wjs-mining-articles
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>".
npx skills add jianshuo/claude-skills --skill wjs-mining-articles --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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)。 **ASR 人名几乎一定有错**:逐字稿里的人名先存疑,派 agent 写
- Core Principle
- When This Skill Fires
- When NOT to use
- Workflow
- Step 1 · 读 SRT,判断源类型,识别选题
- Step 2 · 出选题清单,等用户勾选 ⟵ 唯一的人工闸
- Step 3 · 每个选中话题写成 article.md + meta.json
- Step 4 · 直接建草稿(全自动)
- Step 5 · (可选)排期发到 X
- 复用边界
- Common Mistakes
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) python3 ~/.claude/skills/wjs-publishing-wechat/scripts/pangu.py <folder>/article.md # 幂等 gen-cover-ai.sh <folder> # 题图 cover.png(读 meta.json 的 title 当目标字词) gen-illustration.sh <folder> # 解释图 illustration.png + 确保 article.md 引用  upload-draft.sh <folder> # 上传到微信后台建草稿(只建草稿,不群发)
What does the wjs-mining-articles skill do?
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>".
How do I install it?
Run `npx skills add jianshuo/claude-skills --skill wjs-mining-articles --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jianshuo/claude-skills, a repository with 112 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.