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Found 13,529 Skills
Launch 3 research agents in parallel — market, users, tech — fast answers
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
Brief description of what this skill does and when to use it. Be specific about capabilities and use cases to help agents decide when to load this skill.
Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.
This skill should be used when the user asks to "audit for AI visibility", "optimize for ChatGPT", "check GEO readiness", "analyze hedge density", "generate agentfacts", "check if my site works with AI search", "test LLM crawlability", "check discovery gap", or mentions Generative Engine Optimization, AI crawlers, Perplexity discoverability, or NANDA protocol.
CRITICAL skill for executing multiple runSubagent calls in a SINGLE function_calls block for true parallelism. Essential for efficient multi-task workflows, subagent coordination, and maximizing throughput.
OpenClaw 官方文档知识库,一个多渠道 AI Agent 网关。当用户询问 OpenClaw 相关问题(如安装、配置、Gateway、WhatsApp/Telegram/Discord 等渠道连接、Sessions、Tools、Skills、Pi Agent、故障排查等)时使用此 skill。
Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 6 specialists, generates health score. Use when user says "audit", "full SEO check", "analyze my site", or "website health check".
Generates agentic outside-in tests using gadugi-agentic-test framework for CLI, TUI, Web, and Electron apps. Use when you need behavior-driven tests that verify external interfaces without internal implementation knowledge. Creates YAML test scenarios that AI agents execute, observe, and validate against expected outcomes. Supports progressive complexity from simple smoke tests to advanced multi-step workflows.
Comprehensive skill for Graphiti and Zep - temporal knowledge graph framework for AI agents with dynamic context engineering
Claude Code 环境一键同步工具。从 GitHub 仓库同步所有配置到本地:output-styles 风格、CLAUDE.md 全局提示词、MCP 服务器配置、Agent 配置、Plugin 配置。适用于多设备统一环境、换电脑恢复、团队共享配置等场景。当用户需要从 GitHub 仓库同步 Claude Code/OpenClaw 环境配置时使用此 skill。
Standardized patterns for how agents discover, reference, and compose skills using progressive disclosure architecture