---
name: skill2gene
description: 本 Skill 自身采用 Gene 理念编写——紧凑、控制导向、面向行为而非文档。 传统 Skill 是文档导向的经验表达（~2500 tokens），优化目标是人类可读性和完整性。Strat…
category: ai
runtime: no special runtime
---

# skill2gene output preview

## PART A: Task fit
- Use case: 本 Skill 自身采用 Gene 理念编写——紧凑、控制导向、面向行为而非文档。 传统 Skill 是文档导向的经验表达（~2500 tokens），优化目标是人类可读性和完整性。Strategy Gene 是控制导向的经验表达（~200-300 tokens），优化目标是推理时行为控制的信号密度和有效性。 | gene_id | 触发信号 | 文件 | runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “核心理念 / Gene 注册表 / 转换流程” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “本 Skill 自身采用 Gene 理念编写——紧凑、控制导向、面向行为而非文档。 传统 Skill 是文档导向的经验表达（~2500 tokens），优化目标是人类可读性和完整性。Strategy Gene 是控制导向的经验表达（~200-300 tokens），优化目标是推理时行为控制的信号密度和有效性。 | gene_id | 触发信号 | 文件 | runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “核心理念 / Gene 注册表 / 转换流程” 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.