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Context Fetcher

fetch-context

Load minimal relevant context for the current task

SKILL.md

Full skill instructions

Context Fetcher

Load minimal, task-relevant context following the "minimal by default" philosophy.

Execution

Run the context fetcher agent:

./​agents/​context-fetcher.sh

Context Philosophy

Minimal by default. Only load what's directly relevant to the current task:

  • Full file contents → Just file paths
  • All documentation → Only relevant sections
  • Complete history → Just recent relevant commits
  • Every test → Only tests for current scope

Context Sources

SourceWhat's Loaded
context/​purpose.mdProject goals (first 50 lines)
.claude/​claude.mdProject-specific instructions
.contextium/​tasks.jsonCurrent task scope
.contextium/​context-cache/Task-specific cached context

Project Detection

Automatically detects project type:

  • Node.js - package.json
  • Rust - Cargo.toml
  • Python - pyproject.toml, setup.py
  • Go - go.mod

Memory Systems

Reports availability of:

  • Memvid - .contextium/​memory.mv2
  • GibRAM - Knowledge graph on port 6161

Output

=== CONTEXT FOR SESSION ===
Project: contextium (docs)
Task: implement-feature-x

Key Files:
- src/​features/​x/​index.ts: Main feature entry
- tests/​features/​x.test.ts: Feature tests

Available Memory:
- Memvid: no
- GibRAM: no
===========================

Caching Task Context

To cache context for a task:

mkdir -p .contextium/​context-cache
cat > .contextium/​context-cache/​my-task.md << 'EOF'
# Context for my-task

## Relevant Files
- src/​module.ts - Main implementation
- tests/​module.test.ts - Tests

## Notes
- Uses pattern X for Y
- Must maintain backwards compatibility
EOF