summarise
Skill2 starsChanged 9 months agoMITView on GitHub
Extract and summarise content from URLs, YouTube videos, podcasts, and files. Use when the user shares a link, asks "what's this about", "summarise this", wants a transcript, or references web/video/podcast content.
- Reads credentials
3 other projects use a version of this.
Adopted by
Most recently taken up by
- marcuskrogh/skillstheir own version, first seen Oct 13, 2026
- mindscrape9/skillstheir own version, first seen Aug 3, 2026
- kn-neeraj/agent-skillstheir own version, first seen Jun 7, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- kn-neeraj/agent-skills★ 2same name
- marcuskrogh/skills★ 1same name
- mindscrape9/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- garminSkill
- githubSkill
- listsSkill
- pagesSkill
- playwrightSkill
- plexSkill
- remindersSkill
- skill-creatorSkill
- stravaSkill
- twitterSkill
- zettelkastenSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Use --extract to get clean text, then summarise as the agent.
- Distinctive: line 30
When content is very long and would use too many tokens, let summarize do it directly.
- Very specific: line 40
Use CLI summarisation (without --extract) for very long content to save tokens
- Very specific: line 48
Model errors: Check that the relevant API key env var is set (e.g.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Summarise Skill
Extract clean content or generate summaries from URLs, YouTube videos, podcasts, and files using @steipete/summarize via buns.
Usage
buns run --allow-host="*" --allow-env="*" --memory=512 --timeout=120 workspace/skills/summarise/scripts/summarize.ts -- [FLAGS] "URL_OR_FILE"Extract Content (preferred)
Use --extract to get clean text, then summarise as the agent. This avoids a redundant LLM call.
# Web page or article
... -- --extract "URL"
# YouTube with timestamps
... -- --extract --timestamps "YOUTUBE_URL"Summarise via CLI
When content is very long and would use too many tokens, let summarize do it directly.
... -- "URL" # default xl summary
... -- --length short "URL" # brief summaryTips
- Prefer
--extractfor most use cases — the agent can summarise in its own voice - Use CLI summarisation (without
--extract) for very long content to save tokens --timestampsadds time markers to YouTube/podcast transcripts--jsonreturns structured output with metadata
Troubleshooting
- No transcript: YouTube video may not have captions
- Timeout: Increase
--timeoutfor long videos or slow sites - Model errors: Check that the relevant API key env var is set (e.g.
ANTHROPIC_API_KEY)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

