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Elasticity Lab Skill · gtmagents | DecimalAI

financeby gtmagents

Elasticity Lab Skill

gtmagents/elasticity-lab

Source gtmagents/gtm-agents ↗License Apache-2.0

Use to run pricing elasticity experiments with consistent assumptions and guardrails.

SkillScore77Maintained

Automatic

Sales & GTM pack

Last verified 8/23/2026

What it changes

Passed 16 of 21 test cases with the skill, and 11 of 21 without it.

Without skill50%

With skill77%

Checks it passed that the model alone missed

Includes initial ASP, win rate, churn rate, and attach rate
Defines baseline metrics including attach rate and data sources
Requires explicit data source documentation for each baseline metric

and 7 more in the full report

6 fixed11 passed either way5 still failing0 broke

Pass-rate lift: +27 pp
Tokens: -1%
Agent turns: 0%
Response time: -8%

Model gemini-3.6-flashMeasured 8/23/2026v117 of 22 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/gtmagents-elasticity-lab/SKILL.md https://app.decimal.ai/s/gtmagents-elasticity-lab/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gtmagents-elasticity-lab, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/gtmagents-elasticity-lab/ and pins it in .decimal/skills.lock

decimalai skills add gtmagents-elasticity-lab

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/gtmagents-elasticity-lab/SKILL.md https://app.decimal.ai/s/gtmagents-elasticity-lab/SKILL.md

Raw file: /s/gtmagents-elasticity-lab/SKILL.md ↗ · machine-readable summary at /s/gtmagents-elasticity-lab.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

We are planning a 15% price increase across our enterprise SaaS tiers next quarter. Please generate an elasticity analysis workbook that models baseline financial metrics, forecasts ARR and churn under conservative vs aggressive demand responses, identifies vulnerable customer cohorts by industry or tenure, and outlines a structured pilot experiment plan.

What was checked, without and with the skill
Checked	Without skill	With skill
Includes win rate, attach rate, and data sources alongside ASP and churn in baseline metrics	Missed	Passed
Includes moderate response band alongside conservative and aggressive elasticity curves	Missed	Passed
Calculates margin impact alongside ARR and churn in scenario projections	Missed	Passed

case-01 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md25 linessingle file

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

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

Track record

Benchmark

16 / 21

test cases passed, vs 11 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

gtmagents / gtm-agents

plugins/pricing-strategy/skills/elasticity-lab/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Elasticity Lab Skill

When to Use

Framework

Templates

Tips

Track record

Benchmark

Adoption

SkillSafety

Source

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