Agent skill

quantitative-management

Use when establishing measurement programs, analyzing metrics with statistical process control, setting baselines, or implementing CMMI Level 4 quantitative management - prevents vanity metrics and measurement theater

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill quantitative-management-tachyon-beep-skillpacks --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/analysis/quantitative-management-tachyon-beep-skillpacks/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

# Quantitative Management ## Purpose & Context Implements CMMI **MA** (Measurement & Analysis), **QPM** (Quantitative Project Management), and **OPP** (Organizational Process Performance) through data-driven decision making, statistical process control, and predictive analytics. **Core Principle**: Measure what matters, use data to drive decisions, distinguish signal from noise. **Avoid**: Measurement theater (tracking without action), vanity metrics (looks good but no value), gaming metrics (optimizing numbers vs processes). --- ## When to Use This Skill **Triggers**: - "What should we measure?" - "How do I know if this variation is a problem?" - "How do I establish process baselines?" - "What's the difference between Level 2, 3, and 4 measurement?" - "How do I use DORA metrics?" - "How do I implement statistical process control?" - "How do I use metrics for project decisions?" **Use this when**: - Establishing a measurement program - Moving from Level 2 → 3 → 4 - Implementing DORA metrics - Analyzing process performance - Detecting process instability - Predicting project outcomes - Making data-driven decisions **Do NOT use for**: - Platform-specific metric collection → See `plat

What's inside
Steps it walks through
  1. Purpose & Context
  2. When to Use This Skill
  3. Quick Reference: Finding What You Need
  4. Maturity Level Guidance
  5. Level 2 (Managed): Basic Tracking
  6. Level 3 (Defined): Organizational Baselines & Trends
  7. Level 4 (Quantitatively Managed): Statistical Process Control
  8. Measurement Anti-Patterns
  9. Integration with Other CMMI Process Areas
  10. Getting Started (Quick Start Scenarios)
  11. Scenario 1: First-Time Measurement Program (Level 2)
  12. Scenario 2: Implementing DORA Metrics (Level 2→3)
  13. Scenario 3: Statistical Process Control (Level 3→4)
  14. Scenario 4: Data-Driven Project Management (Level 4)
Ships with 1 file
  • metadata.json
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About this skill
What does the quantitative-management skill do?

Use when establishing measurement programs, analyzing metrics with statistical process control, setting baselines, or implementing CMMI Level 4 quantitative management - prevents vanity metrics and measurement theater

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill quantitative-management-tachyon-beep-skillpacks --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