---
name: erne-learn
description: ERNE — Manual skill generation — runs continuous-learning-v2 scripts to extract patterns from se…
category: data
runtime: Node.js
---

# erne-learn output preview

## PART A: Task fit
- Use case: ERNE — Manual skill generation — runs continuous-learning-v2 scripts to extract patterns from session You are executing the /erne-learn command. This is script-driven — it runs the continuous-learning-v2 pipeline directly. runs entirely locally; runs on Node.js. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “What This Does / Process / When to Use” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “ERNE — Manual skill generation — runs continuous-learning-v2 scripts to extract patterns from session You are executing the /erne-learn command. This is script-driven — it runs the continuous-learning-v2 pipeline directly. runs entirely locally; runs on Node.js. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “What This Does / Process / When to Use” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.