/elasticity-lab
Use to run pricing elasticity experiments with consistent assumptions
$ npx -y skills add gtmagents/gtm-agents --skill elasticity-lab --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/elasticity-lab
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use to run pricing elasticity experiments with consistent assumptions
SKILL.md
elasticity-lab.SKILL.mdname: elasticity-lab description: Use to run pricing elasticity experiments with consistent assumptions and guardrails.
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.
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