Media digest
SkillDocs & knowledgeReads 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.
Use Media digest in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Media digest and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Media digest skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by cgoinglove/thursday-agent in skills/media-digest/SKILL.md and read by Ahel’s review.
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.
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 Nblocks 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 isgrep -n -ion 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.
Signals
- GitHub stars
- 25
- Forks
- 3
- Last commit
- Oct 2026
Ahel recommends instead
Advanced
- Item type
- skill
- Key
media-digest-cgoinglove- Source
- github.com/cgoinglove/thursday-agent
github.com/cgoinglove/thursday-agent
More in Docs & knowledge
Skill · mattpocock
More in Docs & knowledgecanvas-design
Skill · anthropics
More in Docs & knowledgedoc-coauthoring
Skill · anthropics
More in Docs & knowledgepopups
Skill · coreyhaines31
More in Docs & knowledgewriting-for-agents
Skill · mattpocock
More in Docs & knowledgespec-driven-development
Skill · addyosmani
More in Docs & knowledge