autonomous-loop
Iterate until success or limit, composing existing skills with Jidoka integration
339 repo starsObserved in 2 repos
Agent Building
Agent Building skills
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
lap
LAP CLI -- compile, search, and manage API specs for AI agents. Use when working with API specifications (OpenAPI, GraphQL, AsyncAPI, Protobuf, Postman), compiling specs to LAP format, searching the LAP registry, generating skills from API specs, or publishing APIs. Commands: init, compile, search, get, skill, skill-install, skill-batch, publish, login, logout, whoami.
339 repo starsObserved in 1 repos
Agent Building
skill-improver
Improve skills and workflows by analyzing run artifacts and execution logs (events.jsonl/state.json) under runs/ (or OpenSpec changes/). Use when you want to iterate on skills based on real runs: find failure modes, bottlenecks, unclear prompts, missing I/O contracts, and propose concrete edits.
339 repo starsObserved in 1 repos
Agent Building
omd:orchestrator
멀티 에이전트 디자인 워크플로우 supervisor. omd-kr-writer, omd-locale-adapter, omd-designer-review, omd-final-qa, omd-codex-image를 routing. 2-round revision cap 유지. 블로그/컴포넌트/아티클 등 multi-role 작업에 트리거 ('블로그 글 작성', 'KR+EN 동시 발행', '디자인 리뷰 받고 다듬어줘').
336 repo starsObserved in 1 repos
Agent Building
conductor
Validate, run, and execute workflows; creating new workflows when explicitly asked. Use when orchestrating AI agents via YAML workflow files, executing an existing workflow, debugging execution, configuring routing between agents, setting up human-in-the-loop gates, or understanding workflow YAML schema. Only create new workflows when explicitly asked.
334 repo starsObserved in 1 repos
Agent Building
using-n8n-skills-official
Use when working with n8n workflows in any capacity. The always-on protocol for the n8n-skills plugin, loaded by the SessionStart hook every session. Routes to the right skill, summarizes every n8n MCP tool (closing the deferred-description gap), and lists the cross-cutting rules.
333 repo starsObserved in 2 repos
Agent Building
n8n-agents-official
Use when building or editing any AI feature in n8n: AI Agents, Text Classifier, Information Extractor, Sentiment Analysis, Summarization Chain, Basic LLM Chain, embeddings, vector stores, single one-shot LLM calls, or AI media generation (image / audio / video) via the native LangChain provider nodes. Triggers on any `@n8n/n8n-nodes-langchain.*` node, "agent", "chat assistant", "LLM with tools", "tool calling", "fromAi", "system prompt", "memory window", "structured output", "outputParser", "function calling", "RAG", "vector store", "embeddings", "classify with AI", "extract fields with LLM", "sentiment analysis", "summarize with LLM", "single LLM call", chat triggers with files, AI image / video / audio generation, or any multi-turn or one-shot LLM behavior.
333 repo starsObserved in 1 repos
Agent Building
n8n-extending-mcp-official
Use when you want to expose an n8n workflow as a tool the coding agent can call. Two cases. (1) Wrap n8n API capabilities the MCP doesn't natively expose: folder CRUD, tag rename/delete, instance metadata, credential creation. (2) Expose a general-purpose workflow as an agent tool: a workflow that calls a third-party API, runs business logic, or does any task you want the agent to invoke. Triggers on "expose as MCP tool", "build a tool for my agent", "I need to know X" where X isn't an MCP tool, "create folder", "rename tag", or any capability gap.
333 repo starsObserved in 1 repos
Agent Building
gcp-agent-eval-engine-runner
Boilerplate for a production evaluation runner that performs parallel inference, captures reasoning traces via SSE, and integrates with the Vertex AI Gen AI Evaluation service.
332 repo starsObserved in 2 repos
Agent Building
gcp-agent-eval-metric-configurator
Provides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.
332 repo starsObserved in 2 repos
Agent Building