of the art in" when the user clearly wants breadth and depth beyond a simple answer.

Deployment strategy patterns for zero-downtime releases. Covers blue-green, canary, rolling, and recreate strategies with rollback procedures, health checks, feature flags, progressive delivery, and environment promotion workflows. Use when choosing a deployment strategy, implementing rollback procedures, configuring health checks, setting up environment promotion pipelines, planning progressive delivery with feature flags, or reducing blast radius during releases.

Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.

Generate and maintain documentation for code, APIs, and project components

Guide developers through capturing diagnostic artifacts to diagnose production .NET performance issues. Use when the user needs help choosing diagnostic tools, collecting performance data, or understanding tool trade-offs across different environments (Windows/Linux, .NET Framework/modern .NET, container/non-container).

Generate publication-quality scientific figures using matplotlib/seaborn with a three-phase pipeline (query expansion, code generation with execution, VLM visual feedback). Handles bar charts, line plots, heatmaps, training curves, ablation plots, and more. Use when the user needs figures, plots, or visualizations for a paper.

Comprehensive guide to local data persistence in Flutter covering SharedPreferences, SQLite, Hive, Drift, and file storage strategies

Flutter 3.29-3.41 + Dart 3.7-3.11 changes since training cutoff — dot shorthands, squircles, null-aware elements, predictive back, platform assets. Load before working with Flutter/Dart.

Gate Flash Swap skill. Use when the user asks to instantly convert or exchange cryptocurrencies without placing an order book trade. Triggers on 'flash swap', 'convert USDT to BTC', 'swap multiple coins'.

Gate Exchange sub-account management skill. Use when the user asks to manage, create, lock, unlock, or list their sub-accounts. Triggers on 'sub-account status', 'create sub-account', 'lock sub-account', 'my sub-accounts'.

GCSE Physical Education tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding PE topics, answering exam questions, revising anatomy and physiology, practising fitness tests, applying sports psychology, or wants guidance on exam technique for GCSE Physical Education.

GCSE Physics tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding physics topics, answering exam questions, revising for GCSEs, practising required practicals, solving calculation questions, or wants guidance on exam technique for GCSE Physics.

Golang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, or when wiring services with fx.New. For raw DI without lifecycle, see `samber/cc-skills-golang@golang-uber-dig` skill.

Lightweight WSI tile extraction and preprocessing. Use for basic slide processing, tissue detection, tile extraction, and stain normalization for H&E images. Best for simple pipelines, dataset preparation, and quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.

PostHog integration for client-side web JavaScript applications using posthog-js

PostHog integration for Ruby on Rails applications

# Integration Templates Skill

name: lista-sms

Build a LiveAvatar integration end-to-end — assesses the user's existing stack, recommends the optimal path, and guides implementation. Use when: (1) Building a new LiveAvatar integration, (2) Adding a real-time avatar to an app or site, (3) Connecting LiveAvatar to an existing AI pipeline, (4) User mentions LiveAvatar, real-time avatar, interactive avatar, conversational avatar, or lip-sync avatar, (5) Deciding between Embed, FULL Mode, and LITE Mode, (6) Migrating from HeyGen Interactive Avatar to LiveAvatar.

Checks transaction scope, missing rollback handling, long-held transactions, trigger/notify interaction. Use when auditing transaction correctness.

Profiles runtime performance with CPU, memory, and I/O metrics. Use when measuring bottlenecks before optimization.

Use this skill when the user wants to install, add, or configure a skill in a project. Analyze the project's tech stack and workflow, then recommend and install the best-matching skill. Triggers: 'install skill', 'add skill', 'configure skill', 'set up skill', 'enable skill', 'use skill in project', 'project skill', or when the user asks how to bring an existing skill capability into the current workspace.

Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry.

Generate correct MATLAB code using the Symbolic Math Toolbox. Use when the user asks for symbolic computations, analytical solutions, symbolic differentiation/integration, equation solving, or converting symbolic results to numeric MATLAB functions. Also use when converting differential equations to transfer functions or state-space form.

Database schema migrations and version control

MySQL database administration and development

Query project knowledge graph. Search across tasks, SOPs, memories, and concepts. Use when user asks "what do we know about X?", "show everything related to X", or "remember this pattern/pitfall/decision".

Transform any data, document, deck, README, manifest, config, or report by (1) extracting every piece of dynamic information — names, links, statistics, costs, identifiers, dates, thresholds — into configurable variables instead of hard-coding, and (2) enforcing that every factual assertion carries at least two independent citations. Triggers on "remove branding," "make this reusable," "transmute this," "parametrize," "no hard-coded values," "configurable," "needs citations," "verify these claims," or any request to convert a one-off artifact into a parameterized template.

Angular performance optimization, change detection strategies, and bundle optimization

Decompose portfolio returns into explainable components to identify where value was added or lost. Use when the user asks about Brinson attribution, allocation vs selection effects, factor-based attribution, fixed-income attribution, or currency attribution. Also trigger when users mention 'what drove my returns', 'was it stock picking or sector bets', 'alpha decomposition', 'multi-period linking', 'interaction effect', 'active return breakdown', or ask why their portfolio outperformed or underperformed the benchmark.

Use this skill when creating and configuring a PixiJS v8 Application. Covers new Application() + async app.init() options (width, height, background, antialias, resolution, autoDensity, preference, resizeTo, autoStart, sharedTicker, canvas, useBackBuffer, powerPreference, eventFeatures, accessibilityOptions, gcActive, bezierSmoothness, webgl/webgpu/canvasOptions per-renderer overrides), app.stage/renderer/canvas/screen/domContainerRoot access, ResizePlugin, TickerPlugin, CullerPlugin (cullable, cullArea), custom ApplicationPlugin creation via ExtensionType.Application, start/stop lifecycle, and app.destroy() with releaseGlobalResources. Triggers on: Application, app.init, app.stage, app.renderer, app.canvas, app.screen, app.domContainerRoot, ApplicationOptions, ApplicationPlugin, ExtensionType.Application, resizeTo, preference, autoStart, sharedTicker, useBackBuffer, powerPreference, skipExtensionImports, preferWebGLVersion, preserveDrawingBuffer, cullable, CullerPlugin, app.start, app.stop, app.destroy, releaseGlobalResources.

Prepare PR commits and body.

Designs pricing strategies for products and services. Takes product/service, costs, target market, competitors. Analyzes cost-plus, value-based, competitor-based, penetration, premium models. Researches competitor pricing. Generates pricing-strategy.md with recommended model, price points, tier structure, discount policies, annual vs monthly analysis, sensitivity to churn, expansion revenue modeling.

Run a retrospective after generating a CLI. Identifies systemic improvements to the Printing Press — templates, Go binary, skill instructions, catalog — so the next CLI comes out better. Creates a GitHub issue with actionable findings when there are Printing Press fixes to make. Use after any /printing-press run. Trigger phrases: "retro", "retrospective", "what went wrong", "improve the press", "post-mortem", "lessons learned", "what can we improve", "file a retro", "submit findings".

Analyzes transaction fingerprints using aggregated statistics from crdb_internal.transaction_statistics to identify high-retry transactions, contention patterns, and commit latency issues. Provides historical transaction-level analysis to understand which statement combinations are causing retries, contention, or performance degradation. Use when investigating transaction retry storms, analyzing commit latency trends, or understanding statement composition of problematic transactions without DB Console access.

Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.

Rédaction de requêtes devant le Conseil de prud'hommes pour contester un licenciement pour faute grave. Utiliser ce skill quand l'utilisateur demande de rédiger une requête CPH, contester un licenciement pour faute grave, préparer une saisine du CPH pour un litige lié à un licenciement, ou créer un document de contestation de licenciement en droit du travail français.

Conduct systematic research and opportunity investigation for ACP protocol integration, collaboration, and enhancement opportunities. Use when the user wants to research external projects, protocols, or tools for potential collaboration; investigate gap-filling opportunities for IDE integrations; assess compatibility between ACP and external protocols; or identify opportunities for ACP adoption. Guides through discovery, analysis, validation, and RFC generation with mandatory gates and source grounding. Outputs include comprehensive summary documents, gap analyses, and formal RFC proposals.

Orchestrates AI-enhanced Scrum ceremonies and sprint coordination. Use when running sprint ceremonies, generating automated daily standups, engineering structured tickets, forecasting sprint capacity, or grooming backlogs. Use for fact-based standups, machine-readable tickets, predictive velocity, and backlog deduplication across GitHub Issues, Jira, and Linear.

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.

Structured session analysis and project instruction refinement using a five-type intervention taxonomy (Correction, Repetition, Role Redirect, Frustration Escalation, Workaround) with severity scoring. Refines project instructions (CLAUDE.md, AGENTS.md) with structural language, maintains WORKING_STATE.md for crash recovery, and implements a self-reminder protocol to prevent role drift. Includes advisory-to-structural promotion for recurring gaps. Use after milestones, repeated user corrections, session restarts, crash recovery, every 5 completed tasks, or on request. Triggers on: "reflect on this session", "why do I keep correcting you", "update project instructions", "session retrospective", "crash recovery", "context compaction", "role drift", "analyze my corrections". Also relevant when noticing repeated corrections or resuming after compaction.

Create a new SigNoz alert rule from a natural-language intent — threshold, anomaly, log-volume, error-rate, latency, or absent-data alerts across metrics, logs, traces, and exceptions. Make sure to use this skill whenever the user says "alert me when…", "notify me if…", "set up monitoring for…", "page me on…", "create an alert for…", or asks for a new alert/notification rule, even if they don't say the word "alert" explicitly. Also use it when someone asks to be notified about error rates, latency spikes, log volume, CPU/memory pressure, or anomalous behavior on a service or host.

Use when creating new skills, restructuring existing skills, or improving skill documentation. Generates SKILL.md + references/ structure with proper patterns.

Deprecated compatibility shim for canonical coder/user/auto session management. skill-system-comms is now the merged owner; this skill remains available so existing commands and imports keep working during the merge window.

Decision framework for architectural patterns including DI, SOA, Repository, Domain Events, Circuit Breaker, and Anti-Corruption Layer. Use when designing systems, choosing patterns, or reviewing architecture.

Track all URLs fetched during SpecStory AI coding sessions. Run when user says "show my link trail", "what URLs did I visit", "list fetched links", or "show web fetches".

Translates Splunk SPL queries to Axiom APL. Provides command mappings, function equivalents, and syntax transformations. Use when migrating from Splunk, converting SPL queries, or learning APL equivalents of SPL patterns.

Use when starting significant features, epics, or complex tasks. Creates multi-phase implementation plans with parallelizable phases, poker estimates, TDD-first acceptance criteria, and quality gates. Detects tech stack from CLAUDE.md/AGENTS.md (bypassing internet research if complete) or via codebase scan.

# Swarm Execution Skill

Build and troubleshoot barcode generation in Blazor using SfBarcodeGenerator, SfQRCodeGenerator, and SfDataMatrixGenerator. Trigger for 1D barcodes (Code39, Code128, Codabar), QR codes with logo and error correction, Data Matrix, checksum validation, and exporting barcodes to images in Syncfusion Blazor apps.

Maximize after-tax returns through strategic asset location, tax-loss harvesting, gain/loss management, and withdrawal sequencing. Use when the user asks about asset location, tax-loss harvesting, Roth conversions, tax-efficient withdrawals, tax lot selection, or charitable giving with appreciated securities. Also trigger when users mention 'which account should I hold bonds in', 'wash-sale rule', 'tax drag', 'Roth vs Traditional', 'RMD planning', 'bracket stuffing', 'HIFO vs FIFO', or ask how to minimize taxes on investments.

TypeScript tooling, configuration, and build optimization

Database transactions, ACID properties, and concurrency control

Implements advanced TypeScript type systems, creates custom type guards, utility types, and branded types, and configures tRPC for end-to-end type safety. Use when building TypeScript applications requiring advanced generics, conditional or mapped types, discriminated unions, monorepo setup, or full-stack type safety with tRPC.

Teaches PMs to create syntactically valid mermaid diagrams by selecting the right diagram type for their communication need, following syntax validity rules, and validating before shipping. Covers all 15 mermaid diagram types with PM-relevant examples and a dual-lens navigation system.

Model, forecast, and interpret volatility using time-series models and options-implied measures. Use when the user asks about EWMA, GARCH models, implied volatility, volatility surfaces, volatility term structure, or the VIX. Also trigger when users mention 'volatility smile', 'volatility skew', 'realized vs implied vol', 'volatility risk premium', 'vol clustering', 'mean-reverting volatility', 'options pricing inputs', 'RiskMetrics', 'decay factor', or ask how to forecast future volatility for risk management.

This skill should be used when the user asks about Wardley Mapping, evolution stages, strategic positioning, creating maps, value chain decomposition, gameplay patterns, doctrine assessment, climatic patterns, build vs. buy, or inertia analysis.

Comprehensive macOS browser automation using PyXA, Playwright, Selenium, and Puppeteer for desktop web testing, scraping, and workflow automation. Use when asked to "automate web browsers", "Selenium Chrome automation", "Playwright testing", "Puppeteer scraping", or "cross-browser automation". Supports Chrome, Edge, Brave, Arc browsers.

Optimize web performance using Core Web Vitals, modern patterns (View Transitions, Speculation Rules), and framework-specific techniques

Implements dbt Mesh governance features (model contracts, access modifiers, groups, versioning) and multi-project collaboration with cross-project refs. Use when implementing dbt Mesh governance, setting up cross-project refs with dependencies.yml, disambiguating similarly-named models across projects, or splitting a monolithic dbt project into multiple mesh projects.

Guide for verifying Apache License 2.0 compliance in derivative works. This skill should be used when creating derivative works from Apache-licensed code, checking license compliance, ensuring proper attribution, validating NOTICE/LICENSE files, documenting changes per Apache requirements, or when mentions of "apache", "license", "compliance", "attribution", or "NOTICE" appear in context of software licensing.