team
SkillSpawn long-lived provider LLM teammates in tmux panes that you message via the native agent-team tools — multi-turn, collaborative, watchable. Use for sustained parallel build/work ("spawn workers", N teammates on N files), or when you need a collaborator you message across turns. NOT a fire-and-for
Install
git clone https://github.com/ethanhq/cc-fleet.git ~/.claude/skills/teamWhat is team?
Spawn long-lived provider LLM teammates in tmux panes that you message via the native agent-team tools — multi-turn, collaborative, watchable. Use for sustained parallel build/work ("spawn workers", N teammates on N files), or when you need a collaborator you message across turns. NOT a fire-and-forget one-shot or a flat batch of independent prompts — that is /cc-fleet:subagent. NOT a scripted multi-phase run — that is /cc-fleet:workflow.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~111 tokens of context used while enabled, before you invoke anything
Documentation
README · ~9 min readteam — long-lived provider teammates
Run a third-party provider model as a real Claude Code teammate in a tmux pane: same tool stack and team coordination as a native teammate, LLM backend swapped to the provider. Your main session's own auth stays untouched.
Wrong lane? A fire-and-forget one-shot or flat batch → /cc-fleet:subagent; a scripted multi-phase run → /cc-fleet:workflow; full arbitration in cc-fleet-shared/routing.md.
When this skill cites cc-fleet-shared/<file>.md, OPEN it with the Read tool at ../cc-fleet-shared/<file>.md relative to this SKILL.md — the cited content is load-bearing, not optional background.
Execution environment — check before running anything. Confirm your shell tool executes on the host where cc-fleet is installed. In sandboxed or remote agent sessions, a tool named Bash may run on an isolated machine with a different filesystem, PATH, processes, and tmux server —
command not found, a healthy-lookingdoctorwhose leaves can't reach your files, or a wrong working directory should prompt you to verify whether you are in a sandbox shell, not conclude that cc-fleet is broken. If so, route commands through a host-executing bridge tool (for example, desktop-commander) and pass host paths for any files you reference; do not retry the same Bash call expecting different results. If no host-executing tool is available, stop and explain that cc-fleet must run on its installation host.
Precondition — agent-teams must be ON: check your own tool list for SendMessage / TeamCreate; absent → do NOT spawn (an unmessageable pane bills the provider with no work) — enablement + fallback in cc-fleet-shared/routing.md.
Core loop
Steps 1, 3, 6 are native tools; steps 2, 5, 6a are cc-fleet via Bash with --json.
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →hallmark
Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
20.1K stars
Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
14K stars
framework
Guide for the Atomic Agents Python framework — schemas, agents, tools, context providers, prompts, orchestration, and provider configuration. Use when code imports from `atomic_agents`, defines an `AtomicAgent`, `BaseTool`, or `BaseIOSchema`, or the user asks about multi-agent orchestration or LLM-p
6.1K stars