# Learning Review

> Review accumulated lessons and evidence, identify durable strengths and gaps, and create a focused reinforcement plan.

- Skill: `rikilamadrid/learning-review` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rikilamadrid/learning-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rikilamadrid/learning-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: rikilamadrid (https://skillmd.com/u/rikilamadrid)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rikilamadrid/learning-review

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# 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

1. `context/learning/progress.md`
2. Recent lessons under `context/learning/lessons/`
3. Recent completed feature specs and history
4. 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.