startup-trend-prediction
Analyze 2-3 year historical trends in technology, market, and business models to predict 1-2 years ahead. Uses pattern recognition, adoption curves, and cycle analysis to identify timing windows and emerging opportunities. History is cyclical - products and markets follow predictable patterns.
Profile →npx skills add majiayu000/claude-skill-registry --skill startup-trend-prediction-vasilyu1983-ai-agents-public --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.
# Startup Trend Prediction Systematic framework for analyzing historical trends to predict future opportunities. Look back 2-3 years to predict 1-2 years ahead. **Modern Best Practices (Dec 2025)**: - Triangulate: require 3+ independent signals, including at least 1 primary source (standards, regulators, platform docs). - Separate leading vs lagging indicators; don’t overfit to social/media noise. - Add hype-cycle defenses: falsification, base rates, and adoption constraints (distribution, budgets, compliance). - Tie trends to a decision (enter / wait / avoid) with explicit assumptions and a review cadence. --- ## When to Use This Skill | Trigger | Action | |---------|--------| | "When should I enter this market?" | Run timing analysis | | "What's trending in [technology/market]?" | Run trend identification | | "Is this trend rising or peaking?" | Run adoption curve analysis | | "What comes after [current trend]?" | Run cycle prediction | | "Historical patterns for [topic]" | Run pattern recognition | | "2-3 year trends" or "predict 1-2 years" | Full trend prediction workflow | --- ## Quick Reference: Building a Trend View (Dec 2025) ### 1) Define the Decision - What decision are w
- When to Use This Skill
- Quick Reference: Building a Trend View (Dec 2025)
- 1) Define the Decision
- 2) Collect Signals (Leading vs Lagging)
- 3) Hype-Cycle Defenses
- 4) Market Sizing Sanity Checks
- Adoption Curve Framework
- Rogers Diffusion Model
- Position Identification
- Gartner Hype Cycle Mapping
- Cycle Pattern Library
- Technology Cycles (7-10 years)
- Market Cycles (5-7 years)
- Business Model Cycles (3-5 years)
What does the startup-trend-prediction skill do?
Analyze 2-3 year historical trends in technology, market, and business models to predict 1-2 years ahead. Uses pattern recognition, adoption curves, and cycle analysis to identify timing windows and emerging opportunities. History is cyclical - products and markets follow predictable patterns.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill startup-trend-prediction-vasilyu1983-ai-agents-public --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.