Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
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Co-op Anything: point your AI agent at any single-player game and play it with friends (online and/or splitscreen!). MCP server and playbook to let you reverse engineer, fix, test, ship and share what it learns.
Translated🍟 Official McDonald's China MCP agent skill: orchestrates 35 atomic tools into 4 business flows — campaign push · collab watch · best-value ordering · group bill splitting. Prices are truly calculated with calculate-price, and orders must be confirmed a second time before placing. | McDonald's China MCP agent skill: campaigns, collab watch, best-value ordering, group bill splitting.
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Fast, cross-platform, real-time token usage tracker and cost monitor for Claude Code / Codex CLI / Antigravity CLI / Qwen Code / Cline / Zoo Code / Kilo Code / GitHub Copilot / OpenCode / Pi Agent / Piebald.
- analyzer
- claude-code
- codex
- usage
Claude Code marketplace for multi-agent collaboration — task splitter, output reconciler, adversarial debate, shared memory, acceptance gate. Composes with codex-delegate / gemini-delegate.
- agent-collaboration
- ai-agents
- claude-code
- claude-skills