| name | agent-coordination |
| description | Multi-agent orchestration with model routing, category delegation, and sprint management. Use for coordinating Pantheon agents. |
| context | fork |
| globs | [] |
| alwaysApply | false |
Agent Coordination
Master guide to orchestrating the multi-agent system. Includes category routing, model selection, and sprint management for rapid, TDD-driven feature development.
Agent Hierarchy
See AGENTS.md for the full agent table.
Category Routing
Route tasks to optimized agents based on category instead of specifying agents manually:
| Category | Agent | Use For |
|---|
| Deep | Athena, Hephaestus | Complex planning, AI pipelines |
| Quick | Talos, Apollo | Fast fixes, codebase search |
| Ultrabrain | Zeus | Multi-agent orchestration, model routing |
Sprint Workflow
1. User describes feature
2. @athena creates PLAN with phases and agents
3. User approves PLAN (GATE 1)
4. Zeus dispatches agents to phases (parallel when possible)
5. Each agent: TDD cycle → writes IMPL artifact
6. @themis reviews all phases (GATE 2)
7. User reviews Themis findings
8. If approved → user commits (GATE 3)
9. @mnemosyne updates memory bank
Parallel Execution Declaration
🔀 PARALLEL EXECUTION — Phase 2
Running simultaneously:
- @hermes → backend tests → .tmp/IMPL-phase2-hermes.md
- @aphrodite → frontend → .tmp/IMPL-phase2-aphrodite.md
- @demeter → migrations → .tmp/IMPL-phase2-demeter.md
Themis reviews all three after completion.
Artifact Protocol
All phase outputs go to .pantheon/memory-bank/.tmp/. See instructions/artifact-protocol.instructions.md for the complete protocol (who generates what, templates, lifecycle).
Safety Gates
| Gate | When | Why |
|---|
| GATE 1 | After PLAN | User confirms scope |
| GATE 2 | After Themis review | User sees changes |
| GATE 3 | Before git commit | User controls history |
Model Selection
Model routing is handled by Prometheus and the platform configuration. Zeus delegates model selection to the tier system (fast / default / coding / premium).
- Deep tasks → High-quality models (Claude, GPT-4)
- Quick tasks → Fast/cheap models (Haiku, 4o-mini)
- Visual tasks → Multimodal models (GPT-4V, Claude Vision)
- Cost optimization → Route to cheapest model that meets quality bar
Anti-Patterns
- ❌ Zeus doing implementation work (orchestrates, doesn't code)
- ❌ Skipping TDD cycle (RED → GREEN → REFACTOR)
- ❌ Auto-committing without user approval
- ❌ Parallel phases with dependencies (order matters)
- ❌ Ignoring Themis CRITICAL findings
