Skill：idd skill

🤖 An automated setup kit for implementing loop engineering based on issue-driven development in your repository; since 2026.5

适用场景

招聘人事

适合角色

• 行政人事
• 全员适用

介绍

以下内容整理自开源仓库 `kurone-kito/idd-skill` 的 README / SKILL.md 摘要：

# ![IDD Skill — Issue-Driven Development Loop Engineering Kit](./banner.webp)

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](./LICENSE)
[![Linting](https://github.com/kurone-kito/idd-skill/actions/workflows/lint.yml/badge.svg)](https://github.com/kurone-kito/idd-skill/actions/workflows/lint.yml)
[![CodeRabbit](https://img.shields.io/badge/review-CodeRabbit-green?logo=coderabbit)](https://www.coderabbit.ai/)

🌐 Language: **English** | [日本語](./README.ja.md)

Turn AI coding from one-off prompts into a GitHub-native delivery loop
that keeps going until the issue is closed.

IDD Skill gives a repository a portable Issue-Driven Development
workflow: agents discover ready issues, claim ownership, implement in a
branch, open a PR, handle review feedback, wait for CI, merge under the
policy you select, and clean up. The whole loop ships as plain Markdown
instruction files that live in your repository — yours to inspect,
fork, and audit.

## Why IDD exists

A capable coding agent should finish work the way a strong teammate
does: visibly, verifiably, and all the way to done. Most AI coding
breaks down not at writing code but at everything around it:

- Two agents can pick the same issue.
- Review comments can be accepted but never fixed.
- CI can finish after the agent has already stopped watching.
- A PR can merge while fresh review activity is still arriving.
- The workflow rules can hide inside a vendor platform instead of your
  repository.

IDD turns those moving parts into one auditable GitHub-native loop.
Issue comments record claims, review snapshots, decisions, holds, and
cleanup markers — so any agent can resume any work without guessing.

## What you get

- **Collision-resistant parallel work** — claim and heartbeat markers
  make issue ownership visible without a central coordinator.
- **Fewer stalled PRs** — the loop keeps watching review comments, CI,
  and follow-up fixes after the pull request opens.
- **Portable rules, not a black box** — plain Markdown you can
  inspect, fork, and customize in your own repository.
- **Agent choice** — works across GitHub Copilot, Claude Code, OpenAI
  Codex CLI, OpenCode, Grok Build, Cursor CLI, and Antigravity CLI
  (formerly Gemini CLI);
  [review policy profiles](docs/idd-review-policy-profiles.md) let you
  swap the default Copilot advisory gate.
- **No service to operate** — no server, scheduler, or additional SaaS
  account; import the template files and start.

## Proven in production

IDD is not a demo. It is the workflow this repository has been built
with since May 2026:

- **3,200+ issues** turned into merged pull requests across private
  work repositories running IDD.
- **1,700+ pull requests** merged in this public repository alone,
  through multi-agent bursts of x4-6 pa

---

**说明**：内容由公开仓库整理，使用前请自行核对是否适合你的场景。

安装方式

1. 打开仓库：https://github.com/kurone-kito/idd-skill
2. 查找 SKILL.md 或 README 中的安装章节
3. 克隆或下载所需 Skill 子目录到本地 skills 路径（如 `.cursor/skills/` 或 `.claude/skills/`）
4. 重启 / 重载 Agent 客户端
5. 用一条真实任务验证 Skill 是否被正确加载

适用平台

• Cursor
• Claude
• Codex

打开详情 · 返回技巧库