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Claude-skill-registry elasticity-lab

Use to run pricing elasticity experiments with consistent assumptions

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/elasticity-lab" ~/.claude/skills/majiayu000-claude-skill-registry-elasticity-lab && rm -rf "$T"
manifest: skills/data/elasticity-lab/SKILL.md
source content

Elasticity Lab Skill

When to Use

  • Modeling price increases/decreases across segments.
  • Evaluating new pricing metrics (consumption, seats, feature gates).
  • Stress testing monetization experiments before council reviews.

Framework

  1. Data Inputs – define baseline metrics (ASP, win rate, churn, attach rate) with data sources.
  2. Elasticity Curves – map expected response bands (conservative/moderate/aggressive).
  3. Scenario Builder – plug in price/metric changes and auto-calc ARR, margin, churn impact.
  4. Risk Flags – highlight cohorts sensitive to change (industry, tenure, product mix).
  5. Experiment Plan – propose pilot cohorts, measurement windows, and success criteria.

Templates

  • Elasticity workbook (inputs, assumptions, scenarios, summary).
  • Pilot plan checklist with KPI thresholds.
  • Risk matrix by cohort.

Tips

  • Keep historical data windows consistent to avoid noisy comparisons.
  • Document assumptions + version history for auditability.
  • Pair with 
    pricing-governance
    to log council approvals.