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#ai
inversion-exercise
Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?"
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=mrgoonie-claudekit-skills-claude-skills-problem-solving-inversion-exercise-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name Inversion Exercise description Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?" when_to_use when stuck on unquestioned assumptions or feeling forced into "the only way" to do something version 1.1.0 Inversion Exercise Overview Flip every assumption and see what still works. Sometimes the opposite reveals the truth. Core principle: Inversion exposes hidden assumptions and alternative approaches. Quick Reference Normal Assumption Inverted What It Reveals Cache to reduce latency Add latency to enable caching Debouncing patterns Pull data when needed Push data before needed Prefetching, eager loading Handle errors when occur Make errors impossible Type systems, contracts Build features users want Remove features users don't need Simplicity >> addition Optimize for common case Optimize for worst case Resilience patterns Process List core assumptions - What "must" be true? Invert each systematically - "What if opposite were true?" Explore implications - What would we do differently? Find valid inversions - Which actually work somewhere? Example Problem: Users complain app is slow Normal approach: Make everything faster (caching, optimization, CDN) Inverted: Make things intentionally slower in some places Debounce search (add latency → enable better results) Rate limit requests (add friction → prevent abuse) Lazy load content (delay → reduce initial load) Insight: Strategic slowness can improve UX Red Flags You Need This "There's only one way to do this" Forcing solution that feels wrong Can't articulate why approach is necessary "This is just how it's done" Remember Not all inversions work (test boundaries) Valid inversions reveal context-dependence Sometimes opposite is the answer Question "must be" statements
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该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |