Pro-workflow learn-rule

Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says "remember this", "don't forget", "note this", or "learn from this".

install

source · Clone the upstream repo

git clone https://github.com/rohitg00/pro-workflow

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/rohitg00/pro-workflow "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/learn-rule" ~/.claude/skills/rohitg00-pro-workflow-learn-rule && rm -rf "$T"

manifest: skills/learn-rule/SKILL.md

Learn Rule

Capture a lesson from the current session into permanent memory.

Trigger

Use when the user says "remember this", "add to rules", "don't do that again", or after a mistake is identified.

Workflow

Identify the lesson — what mistake was made? What should happen instead?
Format the rule with full context.
Propose the addition and wait for user approval.
After approval, persist to LEARNED section or project memory.

Format

[LEARN] Category: One-line rule
Mistake: What went wrong
Correction: How it was fixed

Example

Recent mistake: Edited wrong utils.ts file

[LEARN] Navigation: Confirm full path when multiple files share a name.

Add to LEARNED section? (y/n)

Guardrails

Always wait for user approval before persisting.
Keep rules to one line — specific and actionable.
Bad: "Write good code". Good: "Always use snake_case for database columns".
Include the mistake context so the rule makes sense later.

Output

The proposed
```
[LEARN]
```
rule with category
Confirmation after persisting

Category	Examples
Navigation	File paths, finding code, wrong file edited
Editing	Code changes, patterns, wrong approach
Testing	Test approaches, coverage gaps, flaky tests
Git	Commits, branches, merge issues
Quality	Lint, types, style violations
Context	When to clarify, missing requirements
Architecture	Design decisions, wrong abstractions
Performance	Optimization, O(n^2) loops, memory