Individual skill
forecast-modeling
Use when designing, tuning, or auditing revenue forecast models.
plugins/revenue-forecasting-pipeline/skills/forecast-modeling/SKILL.md
Source commit 78e0419f4440bcb43bc80127e174ecf5adef1753
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 439
- Repository last updated
- Apr 3, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 1,320 bytes
Read excerpt
# 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.
