Create AI Skills that mirror team members' style from Slack, GitHub, and email data.
npx skills add https://github.com/LeoYeAI/teammate-skill --skill create-teammate
Please help me install this Agent Skill. Skill: create-teammate Source: https://github.com/LeoYeAI/teammate-skill/tree/main Command: npx skills add https://github.com/LeoYeAI/teammate-skill --skill create-teammate
This Skill allows you to create AI-powered Skills that mimic the style, knowledge, and expertise of your team members, ensuring that their valuable knowledge is preserved and accessible even after they leave.
To create a new teammate skill, run the command /create-teammate in your AI agent. Follow the prompts to provide information about the person you want to model, select data sources, and generate the skill.
High-intent search queries and answers about installing and using this skill.
To capture team expertise, you can create an AI skill that mirrors a member's style and knowledge by analyzing their data sources. This process requires importing Slack messages, GitHub PRs, and email archives to model their persona and work capabilities.
Modeling a teammate's personality and work style requires importing data from sources like Slack, GitHub, email, and documents. This data enables dual-track analysis to generate a comprehensive AI skill reflecting the person's expertise.
Yes, you can create an AI skill to review PRs and provide technical advice in the style of a former engineer. By analyzing their historical GitHub PRs and Slack messages, the skill outputs a persona with their work capabilities.
Generating an AI teammate requires Python, Openclaw, and Claude Code dependencies to process the imported data and automate the creation of the customized skill. This environment supports the dual-track analysis needed for personality modeling.
The best way to automate team knowledge capture is by running a command that prompts you to select Slack and email data sources. It processes these archives to generate a customizable skill that can answer questions in the person's style.
Modeling expertise from historical documents relies entirely on the availability and quality of the provided data sources. The generated skill mirrors the person's style based on this input, but cannot reflect knowledge or experiences not captured in the archives.
AstorYHArchives Slack channel messages into a compressed file format.
tobihagemannEnforce code style consistency by mirroring surrounding code and reusing existing patterns.
gabrielkoerichGenerate a new skill directory with SKILL.md frontmatter and optional folders for scripts, references, assets.
Galaxy-DawnCreate Claude Code skills with frontmatter, structure, and progressive disclosure.
