Get Started
Quickstart
From zero to your first verified task in under 10 minutes.
Before you begin — checklist
- ✓Git installed
- ✓A project directory (any language)
- ✓Cursor, Claude Code, Gemini CLI, Codex, or OpenCode installed
Clone galdr
Clone the repo to your home directory. One-time setup per machine.
git clone https://github.com/wrm3/galdr.git ~/galdrCopy template into your project
Copy the galdr system files into your project root.
# macOS / Linux
cp -r ~/galdr/template_full/. /path/to/your-project/
# Windows (PowerShell)
Copy-Item -Recurse -Force "$HOME\galdr\template_full\*" ".\"Initialize galdr in your IDE
Open your project in your AI IDE. Run the setup command — the agent will ask your project name, mission, and tech stack.
@g-setupAfter setup, run @g-status to confirm everything loaded.
@g-statusCreate your first task
Pick something small and concrete — a bug fix, a new endpoint, a UI component. Pass it as an argument.
@g-task-new Fix the broken 404 page stylingGaldr creates .galdr/tasks/task001_fix_404_page_styling.md with acceptance criteria. Review it — edit the criteria if needed.
Implement the task
Run the implementation command. The agent reads the task, implements it, checks each acceptance criterion, and marks the task [🔍].
@g-go-code[🔍]means "awaiting verification" — it is NOT done yet. The task stays in this state until a separate verification pass confirms it.Verify in a new session
Open a new chat window (new agent session). Run the review command. This is the adversarial gate — a structurally separate agent checks the implementation.
@g-go-reviewIf all criteria pass: the task is marked [✅] complete. If something fails: it goes back to pending with a FAIL note, and you repeat from step 5.
🎉 You just completed your first galdr cycle
Create → Implement → Verify → Complete. That's the core loop. Everything else in galdr — constraints, PCAC topology, vault memory, skill packs — builds on top of this foundation.
Next steps
Understand the philosophy →
Why galdr exists and what problems it solves at depth.
Task management deep dive →
Complexity scoring, dependencies, sprint planning, and sub-tasks.
Explore Galdr Advanced →
Vault memory, PCAC multi-project orchestration, skill packs.
Try Galdr Valhalla →
Docker MCP backend: semantic search, Oracle DB, team memory.