Innei

working-summary

Use when the user asks for a work summary, weekly report, 工作总结,周报,working summary, or sprint/period recap. Aggregates GitHub PR/commit/issue activity from configured repos, optionally reads Linear cycle issues via MCP, honors Chinese public holidays, and produces a markdown report. Default range is the previous Mon-Sun week.

Innei 78 2 Updated 4w ago

Resources

3
GitHub

Install

npx skillscat add innei/skill/working-summary

Install via the SkillsCat registry.

SKILL.md

Working Summary

Generate a period work summary by aggregating GitHub PR/commit activity across configured repositories and — optionally — Linear cycle issues. The default time range is the previous Mon–Sun week, computed with awareness of Chinese public holidays. Output is markdown, suitable for Obsidian or any note system.

Config

Config path (default): ~/.config/working-summary/config.yaml
Override via --config <path>.

If the file is missing, tell the user to copy config.example.yaml (next to this skill) into the expected path and edit. Do not fabricate defaults.

github:
  user: innei # optional; falls back to `gh api user -q .login`
  orgs: # org-scope query — ONE gh search call per org
    - lobehub
    - lobehub-biz
  repos: # optional explicit repos (in addition to orgs)
    - innei/next-real-comment
    - mx-space/core
  include_commits: true # pull per-repo commits for active repos
linear: # optional, needs `linear` CLI authed
  workspace: lobehub # informational
  team: LOBE # team key (issue prefix)
  cycle: auto # previous | current | auto
  include_states: [In Progress, Done]
output:
  # Language for synthesized prose. Section headers and raw PR/issue/commit
  # titles are kept verbatim regardless; only descriptions and framing prose
  # follow this setting. Examples: zh-CN, en, ja
  language: zh-CN
  # Optional persistence target. When set, the user may choose to save the
  # report to `dir` at the end of a run. Leave unset to operate ephemerally.
  dir: ~/Documents/Obsidian/Reports
  # Placeholders: {year} {month} {week} {start} {end} {ext}
  filename: '{year}-{month}-w{week}.{ext}'

Output Flow

The skill never writes a file by default. It synthesizes markdown in the
conversation (which serves as the terminal display) and then asks the user
whether to persist the result.

At the end of synthesis, prompt the user with these options:

Choice Behavior
no / nothing Done. Report lives only in the conversation.
md Write markdown to output.dir/{filename} (ext=md).
html Render themed HTML to $TMPDIR/working-summary-<stamp>.html via scripts/render_html.py, run open on it, then ask whether to also move a copy to output.dir/{filename} (ext=html).
both Do md and html in that order.
linear Create a Linear issue in the report cycle, assigned to the viewer, state set to the team's completed state (typically "Done"), with the report markdown as the description. Requires Linear to be configured AND connected. See Linear archive below.
publish Upload the HTML report to the configured R2 bucket (served at the configured public base URL via a Cloudflare Worker behind Access). Requires output.publish to be set. Renders HTML to a tempfile if no html was produced yet. See R2 publish below.

Choices compose with +: e.g. linear+html, html+publish, linear+html+publish.
Order of operations within a composite:

  1. linear archive (if requested) — so the issue exists before any file write.
  2. publish to R2 (if requested) — so the public URL exists before the local file is touched.
  3. html / md local persistence (if requested).

Bare linear / publish is fine when no local file is wanted.

Default choice from config: when output.format is set in the config
file, use it as the highlighted default in the prompt (e.g.
format: html → "落盘否?[html / md / both / linear / publish / no]").
The user can still override by typing another choice. When output.format
is unset or is markdown, highlight md as default. When output.format
is both, highlight both. output.format may also be set to any of the
composite values (linear, linear+md, linear+html, linear+both,
publish, html+publish, linear+publish, linear+html+publish).

The HTML renderer is a deterministic post-processor — the LLM only ever
produces markdown. See HTML Rendering below.

Never overwrite an existing file silently. If the target exists, ask the
user (append, overwrite, or new suffix).

Default Time Range

The skill uses a previous Mon–Sun week as the default:

Today is Range
Mon [last Mon, yesterday Sun]
Tue..Sat [prev Mon, prev Sun]
Sun [prev Mon, prev Sun] (not this Sun)

Explicit overrides:

  • --from YYYY-MM-DD --to YYYY-MM-DD — hard range
  • --from YYYY-MM-DD — start from date, end at today
  • --date YYYY-MM-DD — pretend today is this date, then apply default rule

Chinese public holidays

scripts/compute_range.py uses the chinesecalendar Python library (loaded via uv --with chinesecalendar) to classify each day as workday / holiday. The orchestrator always emits a range.breakdown containing {date, weekday, workday, holiday} for every day, plus aggregated workdays / holidays counts. Use this data to:

  • Annotate the report header (e.g. "本周 3 工作日、2 节假日")
  • Decide whether the range is meaningful at all (if workdays == 0, ask the user whether they want the previous working week instead)

Data Collection

Step 1 — run the orchestrator

python skills/automation/working-summary/scripts/collect.py \
  [--config PATH] \
  [--from YYYY-MM-DD --to YYYY-MM-DD | --date YYYY-MM-DD]

Returns JSON to stdout:

{
  "range": { "start": "...", "end": "...", "workdays": N, "holidays": N, "breakdown": [...] },
  "config": { "author": "...", "orgs": [...], "repos": [...], "include_commits": true, "linear": {...}, "output": {...} },
  "github": {
    "owner/repo": {
      "prs_merged":  [...],  // reconstructed from commit (#NNN) refs → /repos/{r}/pulls/{n}
      "prs_open":    [...],  // /repos/{r}/pulls?state=open, filtered by author + updated window
      "commits":     [...],  // /repos/{r}/commits?author=&since=&until=
      "issues":      [...]   // /repos/{r}/issues?assignee=&since=, PRs filtered out
    }
  }
}

Why REST instead of gh search — the previous version used gh search prs/issues for org-wide queries. That index is unreliable: private orgs are unindexed entirely, and even public mono-repos return partial results (one test run showed 1/27 merged PRs hit). The current flow:

  1. GET /orgs/{org}/repos — page through every repo (incl. private), then merge with explicit repos.
  2. Per-repo GET /repos/{r}/commits?author=...&since/until — concurrent (16 workers). Commits filtered by GIT author + merge date window. Empty repos (HTTP 409) and archived repos (404) are silently skipped.
  3. Merged PRs are reconstructed from commit message refs: every (#NNN) in a commit message becomes a GET /repos/{r}/pulls/{n} call. Because commit dates are merge dates, these PRs are guaranteed merged in window.
  4. For "active" repos (had commits) plus explicit repos, fetch open PRs (/pulls?state=open) and assigned issues (/issues), filter by author + updatedAt client-side.

Set github.include_commits: false to skip steps 2-3 entirely (only open PRs / issues on the explicit repo list).

Step 2 — Linear (optional, via linear CLI)

When config.linear.team is set, collect.py invokes scripts/fetch_linear.py which shells out to linear api (the GraphQL endpoint of `@schpet/linear-cli`). Requires linear auth login once.

  1. Resolve viewer.id via { viewer { id } }.
  2. Resolve the target cycle for linear.team per linear.cycle:
    • previous — most recently completed cycle (endsAt <= today, max endsAt)
    • current — cycle whose [startsAt, endsAt) contains today
    • auto — cycle whose [startsAt, endsAt] overlaps the computed range (max overlap wins)
  3. Query issues(filter: { team, cycle, assignee = viewer }) with optional state filter from linear.include_states.
  4. Each issue carries attachments — GitHub PR/commit URLs are exposed there, enabling PR ↔ issue linking without text matching.

The script returns null (silent) when:

  • the linear binary is missing,
  • the user is not authenticated,
  • the cycle cannot be resolved.

In any of those cases, the report continues with GitHub-only output and must note that Linear was skipped.

In addition to the report cycle (resolved against the date range), the script also fetches the active cycle (the one containing today) and pulls only its started issues. For the typical "previous Mon-Sun" weekly report these are different cycles — the report cycle is the cycle that just ended, the active cycle is what the user is currently working on. When the two happen to be the same cycle, the in-progress slice is filtered from the already-fetched issues with no extra round-trip.

{
  "linear": {
    "team": "LOBE",
    "team_id": "...",          // Linear team UUID — used by create_linear_issue.py
    "done_state_id": "...",    // first workflow state with type=completed (typically "Done")
    "viewer_id": "...",
    "cycle": { "id": "...", "number": 9, "name": "...", "startsAt": "...", "endsAt": "...", "progress": 0.37 },
    "issues": [
      {
        "identifier": "LOBE-6603",
        "title": "...",
        "state": "Done",
        "stateType": "completed",
        "priority": 1,
        "priorityLabel": "Urgent",
        "labels": ["🐛 Bug", "Improvement"],
        "url": "https://linear.app/.../LOBE-6603",
        "completedAt": "...",
        "attachments": [
          { "url": "https://github.com/.../pull/13481", "title": "...", "sourceType": "github" }
        ]
      }
    ],
    "in_progress": {
      "cycle": { "number": 10, "name": "2026.04 W2", ... },
      "issues": [ /* same shape as above; only state.type == "started" */ ]
    }
  }
}

The report's "Linear cycle snapshot" section MUST surface in_progress.issues under a sub-heading like "本周仍在进行(active cycle #N)" so the user sees both retrospective Done items and forward-looking work in one place. Skip the sub-heading when in_progress.issues is empty.

Step 3 — noise filter

The following never anchor a 要点 theme, and never justify one on their own:

  • i18n / locale-only sync
  • Submodule bumps, lockfile-only updates
  • Formatting-only, single-line config tweaks
  • Release PRs

They still appear under 仓库汇总 — the filter decides what gets narrated, not what gets recorded.

Substantive work (features, non-trivial fixes, infra, security) is what theme selection draws from, and always appears in 仓库汇总 regardless of whether a theme picked it up.

Report Synthesis

Synthesize markdown from the collected JSON.

Language rule

The output language is controlled by output.language in config (default zh-CN). The rule is:

  • Translated to output.language — readable descriptions, framing prose, headers you author yourself, callout text, follow-up notes.
  • Kept verbatim regardless of language — fixed section labels (In Progress, Features, Fixes, Refactor, Build / CI / Deps, etc.), and raw PR / issue / commit titles (these are quoted verbatim for traceability — never translate them).

So even when language: zh-CN, a 本周要点 theme looks like:

**2. 首屏与冷启动性能治理** — SPA 启动改成按需驱动,桌面把 tray / updater / i18n 等非首帧工作移到 BrowserWindow 创建之后;官网 root loader 的冷请求原本 TTFB 1369ms。[lobehub#17577](https://…) · [lobehub#17811](https://…) · [cloud#1230](https://…)

…and a 仓库汇总 bullet keeps the raw title verbatim:

- `⚡️ perf: make SPA startup demand-aware` [#17577](https://…)

The prose is 中文; the backtick-quoted raw titles and the link text stay English (or whatever the original PR author wrote).

The synthesized language applies to descriptions even when the PR body is in a different language — the description is your paraphrase, written in output.language, distilled from the body.

Sections

  1. Header — period title, date range, workday/holiday count, repo count + activity totals.

  2. 一、本周要点 (Highlights) — the section the user actually reports from. Everything else in the report exists to back this section up.

    Cluster the window's merged PRs and loose commits into 3–6 cross-repo themes. A theme is a storyline several PRs advance together — an architecture migration and the defect class it exposed, one performance push landing across OSS + Cloud, a single capability shipped through three repos. It is emphatically not "the N most important PRs".

    Each theme:

    **N. <theme name>** — <1-2 sentences: what changed and why it mattered> <2-5 key PR links>

    Rules:

    • Order by significance. Not chronology, not repo, not PR count.
    • Lead with the user-visible consequence or the measured number, not the refactor's name — "按发送没反应"、"冷启动 TTFB 1369ms"、"非英文系统首启显示英文" beat "重构了 router 层".
    • Synthesize from PR bodies (prs_merged[].body is collected for this). A theme that only restates PR titles has failed.
    • Each PR belongs to at most one theme. PRs that fit no theme simply do not appear here — 仓库汇总 still records them.
    • Do not pad to reach 6. Three real threads beat six manufactured ones. If a "theme" has one PR under it, it is not a theme.
    • Mention the theme's PR count when it is large ("涉及 5 个 PR") — that is the part that reads as a week's work.
  3. 二、仓库汇总 (Per-Repo Breakdown) — every merged PR and loose commit, grouped by repository, as compact one-line bullets:

    - `<raw PR title>` [#<num>](url)

    This is the traceability index, not prose — where a reader goes to confirm something shipped. Head each repo with ### <owner/repo> *(N commits)* (the *(N commits)* suffix is parsed by render_html.py into a count badge) plus one framing sentence about what that repo saw this week. Do not restate the 要点 prose here.

  4. 三、未合并 / 跟进 (Follow-ups) — closed-but-unmerged PRs needing reopen, open PRs, assigned issues still open, stale work, Linear issues without PRs.

  5. 四、Linear cycle snapshot — if Linear is configured and connected.

Use Obsidian callouts where appropriate:

  • > [!success] — shipped highlights
  • > [!info] — context / cycle snapshot
  • > [!warning] — follow-up actions

PR ↔ Linear linking heuristics

Match a merged PR to a Linear issue when:

  • PR title or body contains the Linear issue identifier (e.g. TEAM-123)
  • Branch name starts with the issue identifier
  • An attachments entry on the Linear issue links to the PR URL

Flag any merged PR with no Linear match as an untracked item.

Persistence Targets

When the user opts to persist (see Output Flow above), expand placeholders
from the computed range before constructing the filename:

  • {year} / {month} — from range.end
  • {week} — ISO week number of range.end
  • {start} / {end}YYYY-MM-DD
  • {ext}md or html depending on the chosen format

Targets:

  • markdown{output.dir}/{filename} (ext=md)
  • html temporary$TMPDIR/working-summary-{start}-{end}.html then open it
  • html permanent (optional follow-up) → {output.dir}/{filename} (ext=html)
  • linear archive → no file; see Linear archive below

Never overwrite an existing file silently — if present, ask the user
(append, overwrite, or new suffix).

Linear archive

When the user picks linear (or a composite), the skill must:

  1. Write the final synthesized markdown to a working file (e.g. the same
    one used for render_html.py).
  2. Invoke scripts/create_linear_issue.py --json collected.json --md report.md.
    The script reads linear.team_id, linear.done_state_id,
    linear.viewer_id, linear.cycle.id, range.start, range.end from
    the collected JSON and submits a single issueCreate mutation via
    linear api.
  3. Title defaults to Weekly Summary YYYY-Www (start ~ end) using the ISO
    week of range.end. Override via --title.
  4. The created issue lands in the report cycle (not the active cycle),
    assigned to the viewer, with state set to the team's first completed
    workflow state — typically "Done". Description is the markdown report
    verbatim.
  5. On success the script prints {identifier, url, state, cycle, assignee}
    as JSON. Surface the identifier + URL back to the user.
  6. Failure modes: missing linear CLI, missing fields in collected JSON
    (re-run collect.py against an updated fetch_linear.py), or GraphQL
    errors. The script exits non-zero with a stderr message — propagate it.
  7. Use --dry-run to print the mutation input without sending; useful for
    debugging or when the user wants to confirm the destination before the
    write.

The linear choice never writes a file. Combine with md / html /
both to also persist locally.

R2 publish

When the user picks publish (or a composite), the skill must:

  1. Ensure an HTML report exists on disk. If the chosen composite did not
    already render HTML, run render_html.py into a tempfile under
    $TMPDIR. Reuse the same tempfile if html was also chosen.
  2. Compute the R2 key from the same placeholder used for local persistence
    ({year}-{month}-w{week}.html).
  3. Probe for conflict:
    scripts/publish_r2.sh check <bucket> <key> → exit 0 = exists, 1 = missing.
  4. If the object exists, ask the user [overwrite / suffix / skip]. On
    suffix, append -1, -2, ... until a free key is found (re-running
    check between each attempt).
  5. Upload:
    scripts/publish_r2.sh put <bucket> <local-file> <key> <base-url>
    prints the public URL to stdout on success.
  6. Surface the URL back to the user. Do NOT visit it from inside the skill
    — Cloudflare Access requires interactive email login.

The script invokes wrangler r2 object put with --content-type "text/html; charset=utf-8". The user must already be wrangler login-ed
to the Cloudflare account that owns the bucket; the skill never handles
credentials directly.

output.publish is required. If missing, the publish choice is hidden
from the prompt and any composite containing publish is rejected with a
clear message.

The hosting Worker code itself lives under host/ (see host/README.md)
and is deployed independently via wrangler deploy. The skill never
redeploys the Worker — new reports are just new objects in the bucket and
become visible in the index on the next page load.

HTML Rendering

HTML is produced deterministically by scripts/render_html.py, not by
the LLM. This keeps token cost low and the visual theme consistent across
runs.

scripts/render_html.py \
  --markdown <md-file | -> \
  [--json collected.json] \
  [--lang zh-CN] \
  [--title "2026-W14"] \
  [--user innei] [--host reports] \
  -o <out.html | ->

Inputs

  • --markdown (required) — the synthesized markdown report. Pass - to
    read from stdin. The script extracts <h1> as report title and parses
    the header paragraph (**周期** / **作者** / **仓库**) plus the
    leading blockquote for the summary callout.
  • --json (optional) — collect.py JSON output. When provided, meta grid
    and activity-heat stats are computed from structured data instead of
    scraping the markdown. Prefer this when available.

What the script does

  1. markdown-it-py converts the report body to HTML fragment.
  2. BeautifulSoup post-process passes:
    • extract h1 → typewriter header
    • peel off header metadata <p> + summary <blockquote> and render
      them as a meta-grid and a shipped callout
    • drop stray top-level <hr>
    • convert > [!kind] blockquotes into .callout.<kind> divs
    • wrap each repo <h3> inside the「仓库汇总」section in <details>
      (first open) with a copy button; the *(N commits)* suffix
      becomes the right-aligned count badge
    • wrap each <h2> + its following siblings in <section id=slug>
    • scan every <li> for a conventional-commit prefix in any <code>
      descendant (feat|fix|refactor|perf|build|ci|chore|docs|test|style|revert)
      and prepend a colored .tag span
    • assign slug ids to section h3 headings so the sidebar TOC can
      link to sub-items
  3. The shell (CSS + HTML + JS) lives in
    scripts/templates/report.html and is filled via string.Template.
    It honors prefers-color-scheme (dark by default, light on light
    systems) and includes a dedicated @media print theme that switches
    to black-on-white, hides the sidebar/toolbar, expands every <details>,
    and appends (url) to anchors for print traceability.
  4. Output is a single self-contained HTML file — no external assets.

Degradation: if the markdown lacks the expected header paragraphs or
the「仓库汇总」section, the script still renders a plain themed page
without the meta grid or collapsible repo blocks. It never raises.

After the report

Offer — and wait for explicit confirmation — before any write action:

  • Close Linear issues whose PRs were merged in the window
  • Create Linear issues for substantive untracked PRs
  • Create GitHub issues for trivial but recurring follow-ups

Sub-scripts (debugging)

  • scripts/compute_range.py --classify — print the computed range and per-day holiday breakdown.
  • scripts/compute_range.py --date 2026-04-06 --classify — simulate running on a specific date.
  • scripts/fetch_github.py --author innei --repo mx-space/core --from 2026-03-30 --to 2026-04-05 — single repo.
  • scripts/fetch_github.py --author innei --org lobehub --org lobehub-biz --from 2026-03-30 --to 2026-04-05 — expand both orgs, full pipeline.
  • scripts/fetch_github.py ... --no-commits — skip commit + merged-PR reconstruction; only open PRs / issues on explicit repos.
  • scripts/fetch_linear.py --team LOBE --cycle auto --from 2026-03-30 --to 2026-04-05 — Linear-only fetch, useful for debugging cycle resolution.
  • scripts/render_html.py --markdown report.md -o /tmp/out.html — render a standalone markdown file into themed HTML. Add --json collected.json to enrich the meta grid and stats.
  • scripts/create_linear_issue.py --json collected.json --md report.md --dry-run — print the issueCreate mutation input without sending. Drop --dry-run to actually create the issue in the report cycle.
  • scripts/publish_r2.sh check <bucket> <key> — probe whether a key already exists in the R2 bucket (exit 0 = yes, 1 = no, 2 = wrangler/auth error).
  • scripts/publish_r2.sh put <bucket> <local-file> <key> <base-url> — upload the local file as <key> with text/html content type, print the resulting public URL.

Dependencies

  • gh CLI, authenticated (gh auth status)
  • uv (for script shebangs — collect.py pulls pyyaml + chinesecalendar, render_html.py pulls markdown-it-py + beautifulsoup4 on first run)
  • linear CLI, authenticated (linear auth login) — only required if config.linear is set
  • Make scripts executable once: chmod +x skills/automation/working-summary/scripts/*.py