Browse reusable Agent Skills, each with a clear purpose and practical guidance.
You are an expert in PydanticAI, the Python agent framework built by the Pydantic team. You help developers create type-safe AI agents with structured outputs, dependency injection, tool definitions, streaming, and model-agnostic design — leveraging Pydantic for validation and type safety throughout the agent lifecycle.
Shared memory workflow for Claude Code agents connected to Remnic — recall before acting, observe during work, remember at the end. Trigger phrases include "what do you remember about", "save this for later", "any context from last time".
스킬러들의 수다 — 4명의 전문가 관점이 수다 떨며 바이브코더의 아이디어를 동작하는 Codex 스킬로 변환한다. Use when the user asks to "스킬 만들어줘", "스킬러들의 수다", "수다", "Codex 스킬 만들어줘", "이 스킬 개선해줘", "skill builder", "make a skill", "create a skill", "build a skill", "improve this skill".
Build swarm intelligence systems where multiple AI agents collaborate to make predictions and solve complex problems. Use when: implementing ensemble AI predictions, building consensus-based decision systems, creating multi-agent prediction markets.
Local-first LLM agent observability that closes the loop: records agent work on the user's machine, then feeds the useful parts back into the next turn via hooks, MCP tools, and anomaly detection. Use when users say: - "install tma1" - "upgrade tma1" - "update tma1" - "setup observability" - "monitor my agent" - "how much am I spending on tokens" - "what has my agent been doing" - "local observability" - "I don't want to send data to the cloud" - "track token usage" - "agent metrics" - "agent telemetry" - "what is my agent executing" - "agent security audit" - "prompt injection risk" - "close the agent loop" - "inject session context" - "call tma1 MCP tools" - "list anomalies" - "show me detected anomalies" - "what did Codex / OpenClaw / Copilot do on this project" - "/tma1-peer" - "block stop on anomalies" - "what's the build status"
Meta-skill for discovering and invoking the right agent skill for any task. Use when starting a session, when unsure which skill applies, or when you need to understand the development lifecycle and how skills chain together. Covers skill discovery, core operating behaviors, and failure modes to avoid.
Coach AI-collaboration quality from recent Codex conversations across 4 modes (request quality, anti-pattern, concept, overall), analyzed with the v2 level system (6 axes × 7 levels, 0.5 increments). Use when the user says "멘토링해줘", "코칭해줘", "요청 코칭", "뭘 잘못하고 있는지", "어떻게 요청하면 좋을지", or "improve my AI collaboration".
Initialize vibe-sunsang for Codex — create the local workspace, classify workspace types, generate CLAUDE.md, and run the first Codex-session conversion. Use when the user says "바선생 시작", "vibe-sunsang setup", "온보딩", "초기 설정", "초기화", "셋업", or wants to start tracking AI-collaboration growth.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when "build agent, AI agent, autonomous agent, tool use, function calling, multi-agent, agent memory, agent planning, langchain agent, crewai, autogen, claude agent sdk, ai-agents, langchain, autogen, crewai, tool-use, function-calling, autonomous, llm, orchestration" mentioned.
Comprehensive patterns for building AI-powered code generation tools, code assistants, automated refactoring, code review, and structured output generation using LLMs with function calling and tool use. Use when "code generation, AI code assistant, function calling, structured output, code review AI, automated refactoring, tool use, code completion, agent code, " mentioned.