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claude-code

Claude-skill-registry forecast-modeling

Use when designing, tuning, or auditing revenue forecast models.

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 "$T/skills/data/forecast-modeling" ~/.claude/skills/majiayu000-claude-skill-registry-forecast-modeling && rm -rf "$T"
manifest: skills/data/forecast-modeling/SKILL.md
source content

Forecast Modeling System Skill

When to Use

  • Launching new forecasting cadences or revisiting methodology.
  • Running scenario planning ahead of board meetings or budget cycles.
  • Auditing deviations between forecast, pipeline, and actuals.

Framework

  1. Method Selection – pick bottom-up CRM, top-down macro, cohort, or blended models and document assumptions.
  2. Driver Mapping – define win rates, velocity, expansion, churn, pricing, and seasonality inputs.
  3. Scenario Logic – establish base/upside/downside cases with tunable levers for sensitivity analysis.
  4. Model Governance – list data sources, refresh cadence, validation checks, and ownership.
  5. Output Packaging – standardize tables, charts, and narrative prompts for exec review.

Templates

  • Driver tree diagram connecting levers to KPIs.
  • Scenario sheet (assumption → base/upside/downside values).
  • Model QA checklist (data freshness, formula audits, version history).

Tips

  • Keep raw inputs + assumptions in version control for auditability.
  • Pair with 
    variance-analysis
    skill to recalibrate after each cycle.
  • Automate sensitivity runs to answer "what-if" questions during reviews.