workthreads Skill
SpecStory Workthreads——基于 SpecStory 编码历史(支持任意 agent:Claude Code、Codex、Cursor、Gemini 等)对团队各仓库生成每周工作线汇总。它把窗口期内的会话按项目归组为工作线,并标记每条是新建/进行中/刚关闭,让负责人看到什么已交付、什么还悬着、什么刚起步。当有人问"这周发生了什么""还有什么没完""团队完成了什么""给我周报汇总",或想基于 .specstory/history 语料出状态报告时使用。
安装方式:把技能目录放入 ~/.claude/skills/(Claude Code)或在 claude.ai 设置中启用;也可复制右侧安装命令一键添加。
技能指令原文(SKILL.md)
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
- Index the corpus into workthreads' own DB. Point at the team's repos and build/update it:
node "${CLAUDE_SKILL_DIR}/scripts/workthreads.mjs" index --projects <parent-of-repos> --db <db>
# or a single tree: --scan <root> or a single history dir: --dir <dir>
- Run
threadscross-project for the last 7 days and capture the evidence:
node "${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).
- 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
closedthreads); - (c) open loops - the
openthreads, unresolved or needing verification, with a suggested
next step each;
- (d) notable rollbacks / abandoned efforts (the
revertedthreads); - (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.
- 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
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/historycorpus? - Window - how many days back? (default 7 for the weekly rollup;
--days Nto 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.