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Found 2,118 Skills
Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework. Use when writing code that depends on external packages, verifying API signatures, looking up usage patterns, generating code with specific libraries, or when training data may be outdated. Covers setup questions, migration guides, and version-specific docs.
Use when starting work on any project to produce or update living documentation (TechStack.md, ProjectStructure.md) that bootstraps context for any AI agent session. Run before any feature work, or periodically to keep docs current.
API reference for CoinMarketCap cryptocurrency endpoints including quotes, listings, OHLCV, trending, and categories. Use this skill whenever the user mentions CMC API, asks how to get crypto data programmatically, wants to build price integrations, or needs REST endpoint documentation. This is the go-to reference for any CMC cryptocurrency API question. Trigger: "CMC API", "coinmarketcap api", "crypto price API", "get bitcoin price via API", "/cmc-api-crypto"
Guide for contributing to Trellis documentation and marketplace. Covers adding spec templates, marketplace skills, documentation pages, and submitting PRs across both the Trellis main repo and docs repo. Use when someone wants to add a new spec template, add a new skill to the marketplace, add or update documentation pages, or submit a PR to this project.
Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown, capturing documentation, or monitoring competitor changes.
Assess data quality with checks for missing values, duplicates, type issues, and inconsistencies. Use for data validation, ETL pipelines, or dataset documentation.
Audit and consolidate documentation for healthcare engineering systems. Supports two modes — analyze (coverage audit — writes only .health-docs/analysis.md) and document (consolidate existing docs + fill gaps). Detects applicable regulatory regimes (HIPAA, ONC, FDA SaMD) from codebase signals, composes existing skills as subagents for deep-dimension analysis, and produces a structured handoff artifact consumed by document mode.
Documentation-as-code conventions for team repos. Defines a docs/ taxonomy (ADR, RFC, guide, system, incident, audit), naming rules, templates, and boundaries. Use when creating, moving, or organizing documentation files.
Generate professional walkthrough videos from app screenshots or live sites using Remotion. Smooth transitions, zoom effects, text overlays, and optional voiceover narration. Produces MP4 videos for demos, product showcases, or documentation. Triggers: 'walkthrough video', 'demo video', 'product video', 'create a video walkthrough', 'remotion video', 'screen recording', 'app demo', 'showcase video', 'generate video from screenshots'.
Maintains persistent codebase knowledge across sessions through a structured knowledge graph stored in a local Obsidian vault (.doctrack/). Use this skill whenever you have just made meaningful code changes (new features, modified components, refactoring, bug fixes) to update the project's documentation. Also use it when the user asks to document code, update docs, sync documentation, initialize documentation for an existing project, or when you want to understand the existing codebase structure at the start of a session. This skill should be used proactively after any significant code modification — don't wait for the user to ask. If you changed code, update the docs. Think of it as your long-term memory system: read before working, write after changing. Also use this when a user says "doctrack init", "doctrack refresh", "refresh docs", "update docs", "sync docs", "initialize docs", "document this project", or wants to bootstrap documentation for a codebase that has no .doctrack/ vault yet.
Progressive Domain Crystallization (PDC) — a skill for building and maintaining a living domain knowledge base for any custom business application. Use this skill whenever the user is developing a business application and wants the AI to accumulate understanding of internal terminology, entities, relationships, and business rules over time — especially when that knowledge is not fully defined upfront and grows across sessions. Trigger on any of: "remember how our system works", "learn our domain", "track business entities", "build domain knowledge", "understand our terminology", "grow AI context over time", "domain model", "business rules documentation", or whenever a user says the AI doesn't understand their business-specific language or data model. Also use at the start of any session where a DOMAIN.md file exists in the project — always read it before doing any work.
Generates comprehensive operational runbooks for any system or process. Reads codebase, infrastructure config, and deployment scripts to produce structured runbook.md files formatted for on-call engineers. Use when you need operations documentation, incident response guides, deployment procedures, or disaster recovery plans.