wjs-mining-articles SKILL.md skillA

wjs-mining-articles from jianshuo/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jianshuo/claude-skills/wjs-mining-articles@git:20260524.321a861

Pins git:20260524.321a861 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jianshuo/claude-skills
Path
wjs-mining-articles/SKILL.md
Versions recorded
5
Latest version
git:20260524.321a861, committed May 24, 2026
First version recorded
May 24, 2026
Size
10,226 bytes
Repository stars
138
License
MIT

Use when the user has a video's SRT subtitle file — a 王建硕 monologue / 讲解, OR a 对谈 / 访谈 where 王建硕 is one of the speakers — and wants to mine it into multiple standalone 微信公众号 articles, one article per distinct topic. Triggers — "把这个视频写成文章", "从字幕里挖文章", "这个 SRT 能写几篇", "把对谈写成文章", "/wjs-mining-articles <srt>".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# wjs-mining-articles

一个视频的 SRT(独白或对谈)→ 一桌选题 → 用户勾几个(长对谈可「全要」)→ 每个长成一篇可发布的公众号文章,自动建好微信草稿,可选再排期发到 X。

## Core Principle

**口语是矿,文章是提炼出来的金属。** 一段王建硕的独白里通常讲了好几个各自独立、各自值得成文的点;每个点单独成一篇,比硬塞成一篇长文更符合公众号「800–1000 字、一篇一个核心」的节奏。

**字幕只是原料,成文要彻底书面化**——去掉「呃、那个、就是说、然后」这类口头碎屑,把口语逻辑理成书面段落;但**保留作者的用词偏好、家常比喻和语气**,绝不改成营销腔或书面八股。

## When This Skill Fires

- 用户给一个 SRT 路径,说「把这个视频写成文章」/「从字幕里挖文章」/「能写几篇」
- 用户跑 `/wjs-mining-articles <srt-path>`

支持两种源:**独白/讲解**(你一个人说)和**对谈/访谈**(你和别人对话)。两种走不同的识别路径(见 Step 1),但成文标准一致。

## When NOT to use

- **没有 SRT,只有视频/音频**——先用 `wjs-transcribing-audio` 出 SRT,再回来
- **对谈里王建硕根本没怎么说话**(纯主持、对方独角戏)——挖不出他第一人称的文章,别硬写
- **已有一篇成稿要发**——直接用 `wjs-publishing-wechat`

## Workflow

### Step 1 · 读 SRT,判断源类型,识别选题

脚本在本 skill 目录下,从 skill 根目录跑(或写全 `~/.claude/skills/wjs-mining-articles/scripts/parse-srt.sh`):

```bash
scripts/parse-srt.sh <srt-path>          # 句子合并、每块前缀 [起–止] 时间区间
scripts/parse-srt.sh <srt-path> --raw    # 一行一 cue: HH:MM:SS<TAB>text(需要细看时)
```

**先判断这是独白还是对谈。** SRT 没有说话人标记,从内容判断:有一问一答、现场寒暄/调设备、「你/我」互相称呼、有人反驳——就是**对谈**;从头到尾一个人连续讲就是**独白**。文件名/目录名带别人名字(如「汤维维」)是强信号。

**跳过非正片的口水段**:录制前的寒暄、调麦克风、「咱们聊啥」「这是播客还是视频」,以及中途「我去个洗手间」「换点水」这类——都不是内容,识别选题时直接略过(这次那条对谈开头约 5 分钟、中间几处都是这种)。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jianshuo/claude-skills/wjs-mining-articles@sha256:cb7c89b2b12a222f

The line at the top of this page pins the label git:20260524.321a861, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zyez7esnei2mu2qc.svg)](https://markdownregistry.com/a/art_zyez7esnei2mu2qc)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, all committed on May 24, 2026.

versioncommittedcommitsizeaudit
git:20260524.321a861 latest2026-05-24 321a861 10,226 BA view · diff
git:20260524.35bbb0c2026-05-24 35bbb0c 9,783 BA view · diff
git:20260524.45772582026-05-24 4577258 9,615 BA view · diff
git:20260524.fb907342026-05-24 fb90734 9,556 BA view · diff
git:20260524.d0176e82026-05-24 d0176e8 8,668 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10226 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jianshuo/claude-skills · 138 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zyez7esnei2mu2qc
GET https://markdownregistry.com/api/v1/resolve?ref=jianshuo/claude-skills/wjs-mining-articles
GET https://markdownregistry.com/api/v1/blob/cb7c89b2b12a222f534c4283b6db0b04a5279d1b7131774c5c2c8e90ac73a506

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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