knowledge-capture
Skill7 starsChanged 19 days agoMITView on GitHub
Capture takeaways from a book, podcast, article, or conversation. Trigger on "capture this", "log this", "capture notes from", "what I learned from", "book notes for", "takeaways from", "save this insight", "I just read", "I just listened to", "key points from", or any variation of knowledge capture and learning extraction. Also fires when the user shares raw notes or highlights and wants them organized.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- tderoussel/agent-skillstheir own version, first seen Nov 1, 2026
- ravidsrk/agent-skillstheir own version, first seen Nov 1, 2026
- NoobyGains/godmodetheir own version, first seen Nov 1, 2026
- NashEQify/forgetheir own version, first seen Oct 25, 2026
- hangljoe/AI-PreSales-Skillstheir own version, first seen Sep 28, 2026
- Empty8492/knowledge-capturetheir own version, first seen Aug 7, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- NoobyGains/godmode★ 118same name
- basicmachines-co/basic-memory-plugins★ 9same name
- bordenet/superpowers-plus★ 8same name
- Empty8492/knowledge-capture★ 2same name
- NashEQify/forge★ 2same name
- hangljoe/AI-PreSales-Skills★ 1same name
- ravidsrk/agent-skills★ 1same name
- tderoussel/agent-skills★ 1same name
- stevancris/sre-ai-agent★ 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 repository100 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- notion-package/CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- add-handsSkill
- add-mouthSkill
- add-voiceSkill
- approval-gatesSkill
- auditSkill
- backupSkill
- blind-spot-reviewSkill
- bottleneck-diagnosticSkill
- brain-logSkill
- brain-passSkill
- brain-snapshotSkill
- brand-interviewSkill
- brand-voice-interviewSkill
- business-context-loaderSkill
- campaign-from-themeSkill
- capture-sweepSkill
- catch-upSkill
- client-updateSkill
- connectSkill
- content-repurposerSkill
- content-startSkill
- context-persistenceSkill
- cross-linkSkill
- data-securitySkill
- decision-frameworkSkill
- decisions-startSkill
- delivery-startSkill
- email-drafterSkill
- employee-reviewSkill
- finance-importSkill
- forcing-questionsSkill
- founder-coachingSkill
- founder-next-moveSkill
- founder-os-setupSkill
- founder-reviewSkill
- founder-scope-challengeSkill
- github-opsSkill
- handoff-protocolSkill
- hireSkill
- historySkill
- housekeepingSkill
- ingestSkill
- legal-complianceSkill
- linkedin-brand-directionSkill
- linkedin-network-scanSkill
- linkedin-postSkill
- linkedin-power-auditSkill
- linkedin-startSkill
- linkedin-warm-revivalSkill
- lintSkill
- list-prunerSkill
- log-archiveSkill
- log-replySkill
- meeting-prepSkill
- memory-passSkill
- menuSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 4 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Every captured knowledge piece writes to brain/knowledge/<topic-slug>.md.
- Very specific: line 50
Use raw/ only when preserving the full source matters.
- Very specific: line 56
Read roles/employees.yaml if it exists, and compare the note's subject against each row's job_description.
- Very specific: line 62
Yes: - add seats: <id> to the note's frontmatter, then run python scripts/agents_sync.py apply.
- Distinctive: line 64
No obvious match: - ask nothing and write nothing.
- Distinctive: line 69
Never tag as a side effect of capturing: No yes, no field. Sessions propose, only you promote - the same rule the registry itself runs on.
- Very specific: line 71
A retired seat keeps its tags: Never strip a seats: value because the row is gone.
- Distinctive: line 77
If the snapshot is missing, run:
- Very specific: line 87
Every new knowledge file gets a stable ID at write time.
- Very specific: line 92
Read every existing file under brain/knowledge/ plus the README.md index.
- Distinctive: line 102
If a knowledge file already exists and you are appending a new dated section to it, do not change the file's existing ID.
- Very specific: line 175
Before persisting anything to a file, scan the source text for <private>...</private> blocks (case-insensitive).
“Common” is measured: kept by at least 6 in 10 of the 8 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
Knowledge Capture
Runs on: local-writes - creates or edits files in your OS folder; needs an agent with write access.
Storage Convention
Every captured knowledge piece writes to brain/knowledge/<topic-slug>.md. If the file exists, append a dated section. If it does not exist, create it with frontmatter. Every new knowledge file gets a stable ID per rules/entry-conventions.md (channel: know).
---
id: know-YYYY-MM-DD-NNN
topic: <slug>
captured: <YYYY-MM-DD>
sources: [source title or URL]
tags: [book, podcast, article, conversation, experiment]
seats: <seat id, or none> # optional - see Route it to a seat below
---
# <Topic>
## Takeaways
- <point>
## How this applies to my work
- <application>Also update brain/knowledge/README.md index table with one row. The columns are fixed:
| ID | Topic | Captured | Tags | Source |
|---|---|---|---|---|
| know-YYYY-MM-DD-NNN | <slug> | <YYYY-MM-DD> | <comma-separated tags> | <source title or URL> |Insert the new row directly under the header. Do not invent additional columns. Ask for a topic slug if it is not obvious from the source title.
Use raw/ only when preserving the full source matters. Use brain/knowledge/ for distilled notes that future skills should read.
Route it to a seat (after the note is written, one question, at most one seat)
The note exists. Now the one question that makes it compound instead of settling: does anyone on your org chart need to know this?
Read roles/employees.yaml if it exists, and compare the note's subject against each row's job_description. If exactly one row obviously covers it, ask ONE line and nothing more:
This reads like it belongs to the account manager (
client-status). Route it there?
Then:
- Yes - add
seats: <id>to the note's frontmatter, then runpython scripts/agents_sync.py apply. That seat's read-list now carries a pointer to this note: id, topic and path, never the body. It reads the file itself when it runs. - No - write
seats: none. That is a tombstone, not a shrug. It records that the note was reviewed and deliberately routed to nobody, so no later sweep raises it again. A declined note that leaves no record comes back every morning until you stop reading the mornings. - No obvious match - ask nothing and write nothing. An absent field is a valid state meaning never reviewed, and the morning loop may raise it once, later, when a slot is free.
Four rules on top:
- At most one seat, and at most one question. A note routed to four seats is a note routed to nobody, and a second question turns a capture into an interview.
- Never tag as a side effect of capturing. No yes, no field. Sessions propose, only you promote - the same rule the registry itself runs on.
- No registry, no question. An install with no
roles/employees.yamlhas no seats to route to, and asking about one is noise. - A retired seat keeps its tags. Never strip a
seats:value because the row is gone;agents_sync checknames it as a dangling tag and leaves it, in case the seat comes back.
Brain context (default)
Before producing output, read brain/.snapshot.md. If it is missing, or its date: line is more than 3 days old, run python scripts/brain-snapshot.py --write first and read the fresh one - a stale snapshot read as current presents last week's flags and must-dos as today's, which is worse than no memory at all. If Python is unavailable, proceed without it and say so.
If the snapshot is missing, run:
python scripts/brain-snapshot.py --writeThen read it. If the snapshot script is also missing (older install), proceed using only the profile files. Do not block.
The snapshot tells you what flags are open, what the user is working on this week, and what the latest staleness state is. Apply this context to your output where it is relevant. Do not surface every snapshot field in every output - use judgment. For knowledge capture, recent decisions and open flags tell you which threads to cross-reference - a new note that connects to an active flag is more valuable than a standalone summary.
ID Stamping
Every new knowledge file gets a stable ID at write time. Convention spec: rules/entry-conventions.md.
Procedure (run before creating any new knowledge file)
- Compute today's date in
YYYY-MM-DD. - Read every existing file under
brain/knowledge/plus theREADME.mdindex. Find every ID that matchesknow-<today>-<NNN>. - Take the highest
<NNN>. If none exist for today, start at001(the first ID of the day for this channel) and skip to step 5. - Increment by 1. Format as 3-digit zero-padded.
- The result is the new file's ID. Stamp it in the file's frontmatter and in the index row.
Counter rules
- Per channel, per day. Resets to
001each new day. - IDs are stamped at write time, never retroactively.
- IDs are case-sensitive lowercase only.
- If a knowledge file already exists and you are appending a new dated section to it, do not change the file's existing ID. The ID belongs to the file, not to each appended section.
Book / Long-Form Content
BOOK: [Title]
Author: [Name]
Date captured: [Date]
---
CORE THESIS
[One paragraph. What is this book really saying?]
KEY IDEAS
1. [Idea] - [Why it matters to the founder's work]
2. [Idea] - [Why it matters]
3. [Idea] - [Why it matters]
QUOTES WORTH KEEPING
- "[Quote]" (p. XX)
DISAGREE / QUESTION
[Anything that didn't land or needs more thinking]
APPLY TO
-> Business: [How this connects to the company or model]
-> Clients: [How this helps in client conversations]
-> Content: [Could this become a post, video, or playbook chapter?]
-> Personal: [Does this change how you work or lead?]Podcast / Talk / Conversation
SOURCE: [Podcast name / Speaker / Event]
Date: [Date]
---
KEY TAKEAWAYS
1. [Takeaway]
2. [Takeaway]
MEMORABLE MOMENTS
- [Something that stood out]
APPLY TO
-> [Same structure as book notes]Quick Insight Capture
INSIGHT: [Date]
[The insight in one to three sentences]
TRIGGERED BY: [What prompted this]
CONNECTS TO: [Existing work, a project, a content idea]Connection Mapping
Always ask:
- Does this challenge something the founder currently believes?
- Does this support or challenge the current business model?
- Could this become a playbook chapter or framework?
- Would a specific client benefit from hearing this?
- Is there a content opportunity here?
Private tag filter
Before persisting anything to a file, scan the source text for <private>...</private> blocks (case-insensitive). Remove every matched block (including the tags) from the text before writing. If the entire input is wrapped in <private>, write nothing and report "skipped - content was tagged private."
Formatting
- Simple hyphens (-) not em or en dashes
- Arrows (->) for application mapping
- Quotes in quotation marks with page numbers when available
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.

