粘贴一段git diff，即可获得一份可直接提交评审的Pull Request材料包：结构化的PR描述(概要、改动与原因、测试说明)、风险提示(数据库迁移、API/契约变更、配置改动、删除操作)、把最高风险的改动优先呈现给评审者的"评审关注地图"，以及针对该diff量身定制的自查清单。专为使用Claude Code、Codex等编码智能体开发并提交PR的开发者打造。仅根据你粘贴的diff生成内容，无法判断的地方标注[FILL IN]。无需API密钥，不访问仓库，不涉及个人数据。
在发布前检查 README、论文或报告中的声明是否仍与当前 CSV/JSON 结果一致，输出带证据的 SUPPORTED、STALE 或 UNSUPPORTED 闸门报告。
需求写了一半、规则没补齐、验收条件不清楚，就准备交给开发？ Requirement Ready AI 会从业务目标、功能范围、业务规则、验证、权限、UI、API、异常与边界条件等角度检查需求完整度，并补齐 User Story、Acceptance Criteria、QA Test Cases 与风险。 帮助你在进入开发前，先确认需求是否真的 Ready。
This Skill is built on practical expertise in AI file-workflow governance, source authority classification, copy-first editing, prompt-injection resistance, private-to-external dataflow review, and publish/delete/send boundary checks. It helps AI agents decide what can be read, copied, edited, deleted, zipped, or sent while keeping originals protected and untrusted file, web, or tool content from becoming instructions.
From a local ISSUE file to a verified, committed deliverable — with a fresh-subagent acceptance gate that catches wrong screenshots and leaked logic.
Before you write code, kill the causes of rework. A phase-gate skill that runs a pre-implementation diagnosis (clarify requirements, success criteria, non-goals, hidden risks) and sets up the dev environment (toolchain check, repo init, dependency/secret/config templates, DB/API contract, folder layout). Each gate must pass before moving on. Delivers a diagnosis report, a stack-selection doc, and a ready-to-build foundation to hand off to implementation.