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技能1.0.0

Team Knowledge

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Structured knowledge layer for agent teams - lessons, decisions, and tasks

toli488 次下载

关于

Structured knowledge layer for agent teams. Three primitives: lessons, decisions, and tasks. Agent teams accumulate experience across dozens of sessions. Without a structured way to capture it, lessons get lost, decisions get contradicted, and the same mistakes happen twice. Each agent's MEMORY.md only knows what that agent experienced. What this skill gives your team: - Lessons: What we learned (prevents repeated mistakes) - Decisions: Why we chose X (prevents contradictory choices) - Tasks: What needs doing (self-managed work queue) All stored as plain markdown with YAML frontmatter. Searchable via grep or semantic memory (QMD). Any agent can read/write. Includes templates, maintenance protocol, and search patterns.


说明文档

Team Knowledge

Version: 1.0.0 | Changelog

Structured knowledge layer for agent teams. Three primitives: lessons, decisions, and tasks.

The Problem

Agent teams accumulate experience across dozens of sessions. Without a structured way to capture it, lessons get lost, decisions get contradicted, and the same mistakes happen twice. Each agent's MEMORY.md only knows what that agent experienced.

What This Skill Does

Gives your agent team a shared brain:

  • Lessons: What we learned (prevents repeated mistakes)
  • Decisions: Why we chose X (prevents contradictory choices)
  • Tasks: What needs doing (self-managed work queue)

All stored as plain markdown with YAML frontmatter. Searchable via grep or semantic memory (QMD).

Install

Copy team-knowledge/ into any agent's skills/ directory. Best installed on your lead/coordinator agent. All agents can read/write to the shared directory.

Works With

Any OpenClaw agent team. Best combined with semantic memory (QMD) for search. Works without it via grep.

Version

v1.0.0 (2026-03-04)


包含文件

  • pfp.png.png
  • README.md.md
  • SKILL.md.md

MIT来源链接即将补充作者:tolisouls.design