AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
You say the job; the playbook runs. 143 agent skills + 55 commands for Cursor, Claude Code, Codex, Gemini. React / Next.js / Supabase.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
You say the job. The playbook runs.
157 agent skills · 63 slash commands · 16 MCP servers · 12 Cursor skills · 6 subagents — for React / Next.js / Supabase, usable on almost any stack.
↑ what happens after install · follows your GitHub theme · not a hosted app
Why it exists — Coding agents skip the unglamorous parts: interview you first, write the failing test, watch production, refuse “done” with leftovers. These playbooks don’t skip.
Who it’s for — People shipping in Cursor, Claude Code, Codex CLI, or Gemini CLI. Tuned for React / Next.js / Supabase. Works on other stacks.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
You say the job. The playbook runs.
157 agent skills · 63 slash commands · 16 MCP servers · 12 Cursor skills · 6 subagents — for React / Next.js / Supabase, usable on almost any stack.
↑ what happens after install · follows your GitHub theme · not a hosted app
Why it exists — Coding agents skip the unglamorous parts: interview you first, write the failing test, watch production, refuse “done” with leftovers. These playbooks don’t skip.
Who it’s for — People shipping in Cursor, Claude Code, Codex CLI, or Gemini CLI. Tuned for React / Next.js / Supabase. Works on other stacks.查看完整 README ↗