predictive-analytics
ML-based estimation patterns, confidence intervals, and predictive modeling. Reference this skill when forecasting costs or time.
npx skills add majiayu000/claude-skill-registry --skill predictive-analytics --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.
# Predictive Analytics Skill # Project Autopilot - ML estimation patterns # Copyright (c) 2026 Jeremy McSpadden <jeremy@fluxlabs.net> Patterns for accurate predictive estimation using historical data. --- ## Estimation Fundamentals ### The Estimation Pipeline ``` ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ Feature │ → │ Similar │ → │ Base │ │ Analysis │ │ Projects │ │ Estimate │ └──────────────┘ └──────────────┘ └──────────────┘ │ │ │ ▼ ▼ ▼ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ Adjustment │ → │ Confidence │ → │ Final │ │ Factors │ │ Interval │ │ Estimate │ └──────────────┘ └──────────────┘ └──────────────┘ ``` ### Key Principles 1. **Historical Basis** - All estimates start from historical data 2. **Similarity Matching** - Find most relevant comparisons 3. **Adjustment Factors** - Account for project-specific differences 4. **Confidence Intervals** - Express uncertainty explicitly 5. **Continuous Learning** - Update models with actuals --- ## Feature Analysis ### Complexity Factors | Factor | Weight | Scoring | |--------|--------|---------| | Data Models | 0.20 | # of entities × 0.5 | | API Endpoints | 0.25 | # of endpoints × 0.3 | | UI Components | 0.20 | #
- Estimation Fundamentals
- The Estimation Pipeline
- Key Principles
- Feature Analysis
- Complexity Factors
- Complexity Score Calculation
- Complexity Tiers
- Similarity Matching
- Similarity Score Algorithm
- Minimum Similarity Threshold
- Base Estimate Calculation
- Weighted Historical Average
- Phase-Based Estimation
- Adjustment Factors
What does the predictive-analytics skill do?
ML-based estimation patterns, confidence intervals, and predictive modeling. Reference this skill when forecasting costs or time.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill predictive-analytics --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.