Team Knowledge
FreeStructured knowledge layer for agent teams - lessons, decisions, and tasks
About
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.
README
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)
Files included
- pfp.png.png
- README.md.md
- SKILL.md.md