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By athola
Delegate heavy code tasks to external LLMs like Gemini and Qwen for 1M+ token contexts, batch processing, and quota-managed execution, while orchestrating Claude agent teams via tmux panes for parallel implementation, multi-agent code review, and task dependency coordination.
npx claudepluginhub athola/claude-night-market --plugin conjureCoordinate Claude Code Agent Teams through filesystem-based protocol. Use
Delegate tasks to external LLM services (Gemini, Qwen) with quota, logging,
Gemini CLI delegation workflow implementing delegation-core for Google's
Qwen CLI delegation workflow implementing delegation-core for Alibaba's
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Sub-agent runner — runs agent definitions on Codex, Claude Code, Cursor CLI, or Gemini CLI from any host AI tool.
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
External LLM integration tools for Claude Code. Get second opinions from Codex (OpenAI) and Gemini (Google) on architecture, design, and code review.
Claude Code skill pack for Together AI (18 skills)
Multi-LLM integration for second opinions and task delegation
Spawn any third-party LLM provider with an Anthropic-compatible API (e.g. DeepSeek, GLM, Kimi, Qwen, MiniMax) as real Claude Code agent-team teammates or one-shot subagents — driven exactly like native teammates. Your main session's own auth is untouched (OAuth subscription or API key, either works); vendor workers bill the vendor API key via apiKeyHelper (the key never enters env/argv/history). Requires the `cc-fleet` binary on PATH, installed separately.
Autonomous agent orchestrator for full development lifecycles with zero human input, session budget management, and crash recovery
Documentation review, cleanup, and generation with AI slop detection, style learning, and human-quality writing enforcement
Media generation capabilities for terminal recordings (VHS), browser recordings (Playwright), GIF processing, and media composition
Git and workspace operations for active development workflows - commit messages, PR prep, documentation updates, and version management
Modern Python development suite - testing, performance optimization, async patterns, and packaging
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