·spec-checklist
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spec-checklist

Use when 需要在当前 Spec Pack 中检查文档是否存在待澄清/待确认/TBD/TODO 等高价值不确定点,并用“一次只问一个问题→立刻回写文档→必要时回到扫描”的循环把不确定性收敛。

21Installs·7Trend·@zixun-github

Installation

$npx skills add https://github.com/zixun-github/aisdlc --skill spec-checklist

How to Install spec-checklist

Quickly install spec-checklist AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/zixun-github/aisdlc --skill spec-checklist
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: zixun-github/aisdlc.

SKILL.md

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本技能用于在当前 Spec Pack 内按流程顺序扫描文档,找出“待澄清/待确认”的高价值问题,并通过一次只问一个问题的循环把结论回写到对应文档,直到不确定性被消除或被转成可验证条目。

用户施压“别问了/一次问完/直接给默认值”时:仍然只问 1 个最高杠杆问题;其余未决项必须留在文档里,并转换为可执行验证项(而不是口头记账)。

并在必要时补 1 行“联动更新”提示:指出哪些章节/文档因为该裁决需要同步更新(例如 implementation/plan.md 的任务与验证步骤、verification/usecase.md 的用例与数据口径)。

Use when 需要在当前 Spec Pack 中检查文档是否存在待澄清/待确认/TBD/TODO 等高价值不确定点,并用“一次只问一个问题→立刻回写文档→必要时回到扫描”的循环把不确定性收敛。 Source: zixun-github/aisdlc.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/zixun-github/aisdlc --skill spec-checklist
Category
</>Dev Tools
Verified
First Seen
2026-03-09
Updated
2026-03-10

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Quick answers

What is spec-checklist?

Use when 需要在当前 Spec Pack 中检查文档是否存在待澄清/待确认/TBD/TODO 等高价值不确定点,并用“一次只问一个问题→立刻回写文档→必要时回到扫描”的循环把不确定性收敛。 Source: zixun-github/aisdlc.

How do I install spec-checklist?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/zixun-github/aisdlc --skill spec-checklist Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/zixun-github/aisdlc