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Found 888 Skills
Check or verify whether a Skill complies with best practice specifications, covering naming conventions, directory structure, metadata integrity, temporary file cleanup, and dependency format validation. It provides detailed checklists, automatic repair suggestions, and report templates, and also supports integrity checks and automatic repair of skill library documentation. It is suitable for quality verification after creating or modifying a Skill
Use when working with AI agent protocols, standards, and interoperability specifications. Covers MCP, A2A, ACP, Agent Skills, AGENTS.md, ADL, x402, AP2, MCP Apps, and cagent. USE FOR: agent protocol selection, comparing MCP vs A2A vs ACP, understanding agent standards ecosystem, choosing payment protocols DO NOT USE FOR: specific protocol implementation details (use the sub-skills: mcp, a2a, acp, x402, etc.)
Use this skill when crafting, reviewing, or improving prompts for LLM pipelines — including task prompts, system prompts, and LLM-as-Judge prompts. Triggers include: requests to write or refine a prompt, diagnose why an LLM produces inconsistent or incorrect outputs, bridge the gap between intent and model behavior, reduce ambiguity in instructions, add few-shot examples, structure complex prompts, or improve output formatting. Also use when the user needs help distinguishing specification failures (unclear instructions) from generalization failures (model limitations), or when iterating on prompts based on observed failure modes. Do NOT use for general coding tasks, document creation, or non-LLM writing.
Create semantic git commits following best practices and Conventional Commits specification.
Systematically gather comprehensive travel itinerary requirements through structured discovery questions, MCP-powered research (Perplexity, Exa), and expert detail gathering. Use when users request travel planning, itinerary creation, or trip assistance requiring deep research and personalized requirements gathering. Outputs detailed requirements specification with day-by-day itineraries.
Implement a project from its documentation and specification. Use when asked to "implement project", "continue implementation", "build from docs", "implement from spec", or when the user wants to progressively implement a documented project following a todo checklist. Reads docs/, creates implementation plans and todo lists, and implements incrementally with tests and commits.
Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/
[Project Management] Create UI/UX design specifications from requirements, PBIs, or user stories. Produces structured design spec documents with layout, typography, colors, interactions, and responsive breakpoints. Triggers on design spec, design specification, UI specification, component spec, layout spec, wireframe, mockup.
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
Strategic GTM tracking planning with product manager expertise. Use when users need to plan tracking strategy, define what metrics to measure, understand business impact of tracking, create tracking specifications, or need guidance on "what should I track?" questions. Asks discovery questions about business goals, maps objectives to events, defines event taxonomy, and creates structured tracking plans. Trigger on - "plan GTM tracking", "what should I track", "create tracking plan", "define measurement strategy", "GTM strategy".
Analyzes YouTube trading videos to extract Pine Script specifications. Provide a YouTube URL and get a detailed breakdown of the strategy or indicator.
Use when a finalized non-[DRAFT] GitHub issue needs an implementation plan published for execution in a separate fresh context. Not for refining the specification or for a one-file, one-behavior change.