About this skill
Data analysis methodology — how to frame a question, pick the right technique, avoid statistical traps, and connect results to decisions. NOT a tool tutorial (pandas/polars/duckdb live in python-data-analysis) — this is the judgment layer: problem framing, analysis-type decision tree, experiment/causal design, and domain playbooks (churn, cohort, funnel, anomaly). Trigger: "왜 늘었/줄었지", 이탈 분석, 코호트, 퍼널, A/B 테스트, 인과추론, 상관 vs 인과, 유의성, 세그먼트, 이상 탐지, "이 데이터로 뭘 봐야", 지표 설계, exploratory analysis.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 36c59de4f0d4c1590f0a10ed44df1897593e5ff20232aa79e49bf94391d0d128
About this listing
- Category
- Data & analytics
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.