orchestrate
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
521 skills found
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.
Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.
Expert Microsoft 365 tenant administration skill for setup, user lifecycle, security policy configuration, compliance, and automated PowerShell scripting for Global Administrators.
Outputs knowledge logs capturing project structure, implicit rules, and logic gaps during sessions.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Deploy applications to Vercel instantly. Supports preview and production deployments, automatic framework detection, and fallback script execution for seamless project publishing.
Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.
Validates Skill, Agent, and Command syntax using validate_skills.py, logs errors, and manages the automated QC workflow for agent development.
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.
Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.