capture-learning
Skill0 starsChanged 4 months agoMITView on GitHub
Capture a concept just explained/discussed in the current session into the project's paired learning-resource location (a cheat sheet entry, and optionally an exercise) — durable, not left in chat. Use when the user hits something they don't understand in real code, asks to "add this to the cheat sheet", wants to remember an explanation for later, or a comprehension gap comes up mid-session. Not stack-specific — works for any project paired with any learning location (a language-specific playground, a consolidated docs repo, etc).
14 other projects use a version of this.
Adopted by
Most recently taken up by
- callumflack/skillstheir own version, first seen Nov 8, 2026
- RoyoTech/royo-learntheir own version, first seen Nov 8, 2026
- netgrade-digital/shared-agentstheir own version, first seen Nov 1, 2026
- DentalEdge-Solutions/claude_codetheir own version, first seen Nov 1, 2026
- impactbrussels/AINativeOStheir own version, first seen Oct 20, 2026
- hussainweb/skillstheir own version, first seen Sep 18, 2026
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- NVIDIA/multi-storage-client★ 91same name
- Kastalien-Research/thoughtbox★ 64same name
- PIXARTSeu/Synapse★ 9same name
- RoyoTech/royo-learn★ 7same name
- netgrade-digital/shared-agents★ 5same name
- hussainweb/skills★ 2same name
- impactbrussels/FounderOS★ 2same name
- subarnasaikia/kaggle-skills★ 2same name
- callumflack/skills★ 1same name
- DentalEdge-Solutions/claude_code★ 1same name
4 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 repository4 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- cartographerSkill
- surveyorSkill
- visualiserSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 7 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Check the current project's own memory mechanism, in order, stop at first hit:
- Very specific: line 17
If a .beads/ dir exists here: bd memories learning-resource / bd recall learning-resource-location.
- Very specific: line 30
Read that location's CLAUDE.md (or README.md if no CLAUDE.md) to learn its actual structure: cheat-sheet file names/paths, style contract, …
- Distinctive: line 46
Follow the target location's own style contract exactly (terseness, example format, citation format, whatever it specifies) — never apply a …
- Distinctive: line 50
Show the draft and stop: Do not write until the user approves.
- Distinctive: line 58
Ask whether this warrants a new exercise step, or a new exercise.
- Distinctive: line 72
Never write code for the user inside the target location's exercises — same prime directive as any tutoring context, if the target location …
- Distinctive: line 75
Never invent a cheat-sheet style not already established at the target location.
- Distinctive: line 76
Never touch the current project's own source — this skill only writes to the paired learning-resource location.
“Common” is measured: kept by at least 6 in 10 of the 14 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
Capture Learning
Turns an in-session explanation into a durable artifact in whatever learning-resource location is paired with the current project — never assume any specific stack or repo name. Discover everything about the target from its own docs each time.
1. Find the paired learning-resource location
Check the current project's own memory mechanism, in order, stop at first hit:
- If a
.beads/dir exists here:bd memories learning-resource/bd recall learning-resource-location. - Else check this session's file-based memory for a
reference-type entry pointing at a learning location. - Nothing found → ask the user for the path once. Save it back using whichever mechanism
the project already uses (
bd remember learning-resource-location "<path> (<what for>)"if beads, else areference-type memory file) so it's only asked once per project.
This same lookup also covers the exercises-root (step 5) — the location is stable per project even though where a given capture fits inside it is not.
2. Read the target location's own conventions
Read that location's CLAUDE.md (or README.md if no CLAUDE.md) to learn its actual
structure: cheat-sheet file names/paths, style contract, exercise/GOAL.md format, any
regen command (e.g. a TOC generator). Do not bring in assumptions from any other stack —
every convention comes from what's read here, every session.
No CLAUDE.md/README.md yet (first capture at this location) → ask the user briefly
for format preferences and suggest writing a minimal convention doc for next time, so the
next capture doesn't have to ask again.
3. Check existing coverage
Grep the relevant reference file(s)' headings/TOC for the concept. Already covered → propose an amendment, not a duplicate section.
4. Draft the cheat-sheet addition
Follow the target location's own style contract exactly (terseness, example format, citation format, whatever it specifies) — never apply a generic style. Use different data/examples than that location's own exercises use, if it has that rule.
Show the draft and stop. Do not write until the user approves. If the cheat sheet didn't already cover this and the wording needs iteration, iterate on the draft with the user rather than settling for a one-shot explanation.
On approval: write it, then run the location's regen/TOC command if one exists.
5. Optionally propose an exercise
Ask whether this warrants a new exercise step, or a new exercise. If yes:
- Never infer placement. Show the existing exercise list/order and ask the user where this fits (which exercise it's a step of, or where a new one slots in relative to the others). Ordering is a curriculum judgment (prerequisites, difficulty progression) — not derivable from file structure.
- First exercise insertion ever at this location → also ask how mid-sequence inserts
should be handled structurally (renumber trailing exercises vs. a suffix like
04b-name), and write the answer into that location'sCLAUDE.mdso future captures don't re-ask. - Scaffold only on explicit yes, using the exercise/GOAL.md conventions read in step 2.
Non-goals
- Never write code for the user inside the target location's exercises — same prime
directive as any tutoring context, if the target location has one (check its
CLAUDE.md). - Never invent a cheat-sheet style not already established at the target location.
- Never touch the current project's own source — this skill only writes to the paired learning-resource location.
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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.

