Generate weighted sales forecasts with best/likely/worst scenarios and gap analysis.
npx skills add https://github.com/ilove323/comlan-skills --skill forecast-ilove323
Please help me install this Agent Skill. Skill: forecast Source: https://github.com/ilove323/comlan-skills/tree/main/sales/skills/forecast Command: npx skills add https://github.com/ilove323/comlan-skills --skill forecast-ilove323
Weighted sales forecasting with risk-adjusted scenarios and gap analysis to help teams align commitments with quotas.
Provide your pipeline data and quota period to generate a weighted forecast with risk and gap analysis.
High-intent search queries and answers about installing and using this skill.
Generate a weighted sales forecast by inputting your pipeline data via CSV or manual description, which produces risk-adjusted best, likely, and worst-case scenarios. The skill applies stage-weighted probabilities to calculate commitments and identify upside gaps.
Yes, you can analyze your pipeline-to-quota gap using manual pipeline descriptions instead of structured uploads. The skill processes your text input to perform gap analysis, validate pipeline coverage against quotas, and output actionable recommendations.
Stage-weighted probability in pipeline gap analysis assigns a likelihood of closing to each deal based on its current sales stage. This mechanism calculates a risk-adjusted forecast by weighing pipeline opportunities to validate against quota targets.
Yes, the sales forecasting skill works directly with CSV uploads. Providing your pipeline data and quota period through a CSV file generates a weighted forecast with risk insight, scenario modeling, and gap analysis.
The best way to align quarterly commitments with sales quotas is by generating best, likely, and worst scenarios to visualize your risk-adjusted forecast. This highlights your upside gaps and provides actionable recommendations to close any deficit.
clawpod-appGenerate weighted, risk-adjusted sales forecasts from pipeline CSV data.
anthropicsGenerate weighted sales forecasts with best, likely, and worst-case scenarios.
ekatasingh1107Forecast revenue from pipeline data using stage-weighted probabilities and expected close dates.
luisschmitzheadlineGenerate weighted sales forecasts from pipeline data using stage probabilities and quota targets.
