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Found 1,059 Skills
When the user wants to create, optimize, or audit a showcase or gallery page for user-generated content. Also use when the user mentions "showcase," "gallery," "user work," "UGC," "creator showcase," "examples," or "made with [product]."
"Invert, always invert." Apply Carl Jacobi's mathematical principle and Charlie Munger's investing wisdom to solve problems by thinking backward from failure. Use when: **Goal setting** - Define what would guarantee failure, then avoid it; **Risk analysis** - Identify what could destroy your project before starting; **Decision making** - Evaluate choices by examining their worst outcomes; **Problem solving** - When direct approaches aren't working, reverse the question; **Strategy development...
ALWAYS LOAD THIS SKILL when: something doesn't work as expected, documentation is unclear, need to understand library internals, debugging integration issues, or before making assumptions about how a library works. Contains opensrc repo paths, debugging workflows, and examples for Effect, TanStack, TRPC, Drizzle, Better Auth, OpenCode.
Search GitHub for repos, code, and usage examples using gh CLI. Capabilities: repo discovery, code search, finding library usage patterns, issue/PR search. Actions: search, find, discover repos/code/examples. Keywords: gh, github, search repos, search code, find examples, how to use library, stars, language filter. Use when: finding repositories, searching code patterns, discovering how libraries are used, exploring open source.
Comprehensive QA testing orchestrator. Use when user says 'test', 'qa', 'check site', 'find bugs', 'helpmetest', provides a URL to test, or wants complete testing coverage from discovery through bug reporting. Discovers ALL pages, enumerates ALL features, tests comprehensively, reports exact metrics.
Expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when selecting architecture patterns, choosing Azure services, or implementing production-ready solutions.
Systematic LLM prompt engineering: analyzes existing prompts for failure modes, generates structured variants (direct, few-shot, chain-of-thought), designs evaluation rubrics with weighted criteria, and produces test case suites for comparing prompt performance. Triggers on: "prompt engineering", "prompt lab", "generate prompt variants", "A/B test prompts", "evaluate prompt", "optimize prompt", "write a better prompt", "prompt design", "prompt iteration", "few-shot examples", "chain-of-thought prompt", "prompt failure modes", "improve this prompt". Use this skill when designing, improving, or evaluating LLM prompts specifically. NOT for evaluating Claude Code skills or SKILL.md files — use skill-evaluator instead.
Audits and enhances API documentation for FastAPI and REST endpoints. Identifies missing descriptions, incomplete response codes, missing examples, and generates enhanced docstrings, Pydantic model examples, and OpenAPI spec improvements. Triggers on: "generate API docs", "document this API", "OpenAPI for", "add examples to", "improve docstrings", "API documentation audit", "FastAPI docs", "document endpoints", "API reference", "swagger docs", "REST API docs", "endpoint documentation", "response documentation". Use this skill when API endpoints need documentation or documentation audit.
Deep code simplification, refactoring, and quality refinement. Analyzes structural complexity, anti-patterns, and readability debt, then applies targeted refactoring preserving exact behavior. Language-agnostic: Python, Go, TypeScript/JavaScript, Rust. Use this skill when the goal is simplification and clarity rather than bug-finding. Triggers on: "simplify this code", "clean up my code", "refactor for clarity", "reduce complexity", "make this more readable", "code quality pass", "tech debt cleanup", "run the code refiner", "simplify recent changes", "this code is messy", "too much nesting", "this function is too long", "clean this up before I PR it", "tidy up my code", cyclomatic complexity, cognitive complexity, code smells.
Distill Opus-level reasoning into optimized instructions for Haiku 4.5 (and Sonnet). Generates explicit, procedural prompts with n-shot examples that maximize smaller model performance on a given task. Use when user says "down-skill", "distill for Haiku", "optimize for Haiku", "make this work on Haiku", "generate Haiku instructions", or needs to delegate a task to a smaller model with high reliability.
DEFAULT search tool for ALL search/lookup needs. Multi-source search and deduplication layer with intent-aware scoring. Integrates Brave Search (web_search), Exa, Tavily, and Grok to provide high-coverage, high-quality results. Automatically classifies query intent and adjusts search strategy, scoring weights, and result synthesis. Use for ANY query that requires web search — factual lookups, research, news, comparisons, resource finding, "what is X", status checks, etc. Do NOT use raw web_search directly; always route through this skill.
Use when the user wants to review a pull request, understand what a PR changes, assess risk of merging, or check for missing test coverage. Examples: "Review this PR", "What does PR #42 change?", "Is this PR safe to merge?"