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fleet-chain

Chain orchestration — multi-step task dependencies across fleet nodes with automatic sequencing

Skill by supportersimulator

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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.

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About

Chain orchestration — multi-step task dependencies across fleet nodes with automatic sequencing

Use cases: productivity

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/fleet-chain

What's inside

Skill name
fleet-chain
Description
Chain orchestration — multi-step task dependencies across fleet nodes with automatic sequencing
License
MIT
Instructions
84 lines in SKILL.md · view on GitHub

Before installing

  • Instructions call the network

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Fleet Chain Orchestration

Chains are ordered sequences of tasks dispatched across fleet nodes. Each step runs only after the previous step succeeds. If any step fails, the chain halts.

## How It Works

1. Submit a chain with an ordered array of steps (node + task pairs)
2. Daemon registers the chain and dispatches step 0
3. On step completion, the daemon advances to the next step
4. Remote steps send completion back to the originating node via NATS
5. Chain status is queryable at any time

## HTTP Endpoints

### POST /chain — Start a chain

```bash
curl -sf -X POST http://127.0.0.1:8855/chain \
  -H "Content-Type: application/json" \
  -d '{
    "chain_id": "deploy-v2",
    "steps": [
      {"node": "mac1", "task": "Run test suite", "timeout_s": 300},
      {"node": "mac2", "task": "Build artifacts", "timeout_s": 600},
      {"node": "mac1", "task": "Deploy to staging", "timeout_s": 120}
    ]
  }'
```

Response: `{"chain_id": "deploy-v2", "status": "running", "steps": 3}`

### GET /chains — List all chains

```bash
curl -sf http://127.0.0.1:8855/chains | python3 -m json.tool
```

Returns: `{"chains": {"deploy-v2": {...}}, "count": 1}`

### GET /chain/<id> — Get chain status

```bash
curl -sf http://127.0.0.1:8855/chain/deploy-v2 | python3 -m json.tool
```

Returns: `{"chain_id": "...", "status": "running|done|failed", "current": 1, "total": 3, "steps": [...], "results": [...]}`

## Step Format

Each step in the `steps` array:

| Field | Required | Default | Description |
|-------|----------|---------|-------------|
| `node` | No | self | Target node ID (e.g. `mac2`) |
| `task` | Yes | — | Task prompt sent to the target |
| `timeout_s` | No | 300 | Max seconds for this step |

## Chain Lifecycle

```
POST /chain → running → step 0 dispatched → step 0 done → step 1 dispatched → ... → done
                                           → step N fails → chain status = "failed"
```

- **running** — currently executing a step
- **done** — all steps completed successfully
- **failed** — a step failed; chain halted at that step

## Configuration

Chains use the same task dispatch mechanism as `fleet-send` type=task. Each step is sent via `send_with_fallback` (8-priority channel cascade). Timeouts are per-step.

Env vars:
- `FLEET_ACK_TIMEOUT_S` — ACK timeout for chain step delivery (default 60s)
- `FLEET_ACK_MAX_RETRIES` — retry count before marking step as failed (default 3)

## When to Use

- Multi-node deployments requiring ordered steps
- Build-test-deploy pipelines across machines
- Sequential data processing where each step depends on the prior result
- Any workflow where step N depends on step N-1 completing

From supportersimulator/multi-fleet, MIT.

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Last commit (this folder)
Apr 5, 2026 (7 months ago)
Last release
Apr 18, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

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

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fleet-chain skill. Agent Mart. https://agentmart.dev/skills/supportersimulator-fleet-chain (last updated 2026-10-24)