Agent Skills
› Jamailar/Beav
› member-skill-distiller
member-skill-distiller
GitHub将团队成员信息提炼为持久化技能包,保留其身份、风格与知识边界。通过会话元数据激活,支持从文件及字幕提取证据,确保模型以特定成员身份响应并提供可审计的推荐。
Trigger Scenarios
需要编译团队成员为技能包时
基于个人资料或视频字幕构建专属角色技能时
Install
npx skills add Jamailar/Beav --skill member-skill-distiller -g -y
SKILL.md
Frontmatter
{
"name": "member-skill-distiller",
"hookMode": "inline",
"description": "Distill team members from profile, files, and YouTube subtitles into session-activated member skills.",
"allowedTools": [
"resource"
],
"autoActivate": false,
"activationScope": "turn",
"allowedRuntimeModes": [
"advisor-discussion",
"chatroom",
"wander",
"redclaw"
]
}
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.
Version History
- f089417 Current 2026-08-20 04:15


