跳到正文
cccskills
免费在 GitHub 公开

feature-doc

Closed-loop feature documentation for your product. Give it a feature (issue numbers or an id) and it reads the source, drives your live app to capture real screenshots and a screen recording, writes a docs article (Docusaurus or any markdown docs site) with both how-to steps and use-case content, then verifies the article with a fresh-context read-only verifier before reporting. Use when you say "write the doc for <feature>", "document issue #123", or "/feature-doc".

中文简介正在准备中。当前显示原文说明。

集成工具Playwright

实测评分 未实测

查看安装方法

包含的文件(5)

  • SKILL.md9.5 KB
  • tools/arcade-record.py7.0 KB
  • tools/recompose.py8.5 KB
  • tools/screenrec.py6.0 KB
  • tools/videokit.py9.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

feature-doc: closed-loop feature documentation

Produces one evidence-backed feature article end to end. Capture needs no manual gesture: a bundled recorder grabs frames from the browser through the DevTools protocol. Publishing the docs PR stays a gate for you at CP-6.

Configuration

Set these once (a .env, your kit.toml, or pass them as arguments). Nothing below is hardcoded.

SettingMeaningExample
APP_URLStart page of the live app to drivehttps://app.example.com/projects/1
ISSUE_REPOIssue tracker holding the feature issuesyour-org/your-product
DOCS_REPOLocal path of the docs repo../your-docs
DOCS_DIRFolder inside the docs repo for the articledocs/features/
EVIDENCE_DIRWhere screenshots and video land./evidence/<feature>/

Keep the docs repo in a folder your tools can always read. Some operating systems block background reads of the Documents folder mid-session, which breaks the verifier.

When to use

  • A shipped or shipping feature has no article, or an outdated one.
  • You want a doc that works as a user manual and as a guide to what you can do with the feature, with real screenshots and a video.

Skip it for backend features with no user surface (write a short "no doc required" record instead).

Closed loop

CP-1 spec (issues/repo)  -> CP-2 plan (AC-n)  -> CP-3 build (capture + write)
   -> CP-3v component verify (task-verifier, read-only)  -> fix-agent (max 2)
   -> CP-5 post-condition  -> CP-6 ship gate (you review, then open the docs PR)

The writer never grades its own work. The verifier is a fresh-context, read-only subagent that gets paths and AC-n only, never the writer's narration. See the closed-loop skill for the checkpoint mechanics.

Inputs

  • Feature id plus seed issue numbers in ISSUE_REPO, or a spec path.
  • A browser already logged in to the app, reachable by a browser automation tool (Playwright, CDP, or your browser harness). If the app redirects to a login page, stop and ask the user to sign in. Never type credentials.
  • The docs repo at DOCS_REPO. One article per feature: a new feature gets a new article, a changed one updates the existing article.

Pipeline

1. Enrich (CP-1)

Read each seed issue (gh issue view <n> --repo $ISSUE_REPO --json title,body,state,labels,milestone, or your tracker's CLI) and any matching spec files. Establish the concrete user surface, the ship status per issue (an OPEN issue is not a shipped surface, so do not claim it), and the exact flow to demo. Never invent UI. Where a detail is unknown, mark it TODO and flag it.

2. Plan (CP-2)

Map the article's sections to AC-n (see Post-conditions). Grep the docs repo for existing coverage to decide between a new article and an update.

3. Capture (CP-3)

Drive the live flow and save real evidence into EVIDENCE_DIR.

  • Screenshots of each meaningful state, using your browser tool's screenshot call.

  • A real video of the end-to-end flow with the bundled recorder (no gesture, no ffmpeg needed for the capture):

    SR_OUT=$EVIDENCE_DIR/<feature>-demo \
    SR_URL=$APP_URL \
    SR_FPS=8 \
    SR_STEPS='[{"at":0.5,"do":"click_testid","testid":"..."},{"at":2.0,"do":"click_text","text":"..."}]' \
    browser-harness < .claude/skills/feature-doc/tools/screenrec.py
    

    screenrec.py runs inside a CDP-based Python harness that exposes the page (browser-harness is one such tool; adapt the launcher to Playwright or your own). It writes frames, <out>.manifest.json (fps, viewport, per-action events with cursor coordinates and captions) and a quick <out>.raw.mp4 preview. Step actions are click_xy|click_testid|click_text|type|key|scroll, each with at (seconds) and an optional caption.

    The deliverable is a clean, complete recording of the real workflow: set up, configure, use, get the result. Finish it with tools/recompose.py, which places the real viewport in a simple browser window on a gradient background and speeds up long waits instead of cutting them. No captions, no intro or outro cards, no synthetic cursor.

    RC_MANIFEST=<base>.manifest.json RC_OUT=<feature>-walkthrough.mp4 \
    RC_SEGMENTS='[[0,9,1],[9,58,8],[58,70,1]]'  # [from_s,to_s,speed]; ramp the waits \
    RC_ADDR="app.example.com" python3 .claude/skills/feature-doc/tools/recompose.py
    

    recompose.py needs ffmpeg and Pillow. Embed the result with a plain video tag: <video controls preload="metadata" style="width:100%;border-radius:8px;"><source src="..." type="video/mp4" /></video>.

    • Length follows the task: long enough to teach setup and usage.
    • The usage payoff must work on camera. If the payoff step is broken, do not record a stub. Use screenshots for the working part and hold the video until the full flow works.
    • A clip of a few seconds is worse than a screenshot. Use a screenshot instead.
    • tools/videokit.py makes a branded, captioned teaser with intro and outro cards. Use it only for marketing teasers, never for walkthroughs.
  • Optional polish: an interactive demo (Arcade or similar). Browsers require a trusted user gesture to start such recorders, so tools/arcade-record.py drives the flow while you press the start and stop shortcut yourself.

  • Look at every capture. Open the images and the video, name any UI discrepancy, fix the flow, and re-capture. Never pass on "the element exists".

  • If a flow is gated (a broken backend path, an unshipped surface), capture what works, file the blocker in your tracker, and mark the rest pending. Do not fake a working demo.

  • Mask any customer data or personal data visible in a capture before it leaves your machine.

4. Write (CP-3)

Write the article as markdown (MDX-safe when the docs site is Docusaurus) with both layers:

  • How-to: overview, why it matters, step-by-step usage.
  • Use-case layer: at least 3 use cases with sample workflows (each a concrete prompt or step list plus the expected result), prompting techniques where the feature takes input, best practices, limitations.
  • Embed the captured media (![alt](path) for images, a video tag for the recording). Cross-link to related articles.
  • Run the draft through the no-ai-slop skill before verification.

5. Verify (CP-3v then CP-5)

Spawn a task-verifier with only the article path, the evidence directory and the AC-n list. It re-opens the files and media itself and returns one row per AC: EVIDENCE AC-n | CP-3v | PASS|FAIL | <one line + path/observation>. On FAIL:fixable, spawn fix-agent (max 2 attempts) with just the failed AC-n, then re-verify. After 2 attempts, escalate with the evidence.

6. Report and ship gate (CP-6)

Summarize the article path, the media (with accessible URLs once uploaded), the AC-n PASS table, and open TODOs or gated items. Opening the docs PR waits for the user.

Post-conditions

  • AC-1 The article exists at the planned path under DOCS_DIR with valid frontmatter for your docs site.
  • AC-2 It contains how-to steps and the use-case layer (at least 3 use cases, prompting where relevant, best practices).
  • AC-3 Every UI or behavior claim is grounded in a captured screenshot or an issue body. Unknowns are TODO, not invented. Surfaces from OPEN issues are marked gated, not shipped.
  • AC-4 Either (a) a clean, complete walkthrough recording exists (real setup, usage and result, no decoration, valid mp4 by ffprobe) and the article embeds it, or (b) screenshots cover the working parts and the article notes the video is pending. A short decorated clip does not satisfy this.
  • AC-5 Evidence that ships is accessible (uploaded to the PR or issue, not a local path).
  • AC-6 A limitations section states any gated, blocked or unshipped parts.

Rules

  • No fabrication. Follow your house writing rules (no em dashes, TL;DR first, scannable).
  • Visual verification is mandatory for UI docs: read the pixels, fix what is wrong, re-capture.
  • Use relative paths or config values in all output, never machine-specific absolute paths.

Escape hatches

  • Auth wall: stop and ask the user to sign in. Never enter credentials.
  • CDP will not connect: point your harness at the browser's remote-debugging URL (for example http://localhost:9222) and reload it. If the browser prompts for permission, the user clicks Allow.
  • Flow gated by a bug: file it, capture the working portion, mark the rest pending.
  • ffmpeg absent: the recorder falls back to a GIF preview. Install ffmpeg for the mp4.

Tools

  • tools/screenrec.py: flow recorder (CDP frame-grab loop to frames, manifest and raw preview).
  • tools/recompose.py: walkthrough finisher. Manifest to a clean 1920x1080 h264 mp4 with a browser window, gradient and speed ramps. Options: RC_FIT=1 fits a phone or tall capture, RC_CROP=x0,y0,x1,y1 crops the source, RC_NOBAR=1 drops the browser bar, RC_SPEED_BADGE=1 labels sped-up segments, RC_REDACT pixelates boxes such as a person's name.
  • tools/videokit.py: branded teaser cut with captions and cards (teaser only).
  • tools/arcade-record.py: hybrid interactive-demo recorder. Set APP_URL and add flows to its FLOWS table.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis

中文简介正在准备中。当前显示原文说明。

huytieu/COG-second-brain13172026年10月23日 更新

Write and publish a post to your own static blog: TL;DR, ASCII art, markdown twin for agents, deploy, and social distribution

中文简介正在准备中。当前显示原文说明。

huytieu/COG-second-brain13172026年10月23日 更新

Write and publish a post to your own static blog end to end: content checklist (embedded links, optional TL;DR), per-post ASCII art, an agent-readable markdown twin, deploy, and social distribution. Use when you say "write a blog post", "publish this to my blog", or "push this post to socials".

中文简介正在准备中。当前显示原文说明。

huytieu/COG-second-brain13172026年10月23日 更新

braindump

免费

Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction

中文简介正在准备中。当前显示原文说明。

huytieu/COG-second-brain13172026年10月23日 更新

Run one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.

中文简介正在准备中。当前显示原文说明。

huytieu/COG-second-brain13172026年10月23日 更新

Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning

中文简介正在准备中。当前显示原文说明。

huytieu/COG-second-brain13172026年10月23日 更新

查看 huytieu 的全部技能

报告此技能的问题