Manage long-lived provider LLM teammates within Claude Code workflows.
npx skills add https://github.com/ethanhq/cc-fleet --skill team-ethanhq
Please help me install this Agent Skill. Skill: team Source: https://github.com/ethanhq/cc-fleet/tree/main/skills/team Command: npx skills add https://github.com/ethanhq/cc-fleet --skill team-ethanhq
This Skill addresses the challenge of managing long-term collaboration with third-party LLM providers, enabling seamless integration into Claude Code's agent teams.
Use the 'team' skill to spawn a long-lived LLM teammate for a sustained task. Example: /team spawn --as worker-1 --model strong
High-intent search queries and answers about installing and using this skill.
You can orchestrate long-lived LLM teammates by using the team skill to spawn provider LLM instances that persist across turns, facilitating multi-turn discussions and sustained parallel work within Claude Code workflows. Use the spawn command to assign tasks and collect results.
Yes, you can integrate any Anthropic- or OpenAI-compatible model, including your Codex subscription, as a long-lived teammate without requiring a Claude subscription. The skill requires Claude Code for orchestration but uses provider-specific LLM APIs for backend execution.
The best way to manage task assignment and resource cleanup is using the team skill's lifecycle management, which handles spawning long-lived provider LLM teammates, collecting their results, and executing resource cleanup automatically within Claude Code workflows.
To spawn multiple LLM teammates for simultaneous file work, use the spawn command with distinct identifiers like `--as worker-1` and specify the model strength. This enables sustained parallel build scenarios where teammates work on different files concurrently.
Limitations include the requirement for Claude Code to orchestrate the provider LLM APIs and the need for provider-specific APIs for backend execution. Resource cleanup must be managed properly to avoid lingering instances after sustained multi-turn collaboration ends.
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