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Fleet

  • 55 installs
  • 70 repo stars
  • Updated July 26, 2026
  • rysweet/amplihack

Helps with ai & agent building tasks.

About

fleet is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • fleet
  • AI & Agent Building
  • AI-coding skill

Fleet by the numbers

  • 55 all-time installs (skills.sh)
  • +1 installs in the week ending Jul 26, 2026 (Skillselion tracking)
  • Ranked #6,703 of 16,556 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/rysweet/amplihack --skill fleet

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Listed on Skillselion
Installs55
repo stars70
Last updatedJuly 26, 2026
Repositoryrysweet/amplihack

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

/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

CommandWhat it does
fleet statusQuick text overview of all VMs and sessions
fleet scoutDiscover, adopt, dry-run reason, show report
fleet snapshotPoint-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 tuiInteractive Textual TUI dashboard

Admiral Control

CommandWhat it does
fleet advanceLIVE — reason and execute actions on sessions
fleet dry-runShow what the admiral would do (no action)
fleet run-onceSingle PERCEIVE->REASON->ACT cycle
fleet startRun autonomous admiral loop

Session Management

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

Task Management

CommandWhat it does
fleet add-task "prompt"Queue work for the fleet
fleet queueShow task queue
fleet dashboardProject-level tracking
fleet reportGenerate fleet status report

Projects & Knowledge

CommandWhat it does
fleet project add/list/removeManage 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 graphFleet knowledge graph summary

Co-Pilot

CommandWhat it does
fleet copilot-statusShow copilot lock/goal state
fleet copilot-logShow copilot decision history

Quick Reference

User saysCommand
"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

VariableRequired for
AZLIN_PATHAll commands (auto-detected if azlin on PATH)
ANTHROPIC_API_KEYscout, 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

IconStatusMeaning
[~]thinkingAgent is actively processing
[>]runningAgent producing output
[.]idleAgent at prompt, waiting for direction
[X]shell (dead agent)No agent detected in this session
[Z]suspendedAgent backgrounded but alive
[!]errorError detected in session output
[+]completedAgent finished its task
[?]waiting inputAgent 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

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