learning-review
Skill1 starsChanged 44 days agoMITView on GitHub
Review accumulated lessons and evidence, identify durable strengths and gaps, and create a focused reinforcement plan.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- nicolas-diez/personal-ostheir own version, first seen Nov 8, 2026
- swenbo1-web/agents-learningtheir own version, first seen Oct 25, 2026
- rikilamadrid/lorekeeperword for word, first seen Oct 13, 2026
- joelaharris98/legal-ai-engineering-labtheir own version, first seen Sep 3, 2026
- brianbolze/truffletheir own version, first seen Jun 25, 2026
Other versions5 projects use a version of this.
Word for word · 1
- rikilamadrid/lorekeeper★ 1100% same
Edited · 0
None found.
Wrote their own version · 4
- nicolas-diez/personal-os★ 4same name
- joelaharris98/legal-ai-engineering-lab★ 2same name
- brianbolze/truffle★ 1same name
- swenbo1-web/agents-learning★ 1same 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 repository53 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- blog-post-redactorSkill
- challenge-meSkill
- debate-meSkill
- debug-issueSkill
- handoffSkill
- hooksmithSkill
- kickstart-pathfinderSkill
- learn-codebaseSkill
- learn-featureSkill
- learning-reviewSkill
- map-systemSkill
- orchestrateSkill
- prototypeSkill
- quiz-meSkill
- reflectSkill
- render-artifactSkill
- reverse-engineerSkill
- roleSkill
- setup-trackerSkill
- skillsmithSkill
- teach-architectureSkill
- teach-featureSkill
- ticketSkill
- to-specsSkill
- to-ticketsSkill
- whereamiSkill
- blog-post-redactorSkill
- challenge-meSkill
- debate-meSkill
- debug-issueSkill
- handoffSkill
- hooksmithSkill
- kickstart-pathfinderSkill
- learn-codebaseSkill
- learn-featureSkill
- map-systemSkill
- orchestrateSkill
- prototypeSkill
- quiz-meSkill
- reflectSkill
- render-artifactSkill
- reverse-engineerSkill
- roleSkill
- setup-trackerSkill
- skillsmithSkill
- teach-architectureSkill
- teach-featureSkill
- ticketSkill
- to-specsSkill
- to-ticketsSkill
- whereamiSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Use this skill periodically, not after every tiny change.
- Distinctive: line 46
Only claims supported by evidence.
- Very specific: line 70
Update context/learning/progress.md conservatively, using the confidence scale defined in its ## Confidence Scale section.
- Distinctive: line 76
Do not equate code generated by an agent with knowledge demonstrated by the learner.
- Distinctive: line 77
Do not create a giant curriculum.
- Distinctive: line 78
Do not assign busywork.
- Distinctive: line 79
Prefer reinforcement through upcoming product features.
“Common” is measured: kept by at least 6 in 10 of the 3 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
Learning Review
Use this skill periodically, not after every tiny change.
The goal is to turn isolated feature lessons into a coherent learning path.
Read First
context/learning/progress.md- Recent lessons under
context/learning/lessons/ - Recent completed feature specs and history
- Quiz or challenge evidence available in the repo
Skip any of these that does not exist. Pathfinder creates these files only when a workflow first needs them, so their absence is normal and is not an error. Do not create them just to satisfy this list.
Review Modes
feature
Review all learning evidence for one feature.
weekly
Summarize recent concepts, repeated gaps, and one reinforcement plan.
interview
Translate demonstrated project experience into interview-ready stories and identify claims that are not yet supported by evidence.
concept
Review one concept across several features to determine whether understanding transfers.
Output
Return:
Demonstrated Strengths
Only claims supported by evidence.
Developing Areas
Where understanding is partial or assisted.
Misconceptions or Missing Evidence
Be direct and specific.
Connections Across Features
Show how concepts reinforce each other.
Interview Stories
For relevant work, produce concise STAR-style outlines without inventing business impact.
Next Three Learning Moves
At most three, ordered by value.
Progress Changes
Update context/learning/progress.md conservatively, using the confidence scale
defined in its ## Confidence Scale section. If the file does not exist,
quiz-me carries the header to create it with.
Rules
- Do not equate code generated by an agent with knowledge demonstrated by the learner.
- Do not create a giant curriculum.
- Do not assign busywork.
- Prefer reinforcement through upcoming product features.
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.