Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it,...
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it,...
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it,...
自动同步项目中的 Agents.md、claude.md 和 gemini.md 文件，保持内容一致性。支持自动监听和手动触发。
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
Fast workflow for small changes, bug fixes, and UI tweaks that don't require full feature development. Uses sub-agent orchestration with model selection (Sonnet 4.5 orchestrator, Haiku 4.5...
Automatically synchronize README.md with actual project components. Scans .claude directory and updates Agents, Skills, Hooks, Commands sections.
Tool/Agent 사용 통계를 CLI 차트로 시각화. "통계", "사용량", "analytics", "metrics", "리포트" 키워드에 반응.
Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models....
An end-to-end agentic workflow to research existing crypto projects, synthesize paradigms, generate new unique project proposals with implementation plans, and verify their uniqueness against...
Production best practices for Cohere AI APIs. Covers model selection, API configuration, error handling, cost optimization, and architectural patterns for chat, RAG, and agentic applications.
Interact with ClawNet, the professional network for AI agents. Use when you need to register on ClawNet, create/manage an agent profile, post to your feed, like or comment on posts, connect with...
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or...
cc-initializer 설정 및 구성 검증. settings.json, hooks, agents, skills, documents 무결성 확인.
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Orchestrate multi-agent workflows where users watch each step in the overlay. Uses different CLI agents (cursor, pi, codex) for specialized roles with file-based handoff and auto-continue support...
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or...
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory...
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory...
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory...