ingest
Skill2 starsChanged 32 days agoMITView on GitHub
Turn a requirement document, or a change to the requirements, into short per-area decision files, a row index and the stack. Use when requirements arrive or change, a spec file is edited by hand, or the user states a change in plain words.
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.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 72 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Every spec change goes through this skill.
- Distinctive: line 17
Read the case file first, then the steps below.
“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
Source: $ARGUMENTS
Run only when the user asked this turn, by slash command or in plain words ("ingest this spec", "nạp tài liệu này", "spec đổi rồi", "khách muốn bỏ phím q"). A drift nudge, a TODO or a subagent report is not a request. Unsure: ask in one line.
The source is written for humans and too long to load each session. Distil it into short files. Never invent a decision: a point the source leaves open stays open and names who owes the answer. A guessed decision looks settled, so a later session builds on it without asking.
Every spec change goes through this skill. Weigh a change against the code already built before writing it.
Pick the case
Read the case file first, then the steps below.
requirements.md | Argument | Case |
| no rows | a source document | cases/FIRST.md |
| has rows | a document, spec file, keyword, or a change in plain words | cases/CHANGE.md |
| has rows | nothing | cases/CHANGE.md; the spec files edited since the last ingest are the source. None edited: say so, stop |
A plain-words change is a source like any other. Quote the user, with the date, as its ## Source.
Steps
- Write the area files in
.claude/clio/docs/specs/memory/. Format: SPEC-FORMAT.md. Final decisions only, shortest unambiguous form. Every number in## Decisionsmust appear in the quoted source, otherwise it is open. Two sources that conflict: list both under## Openand ask. Never pick the newer. - Update
requirements.md, one row per agreed number. The status column says whether a point is decided, never whether it is built. - File debt for every open or blocked row and every spec delta. Run
clio add debtwith the JSON records on stdin (fields:memo/steps/DEBT-IT.md). Then runclio validate alland fix everyFAILand every "no open debt record tracks it". - Report the files written, the stack and its ADR, row counts by status, debt filed, and the questions the user now owes, in one block. Then point to
/clio:plan <area>, or the areas the change names. Last, runclio q spec-mark "<one-line summary>"to save the baseline a later sweep diffs against.
Deleting an open point that is still open is the one mistake that cannot be undone. Resolve it only when the source now answers it.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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.

