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Team Context

한국어

A shared team knowledge mounting system for AI coding agents. Fork this template, fill it with your team's knowledge, and let your AI agent reference it automatically.

Why

AI coding agents start every conversation from scratch. They don't know your team's conventions, glossary, project structure, or who owns what. Team Context fixes this — mount a shared knowledge repo and your agent instantly understands the team.

How It Works

┌─────────────────────────────────┐
│  Team repo (GitHub/GHE)         │
│  conventions/ glossary/ ...     │
└──────────────┬──────────────────┘
               │  mount
               ▼
┌─────────────────────────────────┐
│  ~/.claude/team-context/{id}/   │
│  Local cache + CLAUDE.md inject │
└──────────────┬──────────────────┘
               │  auto-reference
               ▼
┌─────────────────────────────────┐
│  AI agent reads team knowledge  │
│  during any conversation        │
└─────────────────────────────────┘
  1. Fork this template repo
  2. Fill it with your team's docs (conventions, glossary, projects, services)
  3. Mount it in Claude Code:
    Install team context from: https://[your-pages-url]/SETUP.md
    
  4. Your agent now knows your team's knowledge

What Goes In

Directory Purpose
glossary/ Team-specific terms, acronyms, internal system names
conventions/ Coding conventions, naming rules, branch strategy
projects/ Current projects, epics, sprint info
services/ Service architecture, dependencies, ownership
docs/ Onboarding guides, process docs

Operations

Command What It Does
mount Install a team context from a SETUP.md URL
unmount Remove a mounted team context
update Pull latest from remote repo
push Add/edit content and push back to the shared repo

External Source Sync

Add .context/sources.yml to auto-sync from Confluence, Jira, or GitHub:

sources:
  - id: team-wiki
    type: confluence
    space: YOUR_SPACE_KEY
    sync_to: docs/

See sources.example.yml for the full template.

Guardrails

Built-in safety rules prevent collecting secrets, PII, personal opinions, or org-sensitive information. The guardrails enforce: improve systems and processes, never judge people.

License

MIT

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Shared team knowledge mounting system for AI agents — fork, fill with your team docs, mount in Claude Code

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