fleet-chain
Chain orchestration — multi-step task dependencies across fleet nodes with automatic sequencing
Skill by supportersimulator
Chalk Labs
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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/supportersimulator-fleet-chain
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About
Use cases: productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
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 completingFrom supportersimulator/multi-fleet, MIT.
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fleet-liaison
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Interact with the fleet liaison agent — check status, read batched messages, escalate outbound, pause/resume monitoring
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fleet-send
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Send a message to another machine in the fleet — context, task, alert, or broadcast with 7-priority fallback delivery
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fleet-status
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Quick fleet health check — who's online, who's idle, what's everyone working on
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fleet-ack
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Delivery confirmation protocol — ACK tracking, retry on timeout, failure alerting
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- 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
- Source
- GitHubgithub-graphql
More from supportersimulator
- 0.440score
fleet-rebuttal
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Cross-machine rebuttal protocol — the 4-phase cycle where machines produce verdicts, critique each other, and converge on a chief decision
SkillDFreshness: D★ 2Claude Code +9 - 0.440score
fleet-race
supportersimulator
Competitive branch racing — 3 machines solve the same problem in isolated worktrees, then propose/rebut/converge to the strongest solution
SkillDFreshness: D★ 2Claude Code +9 - 0.440score
fleet-healer
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Invariance layer — spawns background agents that automatically heal broken fleet communication channels until all reach ideal state
SkillDFreshness: D★ 2Claude Code +9 - 0.436score
fleet-idle
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Productive idle protocol — automatic work discovery and suggestion when fleet nodes are idle
SkillDFreshness: D★ 2Claude Code +9 - 0.436score
fleet-ack
supportersimulator
Delivery confirmation protocol — ACK tracking, retry on timeout, failure alerting
SkillDFreshness: D★ 2Claude Code +9 - 0.436score
fleet-check
supportersimulator
Run the full 7-channel communication test — verifies every delivery path to a target node
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Cite this page
fleet-chain skill. Agent Mart. https://agentmart.dev/skills/supportersimulator-fleet-chain (last updated 2026-10-24)