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my-project/config/openclaw/skills/skill-self-evolution-enhancer.bak/references/domain-examples.md
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Domain Examples

Concrete examples for extracting domain config and generating evolution scaffolding. Use these as reference when enhancing skills.


Example 1: 洗稿能手 (Content Rewriting Skill)

Domain: 文案 / 口播 / 短视频脚本改写

Capability & Scenario Analysis

  • Capabilities: Rewrite text for different formats (文案, 口播, 短视频); adapt style by scene (科普, 汇报, 直播)
  • Scenarios: User provides source text; requests rewrite for specific format/scene; may correct style
  • Evolution directions: User feedback on style ("不通顺", "不像口播") → learn scene-specific preferences; recurring corrections → promote to 专属进化规则

Domain Config

## Domain
- Name: 洗稿能手
- Use cases: 科普, 汇报, 直播, 短视频脚本, 口播稿
- Areas: 文案 | 口播 | 短视频脚本 | 科普 | 汇报 | 直播
- Language: zh

## Learning Triggers
- "改得不通顺"
- "不像口播"
- "风格不对"
- "太书面了"
- "读起来不顺"
- "语气不对"

## Error Triggers
- 改写后用户多次要求重改
- 风格与场景不匹配(如科普写成汇报风)
- 口播稿读起来拗口

## Promotion Targets
- 洗稿能手-专属进化规则.md
- 洗稿能手-最佳实践.md

Generated EVOLUTION.md Quick Reference

Situation Action
用户说"改得不通顺" Log to .learnings/LEARNINGS.md with category style_mismatch
用户说"不像口播" Log to .learnings/LEARNINGS.md with category scene_adaptation
用户说"风格不对" Log to .learnings/LEARNINGS.md with category correction
改写后多次重改 Log to .learnings/ERRORS.md
风格与场景不匹配 Log to .learnings/LEARNINGS.md with area 科普/汇报/直播

Domain Categories

  • correction
  • style_mismatch
  • scene_adaptation
  • best_practice
  • knowledge_gap

Activation Conditions

  • User says "改得不通顺", "不像口播", "风格不对"
  • User requests rewrite for a specific scene (科普/汇报/直播)

Example 2: 电脑加速 (PC Optimization Skill)

Domain: Windows 优化 / 卡慢 / 卡顿

Capability & Scenario Analysis

  • Capabilities: System optimization, startup speed, memory release; diagnose slowdowns
  • Scenarios: User reports slow PC; agent suggests optimizations; some may fail or cause issues
  • Evolution directions: "优化无效", "某些电脑不适用" → learn environment-specific solutions; safety issues → promote to 安全规范

Domain Config

## Domain
- Name: 电脑加速
- Use cases: 系统优化, 卡顿排查, 启动加速, 内存释放
- Areas: 系统优化 | 卡顿 | 报错 | 兼容性 | 安全
- Language: zh

## Learning Triggers
- "优化无效"
- "某些电脑不适用"
- "这样改有问题"
- "上次的方法不行"

## Error Triggers
- 优化后系统报错
- 某些电脑/系统版本不适用
- 操作导致异常或蓝屏
- 命令执行失败

## Promotion Targets
- 电脑加速-安全规范.md
- 电脑加速-最佳实践.md

Generated EVOLUTION.md Quick Reference

Situation Action
用户说"优化无效" Log to .learnings/ERRORS.md with area 系统优化
用户说"某些电脑不适用" Log to .learnings/LEARNINGS.md with category knowledge_gap
优化后报错 Log to .learnings/ERRORS.md with area 报错
发现安全风险 Log to .learnings/LEARNINGS.md, promote to 电脑加速-安全规范.md

Domain Categories

  • correction
  • knowledge_gap
  • best_practice
  • safety_constraint

Activation Conditions

  • User reports "优化无效", "报错", "某些电脑不适用"
  • After suggesting optimization steps

Extraction Tips

  1. Sparse skills: If the target skill has little content, infer from the name and description. Add generic triggers like "用户纠正", "操作失败".
  2. Coding skills: Use areas like frontend | backend | infra if the skill is coding-related; otherwise use domain-specific areas.
  3. Safety-critical domains (e.g., 电脑加速): Always include a 安全规范 promotion target.
  4. Style domains (e.g., 洗稿能手): Include style_mismatch, scene_adaptation categories.
  5. Language: Infer from SKILL.md; generate all output in that language.