data-analysis
Decision-first data analysis with statistical rigor gates.
npx skills add majiayu000/claude-skill-registry --skill data-analysis-notque-vexjoy-agent --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.
# Data Analysis Skill Every analysis begins with the decision being supported, works backward to the evidence required, and only then touches the data. This prevents the common failure mode where analysis produces impressive summaries that answer the wrong question. **Analysis without a decision is just arithmetic.** --- ## Reference Loading Table | Signal | Load These Files | Why | |---|---|---| | extended pattern catalog: methodology, statistical, communication, process fixes | `preferred-patterns.md` | Loads detailed guidance from `preferred-patterns.md`. | | writing analysis scripts: tool detection and metric computation code | `compute-examples.md` | Loads detailed guidance from `compute-examples.md`. | | errors, error handling | `error-handling.md` | Loads detailed guidance from `error-handling.md`. | | writing analysis-report.md per analysis type (A/B, trend, distribution) | `output-templates.md` | Loads detailed guidance from `output-templates.md`. | | applying Phase 4 statistical gates: adequacy, fairness, correction, significance | `rigor-gates.md` | Loads detailed guidance from `rigor-gates.md`. | | end-to-end phase walkthroughs on realistic inputs | `worked-examples.md`
- Reference Loading Table
- Instructions
- Phase 1: FRAME (Frame the decision before touching data)
- Phase 2: DEFINE (Lock metrics before loading data)
- Phase 3: EXTRACT (Load data. Assess quality. No interpretation.)
- Phase 4: ANALYZE (Compute metrics. Apply rigor gates.)
- Phase 5: CONCLUDE (Lead with insights. Return to the decision.)
- Reference Loading
- References
What does the data-analysis skill do?
Decision-first data analysis with statistical rigor gates.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill data-analysis-notque-vexjoy-agent --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.