LLM Council on Fireworks AI
dair-ai/dair-academy-plugins
Has several open-weight models answer a question, rank each other's anonymized answers, then lets a chairman model write the final response through Fireworks AI.
Run a one-shot or flat parallel batch of provider LLM subagents (headless cc-fleet subagent) that return a result.
$ npx skills add ethanhq/cc-fleet --skill subagent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ethanhq/cc-fleet subagent --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ethanhq/cc-fleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/subagent .claude/skills/subagent && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "subagent" agent skill from https://github.com/ethanhq/cc-fleet/tree/main/skills/subagent into .claude/skills/subagent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ethanhq/cc-fleet/tree/main/skills/subagentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ethanhq/cc-fleet --skill subagent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ethanhq/cc-fleet subagent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ethanhq/cc-fleet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/subagent .agents/skills/subagent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "subagent" agent skill from https://github.com/ethanhq/cc-fleet/tree/main/skills/subagent into .agents/skills/subagent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ethanhq/cc-fleet --skill subagent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ethanhq/cc-fleet subagent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ethanhq/cc-fleet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/subagent .cursor/skills/subagent && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "subagent" agent skill from https://github.com/ethanhq/cc-fleet/tree/main/skills/subagent into .cursor/skills/subagent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ethanhq/cc-fleet.git --path skills/subagent--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ethanhq/cc-fleet --skill subagent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ethanhq/cc-fleet subagent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ethanhq/cc-fleet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/subagent .gemini/skills/subagent && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "subagent" agent skill from https://github.com/ethanhq/cc-fleet/tree/main/skills/subagent into .gemini/skills/subagent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ethanhq/cc-fleet subagentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ethanhq/cc-fleet --skill subagent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ethanhq/cc-fleet.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/subagent .github/skills/subagent && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "subagent" agent skill from https://github.com/ethanhq/cc-fleet/tree/main/skills/subagent into .github/skills/subagent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ethanhq/cc-fleet --skill subagent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ethanhq/cc-fleet subagent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ethanhq/cc-fleet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/subagent .opencode/skills/subagent && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "subagent" agent skill from https://github.com/ethanhq/cc-fleet/tree/main/skills/subagent into .opencode/skills/subagent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
subagentRun a one-shot or flat parallel batch of provider LLM subagents (headless cc-fleet subagent) that return a result.
Subagent is an agent skill from ethanhq/cc-fleet. Run a one-shot or flat parallel batch of provider LLM subagents (headless cc-fleet subagent) that return a result. Use when fanning out N independent tasks, doing bulk per-file work, or calling a specialized provider model (DeepSeek / GLM / Kimi / Qwen / MiniMax). NOT a long-lived collaborator you message back and forth (that is /cc-fleet:team); NOT a multi-phase pipeline with dependencies or resume (that is /cc-fleet:workflow); NOT trivial work the main session should just do.
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Subagents. It works with DeepSeek, Kimi, MiniMax and Qwen. The repository describes itself as: 🚢 Run Claude Code's ⚙️ Dynamic Workflows, 👥 Agent Teams & ⚡ Subagents on any third-party model — DeepSeek · GLM · Kimi · Qwen … or your Codex subscription. No Anthropic…. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit bb1dff1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
claudejqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Subagent loads about 4.3k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 2,107 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ethanhq/cc-fleet at commit bb1dff1, republished under its Apache-2.0 licence (© ethanhq). 2,107 words, ~4,333 tokens.
.claude/skills/subagent/SKILL.md (or your agent's skills folder).Wrong lane? A long-lived collaborator you message back and forth → /cc-fleet:team; a multi-phase pipeline with dependencies or resume → /cc-fleet:workflow; 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.
cc-fleet subagent runs a provider model headless and returns the result directly on Bash stdout — no tmux pane, no TeamCreate/SendMessage/TeamDelete. The analog of the native Agent/Task tool, but the model can be a provider id. It reuses the same provider selection and the same fingerprint self-heal flow as spawn (cc-fleet-shared/troubleshooting.md). It's the lightweight synchronous branch.
--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 (fable / 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>" --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" --jsonThe 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.
Session grouping — no flag needed by default. cc-fleet subagent auto-detects the parent Claude session (fail-closed: an unvalidatable registry shows (no session), never a guess). The one exception: inside a known team, pass --lead-session-id (the team's leadSessionId from ~/.claude/teams/<team>/config.json) to force the job under that team's session — an explicit flag always wins.
# Optional explicit override, with a known team:
lead_session_id=$(jq -r '.leadSessionId // empty' "$HOME/.claude/teams/<team>/config.json")
cc-fleet subagent --prompt "..." --lead-session-id "$lead_session_id" --jsonUseful flags (full list in cc-fleet-shared/cli-reference.md):
--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, run the sync call in a backgrounded Bash, or use --background (both 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 8 (cap the agentic tool loop). On fan-out, strongly consider passing these on every call.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 fingerprint.json is corrupt (a fresh install uses the bundled recipe, so this is rare). | Run the self-heal flow in cc-fleet-shared/troubleshooting.md, then retry. |
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 fall back to native Agent; 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, fall back to native Agent. |
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 Bash calls are independent and can fire in parallel; subagent is
# lock-free, so they don't queue behind each other.
cc-fleet subagent glm --prompt "Summarize docs/a.md" --json
cc-fleet subagent glm --prompt "Summarize docs/b.md" --json
cc-fleet subagent deepseek --prompt "Summarize docs/c.md" --json
# Each returns its own {ok, result, total_cost_usd}; aggregate them. No
# TeamCreate / TeamDelete needed.A flat fan-out only — phases, dependencies, or dynamic orchestration over the results is /cc-fleet:workflow.
A finished subagent CAN wake you: a backgrounded Bash command's exit is delivered to the session as a task notification. Never spawn an agent (or loop yourself) to poll. Two shapes:
cc-fleet subagent … --json with the Bash tool's run_in_background=true, end your turn, and the harness wakes you when it exits — the envelope is the task output. Zero extra mechanism; the process is tied to your session.--background + a waited status — when the job must survive your session, or you want it grouped on the Agents Board:cc-fleet subagent --prompt "<long task>" --background --json
# → {"ok":true,"job_id":"<uuid>","status":"running","output_file":"…","pid":…}
# arm the notifier (backgrounded Bash — its exit wakes you):
cc-fleet subagent-status <job_id> --wait --timeout 5m --jsonWake-up dispatch on the exit code: 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 id an operator parked — surface it, never wait it out) · 124 still pending at --timeout (a heartbeat: re-arm; escalate only if the job is far past its own --timeout) · 130 interrupted. Always pass --timeout, and re-arm any still-pending wait after a session restart.
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 --session <lead_session_id> --json (immediate, skips pinned) — prefer it over a blanket subagent-gc --older-than 0s so you never wipe another session's records. Default gc only removes finished jobs older than 24h; running jobs are always kept; pinned records are user-owned — never force-remove them.TeamCreate / SendMessage / polling 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 a backgrounded Bash or --background (Long tasks above).subagent-status in a loop (or delegating an agent to watch a job) → arm subagent-status --wait in a backgrounded Bash once; its exit is the notification..error_code → every --json failure carries a code; switch on it (table above; spawn-side codes in cc-fleet-shared/troubleshooting.md).claude native leaves → drains your own subscription window; use a metered provider for breadth, claude only for one or two synthesis nodes.© ethanhq, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/subagent of ethanhq/cc-fleet.
Open the folder on GitHubat commit bb1dff1
Subagent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Subagent this skillethanhq/cc-fleet | 215 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| LLM Council on Fireworks AIdair-ai/dair-academy-plugins | 614 | — | ~5k | Automated safety check: Notes | MIT | |
| Update Ollama Cloud Modelsheypinchy/pinchy | 182 | — | ~3.9k | Automated safety check: Notes | AGPL-3.0 | |
| Vllm Daily PR Issue Trackerascend-ai-coding/awesome-ascend-skills | 174 | — | ~731 | Automated safety check: Pass | None | |
| Kimi Code DelegationCherryHQ/cherry-studio | 52k | 1 repos | ~504 | Automated safety check: Pass | AGPL-3.0 | |
| Model Architecture Diagram FinderBBuf/AI-Infra-Auto-Driven-SKILLS | 911 | — | ~1.2k | Automated safety check: Pass | None |
dair-ai/dair-academy-plugins
Has several open-weight models answer a question, rank each other's anonymized answers, then lets a chairman model write the final response through Fireworks AI.
heypinchy/pinchy
A skill your agent uses when a new Ollama Cloud model is announced or available (e.g.
ascend-ai-coding/awesome-ascend-skills
Track daily PRs and Issues from vllm-project/vllm and vllm-project/vllm-ascend, filter by model (DeepSeek/Qwen/GLM/MiniMax/Kimi) and tech topics (PD disaggregation, MTP, quantization, graph mode…
CherryHQ/cherry-studio
Delegates one bounded repository task to Kimi Code in non-interactive prompt mode and reads back the final result from its JSON event stream.
BBuf/AI-Infra-Auto-Driven-SKILLS
Looks up public original architecture diagrams for named LLM, vision-language, MoE, diffusion and OCR models and returns the image with its source attribution.
xz1220/open-dynamic-workflows
编写并运行 dynamic workflow:用 Claude Code 的 workflow 方言写一段简短的 JavaScript 脚本,再用 odw CLI 在宿主 agent 的上下文之外,把子任务扇出给 coding-agent CLI (Codex、Claude Code、Gemini、Qwen、Kimi 或自定义),后台跑完后只取回最终结果。
ethanhq/cc-fleet
Spawn long-lived provider LLM teammates in tmux panes that you message via the native agent-team tools — multi-turn, collaborative, watchable.
ethanhq/cc-fleet
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.
ethanhq/cc-fleet
Orchestrate a MULTI-PHASE, dependent, or resumable run over many cc-fleet PROVIDER subagents from a JS script, off the main context (cc-fleet workflow).
ethanhq/cc-fleet
Orchestrate a MULTI-PHASE, dependent, or resumable run over many provider subagents from a JS script, off the main context (cc-fleet workflow).
Categories
Run a one-shot or flat parallel batch of provider LLM subagents (headless cc-fleet subagent) that return a result. Subagent is an agent skill from ethanhq/cc-fleet. Run a one-shot or flat parallel batch of provider LLM subagents (headless cc-fleet subagent) that return a result.
Subagent fits situations like: fanning out N independent tasks; doing bulk per-file work; calling a specialized provider model (DeepSeek / GLM / Kimi / Qwen / MiniMax).
Run `npx skills add ethanhq/cc-fleet --skill subagent -a claude-code`. Or copy the skill folder (skills/subagent in ethanhq/cc-fleet) into .claude/skills/subagent in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ethanhq/cc-fleet --skill subagent -a codex`. Or copy the skill folder (skills/subagent in ethanhq/cc-fleet) into .agents/skills/subagent in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ethanhq/cc-fleet --skill subagent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/subagent, .gemini/skills/subagent, .github/skills/subagent and .opencode/skills/subagent in your project.
Going by SKILL.md and its folder, Subagent needs the command-line tools its instructions call (claude and jq).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Subagent is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Subagent: LLM Council on Fireworks AI (dair-ai/dair-academy-plugins, 614 stars), Update Ollama Cloud Models (heypinchy/pinchy, 182 stars), Vllm Daily PR Issue Tracker (ascend-ai-coding/awesome-ascend-skills, 174 stars) and Kimi Code Delegation (CherryHQ/cherry-studio, 52k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ethanhq (a GitHub user) maintains it in ethanhq/cc-fleet, which has 215 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 29, 2026.
Source: ethanhq/cc-fleet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.