Fan out a one-shot or flat parallel batch of cc-fleet PROVIDER subagents (headless `cc-fleet subagent`) that return a result — DeepSeek / GLM / Kimi / Qwen / MiniMax, or a Codex/Claude subscription. Trigger ONLY to delegate a task to a cc-fleet provider worker (parallel research, bulk per-file work, a specialized model). Do NOT trigger for a multi-phase pipeline (that is /cc-fleet:workflow), for ordinary local shell/coding, or for editing or researching cc-fleet's own code.
npx skills add https://github.com/ethanhq/cc-fleet --skill subagent
Wrong lane? A multi-phase pipeline with dependencies or resume → /cc-fleet:workflow.
When this skill cites cc-fleet-shared/<file>.md, read ../cc-fleet-shared/<file>.md relative to this SKILL.md (load-bearing, not optional background).
> Execution environment — check before running anything. Confirm this shell runs on the machine where cc-fleet is installed. In a remote or split-host agent session the shell can run on a separate machine with its own filesystem and PATH, so cc-fleet: command not found or a wrong working directory can indicate that the shell is running on the wrong machine, not that cc-fleet is broken — route commands through a host-executing bridge and pass host paths for the files you reference, and stop cleanly if no such bridge exists. (Different-machine case only; for the same-machine codex sandbox — a clean doctor but network-blocked leaves — see Approval & sandbox below.)
cc-fleet subagent runs a provider model headless and returns the result directly on your shell's stdout — no tmux pane, no team, no locks. A one-shot provider agent whose model can be a provider id. It reuses the same provider selection and fingerprint gate as the rest of cc-fleet. It's the lightweight synchronous branch.
Preflight (first fan-out per session). Run cc-fleet doctor --json once and read the per-check results. The ONLY hard stops are the claude binary check and the fingerprint check (the worker engine) — if either fails, tell the user to install or fix Claude Code, and stop. Do not stop on the "all configured providers' keys reachable" check: it aggregates every enabled provider, so one unrelated provider — especially a daemon-backed codex / openai-*, whose loopback proxy is only up during a spawn — flips ok:false / exit 1 while your target provider is fine. Provider API keys are configured separately in cc-fleet, so a provider model needs the claude binary but not a Claude subscription. To check the provider you'll actually use, run cc-fleet models <provider> --json (PROVIDER_UNKNOWN ⇒ not configured); that confirms it's configured + enabled, not that it's reachable — the run itself proves reachability.
cc-fleet spawns a network-using child (claude -p → the provider API) and writes a job record (plus a file when you use --prompt-file or redirect --json to one). On a codex that is not in full-bypass mode, expect two things — neither is a cc-fleet bug, so set the user's expectation rather than reporting a failure:
cc-fleet … shell call; a fan-out or chunked wait re-prompts. Say so up front — approving is expected; to reduce the prompts the user can lower the approval friction (--ask-for-approval, a less-restrictive mode) or run codex bypassed.claude -p child cannot reach the provider and the leaf fails looking like PROVIDER_UNREACHABLE / a timeout — the real cause is the sandbox, not the provider. Heuristic: cc-fleet doctor is locally clean but every provider leaf is "unreachable" → the sandbox is blocking egress. Fix it by letting that command reach the network — approve the escalation codex offers, have the user enable network for the workspace-write sandbox, or run codex bypassed if they accept that.--timeout caps wall-clock; the return value carries usage / total_cost_usd; it stops when done (nothing to forget to tear down).cc-fleet default --json: if it returns a provider (source "configured" or "auto"), use it and STATE it in your kickoff line (e.g. "using glm (default)").cc-fleet list --json (name + default_model + the one-line note in cc-fleet-shared/providers.md). After they pick, run cc-fleet default <chosen> so you never ask again. (cc-fleet default <p> is user-layer; only run it to FILL a blank default, never with --force.)Model tier within a provider: fan-out / leaf work → omit --model (or --model fast); judge / synthesis / sustained work → --model strong. The provider's roster decides the actual model — see cc-fleet-shared/providers.md.
The reserved native leaf — claude. cc-fleet subagent claude … runs the official claude CLI on the user's OWN Claude Code login (their subscription OAuth or whatever they're logged in as) — no providers.toml row, no profile, no key material. A NAMED deliberate choice, never the auto-default (cc-fleet default claude errors; it never auto-resolves). --model takes a literal id (opus / sonnet / a full id) — the slot keywords default/strong/fast are rejected (no roster); omitted = claude's login default, which is typically the most expensive tier, so naming a model is usually wise. Profiles apply unchanged. The leaf spends the lead session's own subscription window — use it for one or two synthesis / judgement nodes, never a wide fan-out.
cc-fleet subagent claude --model opus --prompt "<synthesis over the gathered notes>" --json
--json)cc-fleet subagent --prompt "<task>" --label "codex/<cwd-basename>/<short>" --json # no provider arg → default provider
cc-fleet subagent deepseek --model strong \
--prompt "Analyze the worst-case complexity of quicksort in src/sort.go; give a triggering input" \
--label "codex/cc-fleet/quicksort" --json
Label every job. A codex-launched job is grouped on the Agents Board under your Codex launcher (a codex <thread> header, not (no session)); a --label "codex/<cwd-basename>/<short>" still helps you tell your jobs apart within that group.
Expected-large output → redirect --json to a file and read the file, sidestepping any shell-output cap: cc-fleet subagent … --json > out.json, then read out.json.
The provider arg is optional — with no provider, cc-fleet uses the default. NO_DEFAULT_PROVIDER / DEFAULT_PROVIDER_DISABLED / DEFAULT_PROVIDER_UNKNOWN in the failure envelope mean there is no usable default — apply the provider ask ladder above.
Useful flags (full list: cc-fleet subagent --help):
--label "<short-alias>" (e.g. --label sort-complexity). The Agents Board shows the label instead of the opaque job id — pass one on every launch, like a teammate name. Display-only metadata; capped at 256 bytes.--prompt-file <path> (read from file, piped via stdin, kept out of argv / ps). Use it once a single prompt approaches ~128 KiB (MAX_ARG_STRLEN, the per-argument cap — not the ~2 MB total ARG_MAX). --prompt-file - reads stdin.--timeout 600s (default 300s). For tasks that may exceed the timeout, raise --timeout or use --background (below). Note: a provider that's down on auth (401) or quota (429) makes claude retry ~180s before surfacing KEY_INVALID / INSUFFICIENT_BALANCE, so keep --timeout ≥ ~200s (the 300s default is fine) — a shorter timeout reports those as SUBAGENT_TIMEOUT instead. --probe does not catch a bad key (the models endpoint may not 401 it).--max-budget-usd 0.5 (cap spend) and --max-turns (cap the agentic tool loop). On fan-out, strongly consider a budget cap on every call. Size --max-turns generously up front — a read-heavy / multi-file / git-inspecting task spends ~1 turn per file read or command, so give it 30–50 (or omit it); a small cap (8/10) starves it and the leaf fails SUBAGENT_MAX_TURNS mid-task (budget ~$0.3–0.9 for such a leaf).slim is the DEFAULT; read-only research → --profile slim-ro; --profile full ONLY to compare against a full session or diagnose a suspected slim regression. --tools REPLACES the whole tool set, never appends. Write prescriptive prompts ("Run cmd", "Use the Read tool on X"), not "look at" / "check" — weak provider models skip tools on weak imperatives under any profile. Tool whitelists / --skills / --mcp defaults / downgrade behavior: cc-fleet-shared/providers.md.--probe to opt in): the inner claude -p call is itself the authoritative reachability + auth test. On a big fan-out, run one shared cc-fleet doctor / probe up front rather than paying 3s × N.--prompt and --prompt-file are mutually exclusive — pass exactly one (else error_code=SUBAGENT_BAD_ARGS, no claude launched).{"ok":true,"result":"<answer text>","provider":"deepseek","model":"deepseek-reasoner",
"duration_ms":12044,"usage":{"input_tokens":812,"output_tokens":1530},
"total_cost_usd":0.0031,"session_id":"…"}
→ Take .result as this subagent's output and hand it back / continue orchestrating. model is the model the provider actually billed (routing evidence). Keep .session_id if you intend a multi-turn follow-up (below).
error_code (do not parse prose)error_msg is a canonical string only; never matched on. Dispatch on error_code:
| error_code | Meaning | What you do |
|---|---|---|
| SUBAGENT_BAD_ARGS | Missing/both --prompt & --prompt-file. | Fix the call (exactly one). |
| NO_DEFAULT_PROVIDER | No provider arg and no default configured. | Apply the provider ask ladder. |
| DEFAULT_PROVIDER_DISABLED | The default provider is disabled. | Apply the provider ask ladder; or the user re-enables via cc-fleet edit <provider> --enable. |
| DEFAULT_PROVIDER_UNKNOWN | The default names a provider that no longer exists. | Apply the provider ask ladder; the user re-pins with cc-fleet default <p>. |
| DEFAULT_PROVIDER_RESERVED | default_provider is hand-set to the reserved claude (explicit-only). | The user runs cc-fleet default --unset or re-pins a real provider; don't retry. |
| CONFIG_LOAD_FAILED | providers.toml failed to load/validate. | cc-fleet doctor; surface to the user — don't retry. |
| UNKNOWN_PROVIDER / PROVIDER_DISABLED | Provider not configured / disabled. | Tell the user to cc-fleet add / cc-fleet edit <provider> --enable. |
| PROVIDER_RESERVED | A providers.toml row is named claude (reserved for the native leaf). | Tell the user to rename or cc-fleet remove claude; spawn still uses the row meanwhile. |
| FINGERPRINT_MISSING | An existing ~/.config/cc-fleet/fingerprint.json is corrupt (a fresh install uses the bundled recipe, so this is rare). | cc-fleet doctor --json confirms. Tell the user to remove ~/.config/cc-fleet/fingerprint.json — cc-fleet then falls back to the runtime-usable bundled recipe — and retry. (Re-snapshotting a custom recipe needs cc-fleet refresh-fingerprint from a Claude Code session; it is not available from Codex.) |
| FINGERPRINT_STALE | No claude binary found anywhere (not a missing recipe). | Tell the user to install/fix Claude Code or PATH; the self-heal flow can't help. cc-fleet doctor confirms. |
| KEY_INVALID | Provider 401/403. | Have the user rotate the key; do not retry blindly. |
| INSUFFICIENT_BALANCE | Out of balance / quota (429/402 + balance signature). | Retry can't help — propose the next provider (provider ask ladder, step 4) or handle it in the main session yourself; tell the user they're out of credit. |
| RATE_LIMITED | Provider 429. | Wait briefly, retry once, or propose a switch (provider ask ladder, step 4). |
| MODEL_NOT_FOUND | Model name rejected (400). | cc-fleet refresh <provider> then retry, or drop --model to use the default. |
| PROVIDER_UNREACHABLE | Transport failure (only with --probe). | cc-fleet doctor; if urgent, handle it in the main session yourself. |
| SUBAGENT_TIMEOUT | Exceeded --timeout. | Real long task → raise --timeout (or use --background) and retry; suspected hang → switch provider / fall back (with user confirmation). |
| PROVIDER_API_ERROR | Other provider failure (5xx / overloaded). | Retry once or propose a switch. |
| CODEX_PROXY_UNAVAILABLE | The codex conversion daemon could not start (no login, or the loopback port is held). | Tell the user: cc-fleet codex login, or free / change the port (cc-fleet codex add --port <n>). |
| CODEX_CLOUDFLARE_BLOCKED | The ChatGPT backend's edge blocked this IP/client — not a key problem. | Switch network/IP or retry later; don't rotate credentials. |
| SUBAGENT_MAX_TURNS | claude hit the --max-turns cap without finishing (the spent cost is surfaced — not silently $0). | Raise --max-turns (or omit it) and retry — a read-heavy / multi-file task needs ~1 turn per file read or command; a genuinely long task can use --background. |
| SUBAGENT_FAILED | claude exited with no parseable result (or budget exhaustion). For a claude native leaf on a logged-out machine, this is the login failure — the error preview names it (no dedicated code). | Inspect; retry or switch provider. A logged-out native leaf → tell the user to log in to Claude Code interactively. |
| SUBAGENT_OUTPUT_TOO_LARGE | The child's stdout/stderr exceeded the byte cap; the run was killed. | Have it write its output to a file and return a short answer (or narrow the ask) — a blind retry overflows again. |
| SUBAGENT_STOPPED | An operator stopped the job (workflow stop / a leaf stop) — terminal, NOT a failure. | Never auto-retry; surface it. |
# These calls are independent; subagent is lock-free, so running them
# concurrently won't queue them behind a shared lock.
cc-fleet subagent glm --prompt "Summarize docs/a.md" --label "codex/docs/a" --json
cc-fleet subagent glm --prompt "Summarize docs/b.md" --label "codex/docs/b" --json
cc-fleet subagent deepseek --prompt "Summarize docs/c.md" --label "codex/docs/c" --json
# Each returns its own {ok, result, total_cost_usd}; aggregate them.
A flat fan-out only — phases, dependencies, or dynamic orchestration over the results is /cc-fleet:workflow.
--timeout, or --background + pollcc-fleet subagent is synchronous — your shell tool blocks until it returns the envelope; set --timeout for long tasks (default 300s; raise it for research / many-turn work). If a job must outlive the call (or you want it on the Agents Board), launch it detached and poll yourself:
cc-fleet subagent --prompt "<long task>" --label "codex/<cwd-basename>/<short>" --background --json
# → {"ok":true,"job_id":"<uuid>","status":"running","output_file":"…","pid":…}
cc-fleet subagent-status <job_id> --wait --timeout 120s --json
subagent-status --wait blocks up to --timeout, then exits 124 while the job is still pending — re-issue it in chunks until it settles (codex has no background-task wake). If the codex shell yields with "Process running with session id …", that backgrounded --wait is STILL the live wait — do NOT start a second one; let it return (size each --timeout shorter than your shell's foreground window so it returns cleanly). Exit dispatch: 0 done (envelope has .result) · 1 failed OR stopped — check .status first: stopped is an operator stop, never auto-retry; failed → dispatch on .error_code · 3 held (a workflow-leaf an operator parked — surface it, never wait it out) · 124 still pending (re-issue) · 130 interrupted. Never spawn an agent to poll.
cc-fleet subagent-gc --json prunes finished job files.
--resumeContinue a prior subagent session (stateful, but not long-lived between turns — each turn is a fresh claude -p --resume):
cc-fleet subagent --resume <session_id> --prompt "<follow-up>" --json
<session_id> is the .session_id from the previous turn's envelope. A default-profile (slim) resume is silent; an explicitly passed --profile over --resume warns on stderr — it swaps the system prompt mid-session. Keep the profile constant across a session's turns.
A sync subagent has nothing to tear down; "cleanup" only concerns --background job records on the Agents Board. The rules:
.session_id BEFORE pruning if a follow-up is likely. gc deletes cc-fleet's job record (which holds the envelope with the id) but never Claude's transcript — so --resume works after gc *iff* you kept the id, and keeping the record without the id buys you nothing.cc-fleet subagent-gc --json removes finished jobs older than 24h; running jobs are always kept; pinned records are user-owned — never force-remove them. --older-than 0s clears all finished jobs now, but it is machine-wide — codex jobs have no lead session to scope to, so it also sweeps other sessions' finished records; prefer the 24h default and identify your own jobs by their --label.--resume is for a short follow-up, not a long conversation.cc-fleet ps --check for a subagent → unnecessary; the result is on stdout.--prompt (hits MAX_ARG_STRLEN ~128 KiB) → use --prompt-file.--timeout 300s caps it, but tune per task on fan-out, and run genuinely long work via --background (Long tasks above).subagent-status --wait --timeout 120s --json yourself in chunks (codex has no background-task wake)..error_code → every --json failure carries a code; switch on it (table above).claude native leaves → drains your own subscription window; use a metered provider for breadth, claude only for one or two synthesis nodes.Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Replace with description of the skill and when Claude should use it.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Take ethanhq/cc-fleet-subagent from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.