ingest
Skill2 starsChanged 7 days agoMITView on GitHub
Convert newly added lecture materials (slides, PDFs, videos, notes) to searchable text and update the subject's topic map. Use after the user adds files to materials/ or asks to add/import/process materials or a lecture video URL.
88 other projects use a version of this.
Adopted by
Most recently taken up by
- zaynram/scholartheir own version, first seen Nov 8, 2026
- silouone/skillstheir own version, first seen Nov 8, 2026
- hydra-db/hydradb-claude-codetheir own version, first seen Nov 8, 2026
- fjwood69/moritheir own version, first seen Nov 8, 2026
- zedarvates/frugal-skillstheir own version, first seen Nov 8, 2026
- Mharbulous/probanda-devtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use daily-arxiv, exp-eval and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 5 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 5 projects that use this
phanghonghaoSkillposter
HTML/CSS A4 海报生成。从沙龙/活动 Markdown 文件生成科技风 A4 海报 PDF/PNG。Use when user mentions: poster, 海报, 海报生成, make poster, generate poster, 活动海报, 沙龙海报.
Also in 5 projects that use this
skyllwtSkillexp-pilot-eval
Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.
Also in 4 projects that use this
skyllwtSkillexp-pilot-run
Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.
Also in 4 projects that use this
- +6 more from Lambenthan
- +1 more from skyllwt
Other versions88 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 88
- garrytan/gbrain★ 32ksame name
- skyllwt/OmegaWiki★ 1.7ksame name
- DAIR-AutoResearch/AutoSci★ 1.7ksame name
- PKU-DAIR/AutoSci★ 1.7ksame name
- skyllwt/AutoSci★ 1.7ksame name
- suboss87/FDEOps★ 940same name
- coreyhaines31/makerskills★ 893same name
- jason-effi-lab/karpathy-llm-wiki-vault★ 718same name
- ZimoLiao/scholaraio★ 585same name
- egregore-labs/egregore★ 293same name
78 more not listed
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 repository10 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- Example-Subject/CLAUDE.mdCLAUDE.md
- _template/CLAUDE.mdCLAUDE.md
- examSkill
- learnSkill
- quizSkill
- reviewSkill
- setupSkill
- statusSkill
- todaySkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 0 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 72 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
Run ~/Study/.tools/study ingest "<Subject>" (add --url <URL> for a video link).
- Very specific: line 13
If semantic search is set up, ingest also indexes the new files (~0.1 s per passage, a lecture in seconds).
- Very specific: line 15
Read the NEW converted files.
- Very specific: line 18
Update syllabus.md: add or refine topic rows in course order with precise sources (file p.x–y, slide n, [hh:mm:ss]) and an exam-weight …
- Very specific: line 21
Add new topics to progress.md with Level 0 and no dates.
“Common” is measured: kept by at least 6 in 10 of the 72 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
Ingest materials
- Resolve the subject (create it with
~/Study/.tools/study new "<Subject>"if I ask for a new one). - Run
~/Study/.tools/study ingest "<Subject>"(add--url <URL>for a video link). Video transcription runs locally and takes a few minutes per lecture — tell me before starting long ones and run it in the background if there are several. If semantic search is set up, ingest also indexes the new files (~0.1 s per passage, a lecture in seconds); aSemantic search is not set upline is fine, just mention/setuponce. - Read the NEW converted files. Scanned pages are OCR'd automatically (~2 s per page; marked
> OCR:) — check formulas, tables and diagrams against the original PDF. If a PDF is still flagged as scanned/image-based (no OCR available, or handwriting), read the original PDF directly and mention/setuponce. - Update
syllabus.md: add or refine topic rows in course order with precise sources (file p.x–y,slide n,[hh:mm:ss]) and an exam-weight guess (high/med/low) based on emphasis, repetition across lectures and the lecturer notes inCLAUDE.md. Merge duplicates; don't delete rows. - Add new topics to
progress.mdwith Level 0 and no dates. 5b. Iflinks.jsonexists, run~/Study/.tools/study links <Subject> --write: the local embedding model adds links for the new topics (existing links are kept). Don't write links yourself. If it says semantic search is off, skip this step. - Summarise: files converted, topics added, anything that failed or needs my attention, and suggest
/learnon the first new topic.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

