Workthreads

SKILL开发
开发 未标注权限 许可证不明确

SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still an open loop, and what was just started. Use when someone asks "what happened this week", "what is still open", "what did the team finish", "give me the weekly rollup", or wants a status report over a .specstory/history corpus.

一句话选型结论

按资料字段整理

Workthreads是开发类的 Agent Skill,安装方式:GitHub 仓库,权限级别未标注,许可证不明确,没有现成安装命令,需按说明手动放置 SKILL.md。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类开发 安装方式GitHub 仓库 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 getspecstory
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

GitHub 仓库
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    按安装说明或仓库 README,把 SKILL.md 放到客户端的 skills 目录(一般一个技能一个文件夹)。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

开发
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方specstoryai仓库 getspecstory · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式GitHub 仓库安装包 specstoryai/getspecstory
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 2026-07-07
正文体量4.9 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写代码与改 bug

按需求补代码、定位并修掉报错。

读仓库与生成改动

让模型读懂项目结构,再给出可落地的改动。

跑测试与排查故障

按现象排查问题,补测试用例并复跑。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 基础信息齐全,可以先按说明装一个试试。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有现成安装命令,要按安装说明或仓库 README 手动放置。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在开发场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Workthreads当前 未标注权限 GitHub 仓库 未标注 未标注 无
技能审查员 浏览器控制 ClawHub 市场 877.9 万 OpenClaw 有
Vercel React 最佳实践 浏览器控制 GitHub 仓库 849.1 万 Codex、Claude、Cursor 有
GitHub 代码协作 联网访问 ClawHub 市场 763.3 万 OpenClaw 有
网页设计指南 联网访问 GitHub 仓库 668.6 万 Codex、Claude、Cursor 有
本体论 只读 ClawHub 市场 663.7 万 OpenClaw 有

SKILL.md 全文

4.9 KB
模型实际读到的说明书原文,来自技能仓库

Workthreads

A lead needs a weekly answer across the team's repos: what work happened this week, what got
finished, and what is still open and needs a next step. Workthreads produces that rollup
from SpecStory histories - the .specstory/history transcripts your coding agents already write.
It reports lines of work and their lifecycle (new / open / recently closed).

A deterministic engine (scripts/workthreads.mjs threads) does the retrieval, clustering, and
classification; you do the synthesis - you turn its evidence into the lead's weekly report.
Do not try to read raw transcripts yourself; they can be hundreds of thousands of lines. Run the
engine and write the rollup from its output.

This skill is harness-portable (agentskills.io format). Where it names a specific tool
(e.g. AskUserQuestion), treat that as "use your harness's equivalent; fall back to plain chat."

How the engine splits the work

  • The engine groups the window's beats by project and clusters them into threads (a line
    of work that can span several sessions). It assigns each thread one lifecycle status relative
    to today:
  • new - first activity within the last 7 days.
  • open - unresolved, still active (the open loops).
  • closed - latest outcome was success and the thread has gone quiet; flagged reverted
    when a beat ran a rollback command (git revert / git reset --hard / git checkout -- ...).
  • Output is deterministic (stable sort, no wall-clock timestamps in the body), so two runs on the
    same corpus are byte-identical.

Default flow: the weekly rollup

  1. Index the corpus into workthreads' own DB. Point at the team's repos and build/update it:
    bash node "${CLAUDE_SKILL_DIR}/scripts/workthreads.mjs" index --projects <parent-of-repos> --db <db> # or a single tree: --scan <root> or a single history dir: --dir <dir>

  2. Run threads cross-project for the last 7 days and capture the evidence:
    bash node "${CLAUDE_SKILL_DIR}/scripts/workthreads.mjs" threads --db <db> --days 7 # human digest node "${CLAUDE_SKILL_DIR}/scripts/workthreads.mjs" threads --db <db> --days 7 --json # machine-readable
    The digest prints, per project, three sections in order - New, Open, Recently
    closed
    - each thread with its evidence refs (path:line), last-activity date, status, and a
    reverted marker. --json emits an array of threads (project, status, reverted, the files
    touched, last-activity date).

  3. Write the rollup from that evidence, in the lead's shape:
    - (a) a high-level result: session count and active projects in the window;
    - (b) per-project highlights of completed work (the closed threads);
    - (c) open loops - the open threads, unresolved or needing verification, with a suggested
    next step each;
    - (d) notable rollbacks / abandoned efforts (the reverted threads);
    - (e) cite evidence refs (path:line) so each claim is checkable.
    Add a caveat that the week may still be in progress, so open and new threads are
    snapshots, not final outcomes.

  4. Save it to a dated file so the rollup is durable and diffable week over week:
    .specstory/workthreads/<YYYY>-W<week>.md
    (ISO week number, e.g. .specstory/workthreads/2026-W25.md). Also offer threads --out <file>
    to drop the raw digest beside your written summary.

Guided start

If the user just invokes the skill with no specifics, ask three short questions (use
AskUserQuestion or plain chat), then run the default flow with the answers:

  • Scope - which repos / parent directory holds the team's .specstory/history corpus?
  • Window - how many days back? (default 7 for the weekly rollup; --days N to widen.)
  • Goal - the whole rollup, just the open loops, just recently closed, or a quick
    status line? Tailor which sections you emphasize to the answer.

Conventions

Node ESM only, zero dependencies, Node >= 22.5. No em dashes anywhere (use " - "). The engine path
never calls an LLM or the network; all judgment (the written narrative, suggested next steps,
emphasis) is yours.

常见问题

5 问
答案由本站依据条目字段整理
Workthreads怎么安装?

没有现成安装命令:按安装说明或仓库 README,把 SKILL.md 放进客户端的 skills 目录(一般一个技能一个文件夹)。

Workthreads支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Workthreads权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Workthreads收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Workthreads用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。