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Skill2.9k repo starsupdated 28d ago

learn-rule

The learn-rule skill captures mistakes and lessons as persistent, reusable rules organized by category (Navigation, Editing, Testing, Git, Quality, Context, Architecture, Performance). It activates when users explicitly request it with phrases like "remember this" or "don't forget," formats the rule with mistake context and correction, waits for user approval before storing, and supports wiki-specific scoping to prevent cross-project contamination. Use this after identifying errors or when establishing important patterns the workflow should internalize for future sessions.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/rohitg00/pro-workflow /tmp/learn-rule && cp -r /tmp/learn-rule/skills/learn-rule ~/.claude/skills/learn-rule
Then start a new Claude Code session; the skill loads automatically.

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

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

## Format

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

### Wiki-scoped rules

Append `Wiki: <slug>` to bind the rule to a single pro-workflow wiki. The rule loads only when that wiki is in scope, avoiding cross-project pollution:

```
[LEARN] Editing: Cite a sources.md row before adding any wiki claim.
Wiki: agent-memory
```

The capture hook auto-detects `Wiki: <slug>` and links the learning to that wiki via `learnings_wiki`.

## Categories

| 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 |

## 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
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batch-orchestrationSkill

Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.

bug-captureSkill

Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".

compact-guardSkill

Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.

context-engineerSubagent

Analyzes and optimizes context window usage across sessions. Use when context feels bloated, sessions run slow, or approaching compaction limits.

context-engineeringSkill

Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.

context-optimizerSkill

Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.