القائمة
Multi-agent orchestration with model routing, category delegation, and sprint management. Use for coordinating Pantheon agents.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| 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 |
Master guide to orchestrating the multi-agent system. Includes category routing, model selection, and sprint management for rapid, TDD-driven feature development.
See AGENTS.md for the full agent table.
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 |
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 — 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.
All phase outputs go to .pantheon/memory-bank/.tmp/. See instructions/artifact-protocol.instructions.md for the complete protocol (who generates what, templates, lifecycle).
| 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 routing is handled by Prometheus and the platform configuration. Zeus delegates model selection to the tier system (fast / default / coding / premium).
Level 2 — Pantheon-native context compression with priority scoring, semantic summarization, downstream-aware compression, budget allocation, and cross-references
Auto-continue through todos with idle detection and safety gates. Use for multi-step orchestration.
Level 2 — Pantheon-native context compression with priority scoring, semantic summarization, downstream-aware compression, budget allocation, and cross-references
MCP security hardening — credential leakage prevention, input sanitization, and tool access control. Use for reviewing agent MCP configurations.
Multi-model routing with cost/quality selection and provider fallbacks. Use for AI gateway abstraction.
Improve prompts using best practices for clarity, specificity, and structure. Use for optimizing AI agent and bot instructions.