# Phase 0: Context System Bootstrap

**Date:** 2026-02-13
**Objective:** Create the scaffolding for the G1 expert agent knowledge base

## What Was Done

1. Created full directory structure:
   - `context/` — 13 topic files (all provisional, ready for data)
   - `reference/` — glossary.yaml with initial terms
   - `examples/` — empty, ready for worked examples
   - `phases/` — this file
   - `assets/` — empty, ready for images/diagrams
   - `tools/` — empty, ready for utility scripts
   - `_archive/` — empty

2. Created CLAUDE.md with:
   - Expert agent identity declaration
   - Lookup protocol (7-step question answering procedure)
   - Quick Topic Lookup table (17 rows)
   - Idea formulation protocol
   - Conventions and DO NOT rules
   - Evidence tier system (T0-T4)
   - Key concepts map
   - Content addition guidelines
   - History table

3. Created topic files for:
   - hardware-specs, joint-configuration, sensors-perception
   - locomotion-control, manipulation
   - sdk-programming, ros2-integration
   - simulation, learning-and-ai
   - power-system, safety-limits
   - networking-comms, deployment-operations
   - equations-and-bounds, open-questions

4. Created glossary with ~12 initial terms across hardware, sensors, software, control, power, and safety categories.

## What's Next

- **Phase 1:** Populate context files from official Unitree documentation, spec sheets, and SDK repos
- Priority sources to find:
  - Official Unitree G1 spec sheet / product page
  - unitree_sdk2 GitHub repository and documentation
  - unitree_ros2 GitHub repository
  - URDF/MJCF models (MuJoCo Menagerie, Unitree repos)
  - Published papers on G1 locomotion / control
  - Community resources (forums, Discord, YouTube teardowns)