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Found 1,906 Skills
Systematically investigate social media claims and viral content. Use when fact-checking complex claims, when decomposing multi-part assertions, or when investigating narratives that mix facts with interpretation.
Comprehensive repository analysis using Explore agents, web search, and Context7 to investigate codebase structure, technology stack, configuration, documentation quality, and provide actionable insights. Use this skill when asked to analyze, audit, investigate, or report on a repository or codebase. | Exploreエージェント、Web検索、Context7を用いた包括的なリポジトリ分析。コードベース構造、技術スタック、設定、ドキュメント品質を調査し、実用的な洞察を提供。リポジトリやコードベースの分析、監査、調査、レポート作成を依頼された場合に使用。
ALWAYS ACTIVE — read at the start of any ADK agent development session. ADK development lifecycle and mandatory coding guidelines — spec-driven workflow, code preservation rules, model selection, and troubleshooting.
Run the Codex Readiness unit test report. Use when you need deterministic checks plus in-session LLM evals for AGENTS.md/PLANS.md.
Expert data science covering machine learning, statistical modeling, experimentation, predictive analytics, and advanced analytics.
Large Language Model development, training, fine-tuning, and deployment best practices.
Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the OpenClaw QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.
Compare Replicate models by cost, speed, quality, and capabilities.
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.
Expert at quality-focused code review with security emphasis. Use when reviewing code changes, performing security audits, identifying bugs, ensuring code quality and maintainability, or analyzing pull requests for issues.
Exploration and Analysis of GitHub Trending. It is used to discover popular open-source projects, technology trends, and developer preferences, helping to understand the interest trends of the technical community.
Use when reviewing any interface for usability — walks through Krug's principles from Don't Make Me Think covering cognitive load, scanning, navigation, homepage clarity, mobile usability, accessibility, and the goodwill reservoir.