compile-topic
Skill1 starsChanged 6 months agoMITView on GitHub
Invoke topic-compiler specialist to synthesize a Karpathy-style topic note from raw sources in 11 - Sources/. Use when Andy says compile a topic, build a topic note, summarize sources on X, make a primer on Y, what do I know about Z.
In this repository28 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- auditSkill
- brainstormSkill
- commit-message-writerSkill
- course-builderSkill
- daily-note-writerSkill
- deck-builderSkill
- diagnoseSkill
- drift-fixSkill
- forgeSkill
- git-bootstrapSkill
- grill-with-docsSkill
- handoffSkill
- improve-codebase-architectureSkill
- lesson-content-writerSkill
- project-scaffolderSkill
- prototypeSkill
- retroSkill
- reviveSkill
- setup-pre-commitSkill
- specialist-creatorSkill
- sweep-inboxSkill
- tddSkill
- to-issuesSkill
- to-prdSkill
- triageSkill
- workflow-authorSkill
- zoom-outSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
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 27
Read every source. Extract key claims, definitions, examples, contradictions.
- Distinctive: line 55
Don't write from training knowledge alone - this is source-grounded synthesis
- Distinctive: line 56
Don't skip contradictions between sources - surface them, don't paper over
- Distinctive: line 57
Don't make it longer than the sources warrant - density beats length
- Distinctive: line 58
Don't auto-tag - tags are Andy's call
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Compile Topic
Wrapper for [[03 - Skills & Rules/Agents/Specialists/topic-compiler|topic-compiler specialist]]. Builds a coherent topic note in 10 - Topics/ from raw clipped sources.
When to use
Triggers: compile a topic, build a topic note, summarize sources on X, make a primer on Y, what do I know about Z, synthesize these sources.
Load
03 - Skills & Rules/Agents/Specialists/topic-compiler.md- canonical spec11 - Sources/- raw inputs (Web Clipper destination)- An existing topic note as style reference: pick any from
10 - Topics/AI/or related domain 03 - Skills & Rules/Agents/memory/Archivist/universal.md- Karpathy-wiki tone
Confirm inputs
- Topic name (becomes file slug)
- Source list - paths, a glob like
11 - Sources/2026-05-*, or "everything tagged X" - Audience - just-me notes vs. shareable explainer
- Domain folder under
10 - Topics/(AI, Game Dev, etc.) - create if doesn't exist
Run
- Flip topic-compiler to
status: active - Read every source. Extract key claims, definitions, examples, contradictions.
- Group by sub-theme. Identify the spine of the topic (3-5 main sections).
- Draft the note in Karpathy style: dense, linked, definitions inline, examples concrete, no fluff.
- Cite each source via
[[11 - Sources/<file>]]wikilinks. Every non-obvious claim cites.
Output
10 - Topics/<Domain>/<topic-slug>.md with frontmatter:
---
type: topic
created: <MM-DD-YY>
domain: <Domain>
sources: [<list of source wikilinks>]
status: draft | reviewed
tags: [topic, <domain-tag>]
---Body sections: intro, main concepts (each subsectioned), open questions, related topics, sources.
After
- Cross-link from related existing topic notes
- Append Activity Log row
- Flip topic-compiler to
status: idle - Provide
[Open topic note](computer://...)link
Don't
- Don't write from training knowledge alone - this is source-grounded synthesis
- Don't skip contradictions between sources - surface them, don't paper over
- Don't make it longer than the sources warrant - density beats length
- Don't auto-tag - tags are Andy's call
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.

