consolidate-learnings
Skill0 starsChanged 8 months agoMITView on GitHub
Weekly review of learnings.md. Merge duplicates, promote validated patterns, archive stale entries.
In this repository19 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- commitSkill
- dailySkill
- debugSkill
- handoffSkill
- init-projectSkill
- learnings-loopSkill
- optimizeSkill
- planSkill
- project-detectorSkill
- quick-researchSkill
- reflectSkill
- reviewSkill
- scaffoldSkill
- session-memorySkill
- strategic-compactSkill
- teachSkill
- testSkill
- wrapSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
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 18
Archive: Remove entries older than 30 days that were never re-validated
≈ “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
Current Learnings
!cat learnings.md 2>/dev/null || echo "No learnings.md found"
Current CLAUDE.md
!cat CLAUDE.md 2>/dev/null | head -30
Instructions
- Merge duplicates: Combine entries describing the same learning
- Validate: Mark entries confirmed across 3+ sessions as HIGH confidence
- Promote: Move HIGH-confidence, broadly-applicable patterns to CLAUDE.md or rules/
- Archive: Remove entries older than 30 days that were never re-validated
- Organize: Group by category (Convention, Pattern, Failure, Decision, Reference, Guide)
- Summarize: Report what was promoted, merged, and archived
Show proposed changes before applying.
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.