---
name: context-window-to-skill
description: Takes the active conversation as reference to understand how a skill can be created, with all th…
category: other
runtime: no special runtime
---

# context-window-to-skill output preview

## PART A: Task fit
- Use case: Takes the active conversation as reference to understand how a skill can be created, with all the lessons learned from the users need in the conversation. User had finished working on his feature or task successfully, but had to tweak lots of stuff in the behavior of the agent prior to completion - we now want to create a skill that in the next time will ….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Decide Fit First / Design Intent / How To Use It” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Takes the active conversation as reference to understand how a skill can be created, with all the lessons learned from the users need in the conversation. User had finished working on his feature or task successfully, but had to tweak lots of stuff in the behavior of the agent prior to completion - we now want to create a skill that in the next time will …”.
- **02** When the source has headings, the agent prioritizes “Decide Fit First / Design Intent / How To Use It” 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; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files; 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.