Agent skill

inevitability-engine

Systematic research protocol for discovering novel AI-native software businesses in the synthetic workforce era. Maps capability trajectories, analyzes segment-problem spaces, generates business models, and calculates inevitability scores across 3-24 month time horizons. Use when exploring AI business opportunities, conducting market research, or identifying automation-native ventures.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill inevitability-engine-leegonzales-aiskills-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 16 KB
Bundled scripts: none
Path: skills/analysis/inevitability-engine-leegonzales-aiskills-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# The Inevitability Engine A research protocol for discovering novel software businesses that become inevitable due to AI capability improvements. ## Core Philosophy **Thesis**: We're witnessing the **first-ever inversion of the tool adaptation curve**. Historically, humans adapted to tools faster than tools evolved. Now, tools (LLMs) evolve faster than humans can adapt. This creates a **capability overhang** that unlocks previously impossible business models. **Three forcing functions:** 1. **Context window explosion** (4K → 128K → 2M tokens in 24 months) 2. **Inference cost collapse** (~90% reduction/year) 3. **Tool-use reliability** (function calling: 60% → 95%+ in 18 months) **Result**: The "synthetic worker" isn't metaphor—it's **infrastructure**. Companies will hire, fire, eval, and SLA these entities. The opportunity lies in **tooling, governance, coordination, and domain specialization** of this new workforce layer. --- ## Quick Start **What do you want to do?** 1. **Full discovery process** → Continue to Core Workflow (execute all 6 phases) 2. **Map AI capabilities** → Jump to Phase 1: Capability Frontier Mapping 3. **Find pain points** → Jump to Phase 2: Opportunity Disco

What's inside
Steps it walks through
  1. Core Philosophy
  2. Quick Start
  3. Core Workflow
  4. Phase 1: Capability Frontier Mapping
  5. Phase 2: Opportunity Discovery (Segment-Problem Analysis)
  6. Phase 3: Business Model Generation
  7. Phase 4: Market Validation
  8. Phase 5: Inevitability Scoring
  9. Phase 6: Synthesis & Output
  10. Key Frameworks
  11. Wardley Evolution Axis
  12. Time-Horizon Capability Unlocks
  13. Synthetic Worker Primitives
  14. Research Protocol Patterns
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the inevitability-engine skill do?

Systematic research protocol for discovering novel AI-native software businesses in the synthetic workforce era. Maps capability trajectories, analyzes segment-problem spaces, generates business models, and calculates inevitability scores across 3-24 month time horizons. Use when exploring AI business opportunities, conducting market research, or identifying automation-native ventures.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill inevitability-engine-leegonzales-aiskills-2 --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.

Keep going