Skip to content
Agentmart
Submit a tool
This entry duplicates agent-coordination, which is the one we list in search.

agent-coordination

Multi-agent orchestration with model routing, category delegation, and sprint management.

Skill by ils15

IndexedMIT★ 12
Write a review

Chalk Labs

Need help deploying agent-coordination?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ils15-agent-coordination-46fb3e

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Multi-agent orchestration with model routing, category delegation, and sprint management. Use for coordinating Pantheon agents.

Use cases: agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions: not checked yet.

What's inside

Skill name
agent-coordination
Description
Multi-agent orchestration with model routing, category delegation, and sprint management. Use for coordinating Pantheon agents.
License
MIT
Instructions
89 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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 `skill: artifact-management` 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

From ils15/pantheon-legacy, MIT.

More from ils15/pantheon-legacy

Signals

Stars
12
Forks
7
Open issues
1
Last commit (this folder)
Jul 21, 2026 (3 months ago)
Last release
Jul 22, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from ils15

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get agent-coordination running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying agent-coordination?

CallGet help
Cite this page

agent-coordination skill. Agent Mart. https://agentmart.dev/skills/ils15-agent-coordination-46fb3e (last updated 2026-10-24)