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Media Digest

ASecurity

Reads anything long — a video, podcast, talk, article, PDF or a recording of their own — and hands it back short. Use it when the user points at one and asks what is in it, wants a meeting or lecture they recorded written up, or asks which videos on a topic are worth watching.

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  • Added October 1, 2026
ai-agentsgobashnode

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A100/100

Pro scans all 10 files and shows the line behind each finding

Scanned October 1, 2026

npx -y skills add cgoinglove/thursday-agent --skill media-digest --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: media-digest
description: "Reads anything long — a video, podcast, talk, article, PDF or a recording of their own — and hands it back short. Use it when the user points at one and asks what is in it, wants a meeting or lecture they recorded written up, or asks which videos on a topic are worth watching."
---

# Media digest

Every script is `node <this skill's dir>/scripts/<name>.mjs`, needs no key and prints a few
lines; the text itself goes to a file. Chain them with `&&` in one bash call.

```bash
S=<this skill's dir>/scripts
node $S/yt.mjs transcript <url|id>... --out <scratch> [--lang de]   # <id>.txt + <id>.json per video
node $S/yt.mjs search "<query>" [--within hour|day|week|month|year] [--length short|medium|long] [--sort relevance|views|date] [--max 20] --out <scratch>/rows.json
node $S/text.mjs <article url | pdf url | file.pdf> --out <scratch>/<name>.txt
node $S/part.mjs <file> <n>                                         # part n of a long file, one read
node $S/audio.mjs cut <url|file> --out <scratch>/audio [--minutes 10]   # no captions: pieces to transcribe
node $S/digest.mjs <digest.json> --name <page>                      # the page, in your artifacts folder
node $THURSDAY_SKILLS/artifact/scripts/document.mjs pdf <page path>   # a PDF beside it, when asked for one
```

Two facts decide the work:

- **One bash call shows only so much of what it prints; the rest is cut.** So every file these scripts
  write is split into `## Part N` blocks that each fit one read, and the head they print says
  how many. One part per bash call — two in one call are cut — and the calls for several
  parts sent together in one step. A question about one thing is `grep -n -i` on the file first, then only the parts
  that hit; a summary reads every part. How: `references/reading.md`.
- **A timestamp is only worth giving when it comes from the file.** Each transcript line
  starts with `[m:ss]`; cite that time, never one worked out. A `~` marks a time estimated
  from where the words fall in a piece of audio; cite it with the `~`, which still opens the
  source at that second.

YouTube is read with yt-dlp, which the first `yt.mjs` or `audio.mjs` call fetches into
`projects/` once (~50 MB); after that a video takes a few seconds.

`references/page.md` is the page's JSON and how an answer is shaped; `references/no-captions.md`
is a video, podcast or recording with no transcript. A meeting or lecture they recorded is written
up as notes — what was decided, who does what and by when, each point with its `[m:ss]` — in the
artifact skill's `templates/document/notes.md`, not as a digest page.

Files in this skill

  • SKILL.md2.6 KB
  • references/no-captions.md1.6 KB
  • references/page.md3.2 KB
  • references/reading.md2.9 KB
  • scripts/audio.mjs7.5 KB
  • scripts/digest.mjs17.4 KB
  • scripts/lib.mjs8.8 KB
  • scripts/part.mjs748 B
  • scripts/text.mjs9.8 KB
  • scripts/yt.mjs15 KB

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