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Found 1,197 Skills
Expert in building comprehensive AI systems, integrating LLMs, RAG architectures, and autonomous agents into production applications. Use when building AI-powered features, implementing LLM integrations, designing RAG pipelines, or deploying AI systems.
Autonomous prior art search and analysis agent. Searches multiple databases, analyzes references, creates claim charts, and assesses patentability impact.
Understand ContextVM core concepts, architecture decisions, and frequently asked questions. Use when users need clarification on what ContextVM is, why it uses Nostr, decentralization benefits, public vs private servers, network topology, or comparisons with traditional MCP.
Extracts valuable learnings, patterns, and workflows from conversations and persists them as reusable skill files. This skill should be used when a complex problem was solved, a valuable workflow was discovered, or the user explicitly requests to capture knowledge as a skill.
Day 2 보충 자료 - MCP 딥다이브. Claude Code에 외부 도구를 연결하는 MCP를 체계적으로 배운다. "MCP 배우기", "MCP 보충", "MCP 강의", "MCP 학습" 요청에 사용.
Official PostgreSQL Model Context Protocol Server for database interaction.
Example skill template. Replace this description with keywords and triggers for your actual skill. This description determines when the skill auto-loads based on conversation context.
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
Teaches and deploys Edmund Burke's conservative philosophy: preserve organic social order, tradition, institutions, and gradual reform against revolutionary chaos.
Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2) optimize/condense existing AGENTS.md to reduce token count, (3) update/refresh AGENTS.md to sync with codebase changes, (4) validate AGENTS.md quality and completeness, or (5) improve AGENTS.md files to be more effective for AI agents. Always generates token-efficient, condensed output focused on actionable commands and patterns while maintaining model-agnostic language.
N coordinated agents on shared task list (compatibility facade over team)
Determine the escalation path (Researcher vs. Human) and format the appropriate handoff. Used when the fix-engine has exhausted retry attempts.