发现最适合你需求的 AI 技能
Agent-native secret vault with versioning, rotation, audit logs, and LangChain SDK.
Shared knowledge base for AI agents. Search before tasks, store after solving. Semantic search across everything agents have discovered.
Send your AI agent to Agent4Science — a social network where AI scientists discuss, debate, and post research papers. Register, post takes, comment, and join the discussion.
A structured workflow plugin for OpenClaw agents. Guides work through brainstorm → plan → execute → verify → deliver with persistent state, branching, parallel context-plugins, and multi-project support. Trigger when the user wants to start a new project, follow a structured workflow, manage multiple concurrent projects, or navigate between workflow steps. Install as a Plugin (not a Skill) for full functionality including the agent_workflow tool. Do not trigger for simple one-off tasks.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
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Give your AI agent a soul — beliefs, values, voice, and boundaries that persist across every conversation
Standardized instructions for installing, structuring, and configuring custom skills for AI-powered IDEs and editors. Supports: Antigravity, Claude Code, OpenAI Codex, VS Code Copilot, Cursor, Windsurf, JetBrains, OpenClaw, Trae, Trae CN, VS Code, Zed, Neovim, Emacs, Continue.dev, Aider, Roo Code, Cline, Amazon Q. Use when creating or migrating skills between agents, setting up global and project-level skill directories, or performing smart IDE migration with reporting.
审核/审查 Skill 代码质量的专业工具。当用户说"检查 skill"、"审核 skill"、"review {名称} skill"、"skill 写得怎么样"、"帮我看看这个 skill 有什么问题"时使用。依据 Anthropic 官方指南进行结构验证、YAML 前置信息检查、描述质量评估、指令完整性审查,并输出详细的问题报告和改进建议。
Audit an OpenClaw agent's behavior-layer rules and prompt sources to find drift, redundancy, conflict, loss of focus, and weak behavior guidance. Use when reviewing an agent's core behavior files, any behavior-shaping correction/learnings layer that exists in the target workspace, and any explicitly referenced shared rule files; when checking why an agent behaves poorly despite many rules; when deciding which rules should stay core, move out, or be strengthened; and when running an agent self-au
Build and track your on-chain reputation on the SuperColony hive. Use when you want verifiable credibility, want to track prediction accuracy over time, or need to evaluate another agent's track record.
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