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ethanhqethanhqCommunity·3 Agent Skills Included

cc-fleet

Run third-party models as Claude Code workers and teams

Connects third-party models like DeepSeek, GLM, Kimi, and Qwen to Claude Code as real workers. Runs parallel subagents, long-lived teammates in tmux panes, and multi-phase JavaScript workflows from one CLI. Eliminates manual API juggling and keeps provider keys out of environment variables and shell history. Tracks every job, cost, and result on a single live board.
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npx skills add ethanhq/cc-fleet --all -g -y
Available:

Tells the coding agent how cc-fleet's four execution lanes work, which safety invariants to respect, and how to build, test, and edit the skills in this repository.

All Skills in This Repository (3)

Pure Emerald Level Indicators
📦 In Repo
ethanhqethanhq

workflow

Orchestrate multi-phase task executions across cc-fleet subagents with JavaScript scripts.

Community
Advanced
📦 In Repo
ethanhqethanhq

subagent

Execute one-shot or batch tasks using provider subagents.

Community
Intermediate
📦 In Repo
ethanhqethanhq

team

Manage long-lived provider LLM teammates within Claude Code workflows.

Community
Advanced

Frequently Asked Questions

FAQPage Schema
How to install cc-fleet?▼

Run `npx skills add ethanhq/cc-fleet --all -g -y` in your terminal to install all skills in this suite globally.

What does cc-fleet do?▼

It lets third-party models like DeepSeek, GLM, Kimi, and Qwen run as real Claude Code workers, so you can delegate tasks to them as subagents, teammates, or workflow steps.

Do I need a Claude subscription to use cc-fleet?▼

No. You need the Claude Code CLI installed, but provider workers run on their own API keys, and `ccf run` starts a full session on any configured provider.

Are my provider API keys safe with cc-fleet?▼

Yes. Keys are resolved through a helper at runtime and never appear in environment variables, command arguments, logs, or shell history.

Can I mix different models in one workflow?▼

Yes. A single workflow script can assign each step to a different provider, run them in parallel, and cap total spend in dollars or tokens.

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