智能体
Agent 规划、多步流程与编排
portfolio-v2
itsyaba
A brief description of what this skill does
pydantic-ai-agents
Fuenfgeld
"Build and debug Pydantic AI agents using best practices for dependencies, dynamic system prompts, tools, and structured output validation. Use when the user wants to: (1) Create a new Pydantic AI agent, (2) Debug or fix an existing agent, (3) Add features like tools, validators, or dynamic prompts, (4) Integrate OpenRouter for multi-model access, (5) Add Logfire for debugging/observability, (6) Structure agent architecture with dependency injection."
fission-workflow-skill
sjkim1127
"Fission 프로젝트의 개발 및 유지보수를 위한 핵심 워크플로우 스킬입니다. 코드 작성, 테스트 실행, 문서 업데이트, 버그 수정 등의 작업을 체계적으로 처리합니다."
terraform
Tyler-R-Kendrick
Use when writing Terraform configurations for multi-cloud infrastructure. Covers HCL resources, modules, state management, providers, and plan/apply workflow. USE FOR: multi-cloud provisioning, HCL configuration, Terraform state management, provider modules, plan/apply workflow DO NOT USE FOR: imperative infrastructure code (use pulumi), Azure-only deployments (use bicep), AWS-only stacks (use cloud-formation)
pydantic-evals
Fuenfgeld
"Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate reports, (4) Compare model performance across experiments, (5) Integrate evaluations with Pydantic AI agents, (6) Set up observability with Logfire, (7) Generate test datasets using LLMs, (8) Implement regression testing for AI systems."
coding-router
kesslerio
"Compatibility entry skill for plan-first coding work in OpenClaw."
cagent
Tyler-R-Kendrick
Use when building or running multi-agent systems with Docker cagent. Covers YAML agent configuration, MCP tool integration, sub-agents, Docker MCP Gateway, and the cagent CLI. USE FOR: multi-agent orchestration, YAML agent configuration, Docker MCP Gateway, running agent teams locally DO NOT USE FOR: declarative agent definitions without runtime (use adl), agent-to-agent protocol (use a2a), tool server development (use mcp)
hello-skill
Peiiii
Minimal example Skill for testing skild installs.
skild
Peiiii
Skill package manager for AI Agents — install, manage, and publish Agent Skills.
project-os
Peiiii
AI project OS for autonomous loop, automated orchestration, and rule-driven execution.
Failure Postmortem
Sounder25
Structured logging and analysis of execution failures to prevent recurrence.
openserv-agent-sdk
openserv-labs
Build and deploy autonomous AI agents using the OpenServ SDK (@openserv-labs/sdk). IMPORTANT - Always read the companion skill openserv-client alongside this skill, as both packages are required to build and run agents. openserv-client covers the full Platform API for multi-agent workflows and ERC-8004 on-chain identity. Read reference.md for the full API reference.
Impasse Detector
Sounder25
Detects when the agent is stuck in a reasoning loop or unproductive state by analyzing tool usage and sentiment patterns.
openserv-ideaboard-api
openserv-labs
Quick-start guide and API overview for the OpenServ Ideaboard - a platform where AI agents can submit ideas, pick up work, collaborate with multiple agents, and deliver x402 payable services. Use when interacting with the Ideaboard or building agents that find and ship ideas. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
openserv-client
openserv-labs
Complete guide to using @openserv-labs/client for managing agents, workflows, triggers, and tasks on the OpenServ Platform. Covers provisioning, authentication, x402 payments, ERC-8004 on-chain identity, and the full Platform API. IMPORTANT - Always read the companion skill openserv-agent-sdk alongside this skill, as both packages are required to build any agent. Read reference.md for the full API reference.
openserv-multi-agent-workflows
openserv-labs
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
openserv-launch
openserv-labs
Launch tokens on Base blockchain via the OpenServ Launch API. Creates ERC-20 tokens with Aerodrome concentrated liquidity pools. Use when launching tokens, deploying memecoins, or building agents that create tokens with locked LP. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents. You can launch tokens for your OpenServ agents.
Context Window Pruner
Sounder25
Optimize information density by filtering workspace files based on relevance to the current task. Excludes high-noise files (lockfiles, assets) and prioritizes source code matching semantic queries.
Async Feedback Loop
Sounder25
Enables mid-stream course correction by monitoring a FEEDBACK.md file for user interventions. Allows the agent to incorporate new instructions without restarting the task.
Agent-Swarm Spawner
Sounder25
Prepares isolated sub-workspaces for parallel agent execution. Copies context and generates specific mission instructions for "Worker" agents.
langgraph-tutor
timothywarner-org
Expert skill for teaching LangGraph - the orchestration framework for stateful AI agents. Covers StateGraph, nodes, edges, conditional routing, checkpointing, human-in-the-loop, and multi-agent patterns. Invoke when users ask about LangGraph, building agent graphs, state machines for LLMs, or workflow orchestration. Keywords: langgraph, state graph, agent workflow, orchestration, multi-agent, checkpointing, human-in-the-loop.
Adversarial Reviewer
Sounder25
Generates a 'Red Team' critique of recent code or plans to identify weak assumptions and edge cases.
llms.txt & Doc Parsing
Sounder25
Rapidly ingest documentation via the /llms.txt standard to gain "fast-track" understanding of libraries without scraping entire sites.
eino
fanqingxuan
"Eino LLM/AI application development framework assistant (Golang). Use when the user needs to: (1) Build AI agents, (2) Create LLM applications, (3) Implement tool calling, (4) Build multi-agent systems, (5) Create workflows with Graph/Compose, (6) Implement streaming, (7) Human-in-the-loop patterns, or any other Eino framework development tasks. Triggers on phrases like \"Eino å¼å\", \"å建 Agent\", \"LLM åºç¨\", \"AI Agent\", \"Eino æ¡æ¶\", \"æ建æºè½ä½\"."