Agent Skills: /fleet

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UncategorizedID: rysweet/amplihack/fleet

Install this agent skill to your local

pnpm dlx add-skill https://github.com/rysweet/amplihack/tree/HEAD/.claude/skills/fleet

Skill Files

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.claude/skills/fleet/SKILL.md

Skill Metadata

Name
fleet
Description
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/fleet

Fleet orchestration — manage coding agents (Claude Code, Copilot, Amplifier) running across multiple Azure VMs via azlin.

Invoke as /fleet <command> or just describe what you want and Claude will pick the right command.

All Commands

Status & Monitoring

| Command | What it does | |---------|-------------| | fleet status | Quick text overview of all VMs and sessions | | fleet scout | Discover, adopt, dry-run reason, show report | | fleet snapshot | Point-in-time capture of all managed sessions | | fleet watch <vm> <session> | Live snapshot of a single session | | fleet observe <vm> | Observe sessions with pattern classification | | fleet tui | Interactive Textual TUI dashboard |

Admiral Control

| Command | What it does | |---------|-------------| | fleet advance | LIVE — reason and execute actions on sessions | | fleet dry-run | Show what the admiral would do (no action) | | fleet run-once | Single PERCEIVE->REASON->ACT cycle | | fleet start | Run autonomous admiral loop |

Session Management

| Command | What it does | |---------|-------------| | fleet adopt <vm> | Bring existing tmux sessions under management | | fleet auth <vm> | Propagate auth tokens (GitHub, Azure, Claude) |

Task Management

| Command | What it does | |---------|-------------| | fleet add-task "prompt" | Queue work for the fleet | | fleet queue | Show task queue | | fleet dashboard | Project-level tracking | | fleet report | Generate fleet status report |

Projects & Knowledge

| Command | What it does | |---------|-------------| | fleet project add/list/remove | Manage fleet projects | | fleet project add-issue <proj> <num> | Track a GitHub issue as a project objective | | fleet project track-issue <proj> | Sync objectives from GitHub issues by label | | fleet graph | Fleet knowledge graph summary |

Co-Pilot

| Command | What it does | |---------|-------------| | fleet copilot-status | Show copilot lock/goal state | | fleet copilot-log | Show copilot decision history |

Quick Reference

| User says | Command | |-----------|---------| | "What are my agents doing?" | fleet scout | | "Show me the fleet" | fleet status | | "Send next steps to all sessions" | fleet advance | | "Advance without confirmation" | fleet advance --force | | "Watch what dev/cybergym is doing" | fleet watch dev cybergym | | "Add auth to the new VM" | fleet auth <vm> | | "Queue this task for the fleet" | fleet add-task "prompt" | | "Track issue #42 for myapp" | fleet project add-issue myapp 42 | | "Sync objectives from GitHub" | fleet project track-issue myapp | | "Open the dashboard" | fleet tui |

Key Options

fleet scout   [--session vm:session] [--vm VM] [--skip-adopt] [--incremental] [--save PATH]
fleet advance [--session vm:session] [--vm VM] [--force] [--save PATH]
fleet dry-run [--vm VM ...] [--backend auto|anthropic|copilot]
fleet adopt   <vm> [--sessions s1 s2]
fleet watch   <vm> <session> [--lines 30]
fleet auth    <vm> [--services github azure claude]
fleet add-task "prompt" [--priority high] [--repo URL]
fleet start   [--interval 300] [--max-cycles 10]

Environment

| Variable | Required for | |----------|-------------| | AZLIN_PATH | All commands (auto-detected if azlin on PATH) | | ANTHROPIC_API_KEY | scout, advance, dry-run, run-once, start |

Admiral Configuration

  • Model: Claude Opus 4.6 (claude-opus-4-6)
  • Max output tokens: 128,000 (reasoning JSON)
  • Context gathered per session: full tmux scrollback + first 50 & last 200 transcript messages
  • Safety: 57 dangerous-input patterns blocked (with safe allow-list), confidence thresholds (60% send_input, 80% restart), --confirm default on advance
  • Docs: docs/fleet-orchestration/ADMIRAL_REASONING.md

Status Icons

| Icon | Status | Meaning | |------|--------|---------| | [~] | thinking | Agent is actively processing | | [>] | running | Agent producing output | | [.] | idle | Agent at prompt, waiting for direction | | [X] | shell (dead agent) | No agent detected in this session | | [Z] | suspended | Agent backgrounded but alive | | [!] | error | Error detected in session output | | [+] | completed | Agent finished its task | | [?] | waiting input | Agent asked a question, awaiting response |

Performance & Architecture

  • Sequential VM polling: Session discovery from azlin list (no SSH). Pane capture via sequential SSH
  • Cached SSH output: Scout caches Phase 1 tmux captures for Phase 3 reasoning (no double-poll)
  • Incremental scout: --incremental flag skips unchanged sessions using ~/.amplihack/fleet/last_scout.json
  • Bastion tunnel reuse: Reuses existing SSH tunnels via get_existing_tunnels() instead of creating new ones
  • PR URL detection: Uses gh pr list on remote VM for reliable PR detection from git state
  • Health metrics in reasoning: fleet_health.py wired into SessionContext for admiral decisions
  • Unified status classifier: Single canonical classifier in _status.py (no dual TUI/CLI divergence)
  • Modular CLI: Commands split across _cli_session_ops.py, _cli_scout_advance.py, _cli_formatters.py (each under 400 LOC)
  • Project grouping: Scout report groups sessions by registered project with open objectives displayed

How to Run

Execute via Bash:

fleet <command> [options]

Presenting Results

After running fleet scout or fleet advance, present the output to the user as:

  1. Summary table — reformat the CLI output into a clean markdown table with columns: VM | Session | Status | Action | Conf | Summary

  2. Proposed inputs — for any send_input decisions, show what the admiral wants to send

  3. Follow-up commands — always end with the actionable next steps from the report:

    • fleet advance to send next command to all sessions
    • fleet advance --confirm to review each before executing
    • fleet advance --session vm:session to advance one specific session
    • fleet watch <vm> <session> to inspect specific sessions