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agentic-ai

Topic: agentic-ai

3,764 skills in this topic.

myco:implement-update-tool-fetch-merge-put Use this skill whenever you are implementing or fixing an update_* tool in unifi-mcp. It covers the mandatory fetch-merge-put pattern, deep_merge semantics, V2 API response gotchas, the confirm double-fetch design, LLM UX requirements for dict params, and when flat params are appropriate instead. Applies even if the user only says "add an update tool for X" without specifying the implementation approach — the pattern is required for all update tools in this project.
sirkirby/unifi-mcp 245
myco:community-pr-review Use this skill when reviewing or merging any community PR in unifi-mcp — even if the user just says "take a look at this PR" or "can we merge this." Covers the complete quality gate checklist (f-string logger ban, validator registry registration, doc site update ordering), the fork-edit model for trusted contributors, org-fork push limitations, the dual-subagent review pattern, and PR body standards. Apply this skill before approving any externally-authored PR, before running the merge command, and when auditing recently merged PRs for compliance.
sirkirby/unifi-mcp 245
mcp-builder DEPRECATED: This skill has been replaced by `mcp-app-builder`. Check if `mcp-app-builder` is available in the skills folder. If not, install it: `npx skills install mcp-use/mcp-use --skill mcp-app-builder` Use `mcp-app-builder` instead of this skill. Build Model Context Protocol (MCP) servers with mcp-use framework. Use when creating MCP servers, defining tools/resources/prompts, working with mcp-use, bootstrapping MCP projects, or when user mentions MCP development, tools, resources, or prompts.
CopilotKit/CopilotKit 30,143
mcp-apps-builder **MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.
CopilotKit/CopilotKit 30,143
chatgpt-app-builder DEPRECATED: This skill has been replaced by `mcp-app-builder`. Check if `mcp-app-builder` is available in the skills folder. If not, install it: `npx skills install mcp-use/mcp-use --skill mcp-app-builder` Use `mcp-app-builder` instead of this skill. Build ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK. Use when creating ChatGPT apps, building MCP servers with widgets, defining React widgets, working with Apps SDK, or when user mentions ChatGPT widgets, mcp-use widgets, or Apps SDK development.
CopilotKit/CopilotKit 30,143
git-hooks CopilotKit pre-commit hook reference. Load automatically when the user mentions git hooks failing, pre-commit errors, lefthook issues, commit blocked, or "hooks don't work", or when user wants to commit/push anything Contains the full hook topology so debugging skips discovery and goes straight to diagnosis.
CopilotKit/CopilotKit 30,143
process-builder Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
a5c-ai/babysitter 514
chroma-integration Chroma local vector database setup and operations for development and production
a5c-ai/babysitter 514
chain-of-thought-prompts Chain-of-thought and step-by-step reasoning prompts for complex problem solving
a5c-ai/babysitter 514
autogen-setup Microsoft AutoGen multi-agent configuration for conversational AI systems
a5c-ai/babysitter 514
langgraph-checkpoint LangGraph checkpoint and persistence configuration for stateful workflow management
a5c-ai/babysitter 514
langfuse-integration LangFuse LLM observability integration for tracing, analytics, and cost tracking
a5c-ai/babysitter 514
langchain-tools LangChain tool creation and integration utilities for agent systems
a5c-ai/babysitter 514
langchain-retriever LangChain retriever implementation with various retrieval strategies for RAG applications
a5c-ai/babysitter 514
langchain-react-agent LangChain ReAct agent implementation with tool binding for reasoning and action loops
a5c-ai/babysitter 514
langchain-memory LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
a5c-ai/babysitter 514
langchain-chains LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
a5c-ai/babysitter 514
huggingface-classifier Hugging Face transformer model fine-tuning and inference for intent classification
a5c-ai/babysitter 514
haystack-pipeline Haystack NLP pipeline configuration for document processing and QA
a5c-ai/babysitter 514
guardrails-ai-setup Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
a5c-ai/babysitter 514
few-shot-example-gen Few-shot example generation and optimization for improved LLM performance
a5c-ai/babysitter 514
entity-memory-extraction Entity and fact extraction for user profiling and personalization
a5c-ai/babysitter 514
crewai-setup CrewAI multi-agent orchestration setup for collaborative AI systems
a5c-ai/babysitter 514
content-moderation-api Content moderation API integration using OpenAI Moderation, Perspective API, and others
a5c-ai/babysitter 514