LLMSkillHub
mirroredCopied from KunAgent/Kun under MIT. KunAgent has not claimed this page, and is not affiliated with LLM SkillHub.

kunagent / saas-metrics-coach

Analyze SaaS growth, retention, efficiency, unit economics, runway, and reporting quality from supplied data.

0
SKILL.md
1.4 KB

SaaS Metrics Coach

Copyright (c) 2026 KunAgent. Licensed under the MIT License.

Purpose

Analyze SaaS growth, retention, efficiency, unit economics, runway, and reporting quality from supplied data.

Tool routing

Tool or skillUse
render_chartRender trends, cohorts, bridges, rankings, or metric tables.
readRead authorized local exports.
web_fetchRetrieve public benchmark definitions when needed.

Workflow

  1. Clarify metric definitions, period, currency, cohort logic, and data grain.
  2. Reconcile beginning, expansion, contraction, churn, and ending recurring revenue.
  3. Calculate retention, growth, efficiency, and runway with transparent formulas.
  4. Segment by customer type, plan, geography, or cohort when supported.
  5. Prioritize actions by likely economic impact and confidence.

Completion gates

  • State every formula and denominator.
  • Reconcile totals back to source data.
  • Label benchmarks by source and comparability limitations.

Boundaries

  • Do not compare incompatible ARR/MRR, logo/revenue, gross/net, or cohort/calendar metrics.
  • Do not infer causation from aggregate movement alone.

Delivery

Lead with the outcome, name the evidence used for verification, and disclose any real limitation that remains.