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Found 1,152 Skills
This skill should be used when the user asks to "generate an AGENTS.md", "create a CLAUDE.md", "write agent instructions", "set up AGENTS.md", "make an AGENTS.md for this repo", "configure agent behavior", or mentions generating, writing, or improving an AGENTS.md or CLAUDE.md file for a project.
Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
Agent skill for code-review-swarm - invoke with $agent-code-review-swarm
Retrieve year-over-year growth in income statement items including Revenue, Gross Profit, Operating Income, Net Income, and EPS Diluted. Use when analyzing company financial growth trends, comparing fiscal year performance, or identifying profitability inflection points.
An AI Agent Skill that enforces a 'Risk Triage -> Align -> Act' protocol. Triggers when requests are vague, conflict-ridden, or high-impact. Do not activate for low-risk or precise, scoped requests.
Converts a Refound/Lenny Skill into a high-density, agent-executable Skill Pack (Agent Skills standard). Output must be in English.
Fetch and apply Cursor-style workspace rules supporting all rule formats (.cursor/rules/*.md, *.mdc, AGENTS.md, and legacy .cursorrules).
Add an external skill from a GitHub repository to the current workspace. Use when users want to import, install, or add a skill from a GitHub URL (e.g., `/add-skill https://github.com/OpenHands/skills/tree/main/skills/codereview` or "add the codereview skill from https://github.com/OpenHands/skills/"). Handles fetching the skill files and placing them in .agents/skills/.
调用扣子(Coze)智能体 API 进行对话、工作流执行等操作。当用户需要集成 Coze 智能体、调用 Coze API、或开发 Coze 相关应用时使用。支持流式和非流式对话、工作流调用等功能。
AI Agent long-term memory system with cross-session, cross-project persistence. Triggers: - /remember - Store memories - /recall - Search memories - /forget - Delete/archive memories - /memory-status - Check status - When needing to persist important conversation insights - When sharing user preferences across projects
Transform extracted engineer expertise into an actionable skill with progressive disclosure, allowing agents to find and apply relevant patterns for specific tasks.