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Found 1,140 Skills
Create comprehensive technical roadmaps aligned with business goals. Plan technology investments, architecture evolution, and infrastructure improvements over quarters and years.
Run the Codex Readiness unit test report. Use when you need deterministic checks plus in-session LLM evals for AGENTS.md/PLANS.md.
Requirements Discovery Specification, applicable to exploratory scenarios, helps users identify high-ROI functional directions when they are confused through role-playing. Automatically triggered, purely conversational inspiration.
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.
Large Language Model development, training, fine-tuning, and deployment best practices.
Multidisciplinary analytical engine using Charlie Munger's latticework of mental models. Applies cross-disciplinary thinking (math, physics, biology, psychology, economics) to dissect life and business decisions. Use when user presents a decision problem, investment question, or complex analysis request requiring deep rational analysis.
Polars fast DataFrame library. Use for fast data processing.
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.
Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow DevKit, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill injection for complex, multi-system builds.
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.
Use when conversation context is too long, hitting token limits, or responses are degrading. Compresses history while preserving critical information using anchored summarization and probe-based validation.