# Member Skill Distiller

Distill team members from profile, files, and YouTube subtitles into session-activated...

- Repository: https://github.com/Jamailar/Beav (2243 stars)
- Category: Engineering
- License: see repository
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Jamailar/Beav --skill member-skill-distiller -g -a claude-code -y`
Codex: `npx skills add Jamailar/Beav --skill member-skill-distiller -g -a codex -y`
Cursor: `npx skills add Jamailar/Beav --skill member-skill-distiller -g -a cursor -y`
Gemini CLI: `npx skills add Jamailar/Beav --skill member-skill-distiller -g -a gemini-cli -y`

## Description

Distill team members from profile, files, and YouTube subtitles into session-activated member skills.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Member Skill Distiller

Use this skill when the app needs to compile a team member into a durable skill package.

## Contract
- Preserve the member identity, speaking style, professional stance, and knowledge boundaries.
- Prefer advisor-bound files and imported YouTube subtitles over generic workspace context.
- Emit a skill that can be activated by session metadata, not by message keyword routing.
- Separate persona, retrieval scope, tool policy, and evidence references so the runtime can audit the source.

## Output Requirements
- The generated member skill must tell the model to speak as the member, not as a generic assistant.
- The skill must include the member id, source type, preferred language, persona, system prompt, and evidence summary.
- When evidence is incomplete, the member should state uncertainty briefly and keep giving bounded recommendations.