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Found 1,332 Skills
Aesthetic assessment and remix partner with trained visual taste. Provides structured design critiques using a 6-dimension scoring system inspired by VisualQuality-R1 chain-of-thought reasoning.
Expert web research with advanced search techniques. Use for deep research, information gathering, or fact verification.
MLflow ML lifecycle management. Use for ML experiment tracking.
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。
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.
Produce an LLM Build Pack (prompt+tool contract, data/eval plan, architecture+safety, launch checklist). Use for building with LLMs, GPT/Claude apps, prompt engineering, RAG, and tool-using agents.
Polars fast DataFrame library. Use for fast data processing.
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.
A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
Recover actionable context from local `.claude` session artifacts and continue interrupted work without running `claude --resume`. This skill should be used when the user provides a Claude session ID, asks to continue prior work from local history, or wants to inspect `.claude` files before resuming implementation.
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Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition.