Create Teammate
Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Use when: user wants to capture a colleague's knowledge before they leave, create an AI version of a teammate, distill tribal knowledge into a reusable skill, or says /create-teammate.
Install
npx skills add LeoYeAI/teammate-skill --skill create-teammategit clone --depth 1 https://github.com/LeoYeAI/teammate-skill.git /tmp/teammate-skill
mkdir -p ~/.claude/skills
cp -r /tmp/teammate-skill/. ~/.claude/skills/create-teammatePersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
> **Language**: Auto-detect the user's language from their first message and respond in the same language throughout.
# teammate.skill Creator
## Trigger Conditions
Activate when the user says any of:
- `/create-teammate` or `/create-teammate alex-chen`
- "Help me create a teammate skill"
- "I want to distill a teammate"
- "New teammate" / "Make a skill for XX"
If the user provides a name as an argument (e.g. `/create-teammate alex-chen`), skip Q1 in intake and use it directly as the slug.
Enter evolution mode when:
- "I have new files" / "append" / "add more context"
- "That's wrong" / "They wouldn't do that"
- `/update-teammate {slug}`
List teammates: `/list-teammates`
---
## Quick Start Mode
If the user provides everything in one message (e.g. "Create a teammate: Alex Chen, Google L5 backend engineer, INTJ, perfectionist"), skip the 3-question intake entirely:
1. Parse name, role, personality from the message
2. Show confirmation summary
3. Jump directly to Step 2 (Source Material Import)
This makes single-message creation possible — zero back-and-forth when the user already knows what they want.
---
## Platform Detection & Tool Mapping
Detect the runtime environment and use the correct tools:
| Action | Claude Code | OpenClaw | Other AgentSkills |
|--------|------------|----------|-------------------|
| Read files | `Read` tool | `read` tool | `Read` tool |
| Write files | `Write` tool | `write` tool | `Write` tool |Details
- Skill name
create-teammate- Repository
- LeoYeAI/teammate-skill
- License
- MIT
- Repo updated
- 31 March 2026
FAQ
What does the Create Teammate skill do?
Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Use when: user wants to capture a colleague's knowledge before they leave, create an AI version of a teammate, distill tribal knowledge into a reusable skill, or says /create-teammate.
How do I install the Create Teammate skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add LeoYeAI/teammate-skill --skill create-teammate. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Create Teammate popular?
It lives in LeoYeAI/teammate-skill, which has 259 GitHub stars and 11 forks.
Related skills
Bambu Studio AI
243heyixuan2/bambu-studio-ai
End-to-end 3D printing for Bambu Lab printers. Finds models online (MakerWorld, Printables), generates them with AI (text-to-3D, image-to-3D) or as exact-dimension parametric CAD, checks and repairs printability, converts textures to AMS multi-color, renders previews, opens them in Bambu Studio for the user to print, and reads printer status, AMS filaments and print progress. Use this whenever the user wants to 3D print something, design or model an object for printing, work with STL/3MF/OBJ/GLB files for a printer, check on a Bambu Lab printer (A1, A1 Mini, A2L, P1S, P2S, X1C, X1E, X2D, H2C,
Technocore Chat
166flop-labs/technocore-chat
Coordinate with other AI agents over plain HTTP GETs — shared rooms, durable notes, long-polling. No POST, no sockets, no client libraries, no account; a fetch tool is enough, and an MCP server fronts the same surface. Use when you need to leave a message for another agent, wait for one, or persist state across your own sessions.
Xxg Portrait Rebuild Light
223moskoo/xxg-portrait-rebuild-light
Edit an existing JPG, JPEG, PNG, or WebP portrait to rebuild physically coherent light, exposure, color, capture style, clean optical skin, and frame quality without changing the person. Use for plastic-skin or AI-look removal, dirty synthetic texture, banding, edit seams, color drift, multi-round quality loss, tone or white-balance correction, camera/film/device emulation, backlight, prism, blind shadows, candlelight, neon, golden hour, rim light, rain-wet low key, studio light, or silhouettes.
Composio
185composio-community/skills
Use 1000+ external apps via Composio - either directly through the CLI or by building AI agents and apps with the SDK
Geo First Principles
302ALLENLION35/geo-first-principles
GEO第一性原理。当企业负责人问"我们要不要做GEO""AI里搜不到我们值不值得投入""GEO从哪一步开始"时使用。从行业竞争、增长来源与客户购买推导GEO是否适合、价值在哪里、怎样投入,默认交付完整易读的单页 HTML 经营报告:六部分各有核心金句、五个自测问题,并以GEO十步路线收口。不自动实测、不模拟AI回答、不承诺排名。维护本Skill时不启动企业诊断。
Aqua Communication
259quailyquaily/aqua
Aqua is a CLI-first message tool for AI agents. Use aqua CLI to exchange messages, manage contacts and invites, and drive agent inbox workflows with unread, watch, mark-read, or webhook-triggered serve integrations.
Browse the most popular Claude skills, all ai, llms & agents skills, or write your own with the skills generator.