135 lines
4.2 KiB
Markdown
135 lines
4.2 KiB
Markdown
# Domain Examples
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Concrete examples for extracting domain config and generating evolution scaffolding. Use these as reference when enhancing skills.
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---
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## Example 1: 洗稿能手 (Content Rewriting Skill)
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**Domain**: 文案 / 口播 / 短视频脚本改写
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### Capability & Scenario Analysis
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- **Capabilities**: Rewrite text for different formats (文案, 口播, 短视频); adapt style by scene (科普, 汇报, 直播)
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- **Scenarios**: User provides source text; requests rewrite for specific format/scene; may correct style
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- **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
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### Domain Config
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```markdown
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## Domain
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- Name: 洗稿能手
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- Use cases: 科普, 汇报, 直播, 短视频脚本, 口播稿
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- Areas: 文案 | 口播 | 短视频脚本 | 科普 | 汇报 | 直播
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- Language: zh
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## Learning Triggers
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- "改得不通顺"
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- "不像口播"
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- "风格不对"
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- "太书面了"
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- "读起来不顺"
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- "语气不对"
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## Error Triggers
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- 改写后用户多次要求重改
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- 风格与场景不匹配（如科普写成汇报风）
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- 口播稿读起来拗口
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## Promotion Targets
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- 洗稿能手-专属进化规则.md
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- 洗稿能手-最佳实践.md
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```
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### Generated EVOLUTION.md Quick Reference
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| Situation | Action |
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|-----------|--------|
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| 用户说"改得不通顺" | Log to `.learnings/LEARNINGS.md` with category `style_mismatch` |
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| 用户说"不像口播" | Log to `.learnings/LEARNINGS.md` with category `scene_adaptation` |
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| 用户说"风格不对" | Log to `.learnings/LEARNINGS.md` with category `correction` |
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| 改写后多次重改 | Log to `.learnings/ERRORS.md` |
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| 风格与场景不匹配 | Log to `.learnings/LEARNINGS.md` with area 科普/汇报/直播 |
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### Domain Categories
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- correction
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- style_mismatch
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- scene_adaptation
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- best_practice
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- knowledge_gap
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### Activation Conditions
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- User says "改得不通顺", "不像口播", "风格不对"
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- User requests rewrite for a specific scene (科普/汇报/直播)
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---
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## Example 2: 电脑加速 (PC Optimization Skill)
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**Domain**: Windows 优化 / 卡慢 / 卡顿
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### Capability & Scenario Analysis
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- **Capabilities**: System optimization, startup speed, memory release; diagnose slowdowns
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- **Scenarios**: User reports slow PC; agent suggests optimizations; some may fail or cause issues
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- **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
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### Domain Config
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```markdown
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## Domain
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- Name: 电脑加速
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- Use cases: 系统优化, 卡顿排查, 启动加速, 内存释放
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- Areas: 系统优化 | 卡顿 | 报错 | 兼容性 | 安全
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- Language: zh
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## Learning Triggers
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- "优化无效"
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- "某些电脑不适用"
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- "这样改有问题"
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- "上次的方法不行"
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## Error Triggers
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- 优化后系统报错
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- 某些电脑/系统版本不适用
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- 操作导致异常或蓝屏
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- 命令执行失败
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## Promotion Targets
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- 电脑加速-安全规范.md
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- 电脑加速-最佳实践.md
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```
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### Generated EVOLUTION.md Quick Reference
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| Situation | Action |
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|-----------|--------|
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| 用户说"优化无效" | Log to `.learnings/ERRORS.md` with area 系统优化 |
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| 用户说"某些电脑不适用" | Log to `.learnings/LEARNINGS.md` with category `knowledge_gap` |
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| 优化后报错 | Log to `.learnings/ERRORS.md` with area 报错 |
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| 发现安全风险 | Log to `.learnings/LEARNINGS.md`, promote to 电脑加速-安全规范.md |
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### Domain Categories
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- correction
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- knowledge_gap
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- best_practice
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- safety_constraint
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### Activation Conditions
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- User reports "优化无效", "报错", "某些电脑不适用"
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- After suggesting optimization steps
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---
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## Extraction Tips
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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".
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2. **Coding skills**: Use areas like frontend | backend | infra if the skill is coding-related; otherwise use domain-specific areas.
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3. **Safety-critical domains** (e.g., 电脑加速): Always include a 安全规范 promotion target.
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4. **Style domains** (e.g., 洗稿能手): Include style_mismatch, scene_adaptation categories.
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5. **Language**: Infer from SKILL.md; generate all output in that language.
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