Inversion Exercise
Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?
npx skills add majiayu000/claude-skill-registry --skill inversion-exercise-agentgptsmith-monadframework --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 1. **List core assumptions** - What "must" be true? 2. **Invert each systematically** - "What if opposite were true?" 3. **Explore implications** - What would we do differently? 4. **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 l
- Overview
- Quick Reference
- Process
- Example
- Red Flags You Need This
- Remember
What does the Inversion Exercise skill do?
Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill inversion-exercise-agentgptsmith-monadframework --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.