
Forecast Confidence
Run 10,000-iteration Monte Carlo sales forecasts from CRM data with confidence intervals and what-if scenarios.
- Generate P50/P70/P90 revenue confidence intervals for quarterly planning
- Run what-if scenarios to see the impact of pushed deal dates on revenue
- Score sales rep accuracy based on historical vs. actual outcomes
Secure checkout via Stripe
Included in download
- Generate P50/P70/P90 revenue confidence intervals for quarterly planning
- Run what-if scenarios to see the impact of pushed deal dates on revenue
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
See it in action
A real example of what this skill takes in and produces.
Sample output
EXECUTIVE SUMMARY: Q3 Forecast Median (P50): $452,000 P90 Confidence Interval: $380,000 - $515,000
DISTRIBUTION: $350k [** ] 8% $400k [] 32% $450k [] 41% <-- P50 $500k [***** ] 14% $550k [* ] 5%

Forecast Confidence
Run 10,000-iteration Monte Carlo sales forecasts from CRM data with confidence intervals and what-if scenarios.
Secure checkout via Stripe
Included in download
- Generate P50/P70/P90 revenue confidence intervals for quarterly planning
- Run what-if scenarios to see the impact of pushed deal dates on revenue
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
- Instant install
See it in action
A real example of what this skill takes in and produces.
Sample output
EXECUTIVE SUMMARY: Q3 Forecast Median (P50): $452,000 P90 Confidence Interval: $380,000 - $515,000
DISTRIBUTION: $350k [** ] 8% $400k [] 32% $450k [] 41% <-- P50 $500k [***** ] 14% $550k [* ] 5%
About This Skill
What it does
Forecast Confidence transforms raw CRM exports into sophisticated probabilistic revenue projections. Unlike simple weighted pipelines that multiply a deal's value by a flat percentage, this skill executes 10,000 Monte Carlo simulation iterations to account for volatility and risk. It analyzes your deal-level CSV data to provide a range of likely outcomes with hard statistical confidence intervals.
Why use this skill
Modern sales leaders need more than a "best guess." By using statistical simulation, this skill helps you answer "How certain are we to hit our number?" with data-backed P-values (P50, P70, P90). It is significantly more reliable than manual prompting because it follows strict mathematical rules for percentile checkpoints, utilizes industry-standard stage defaults when data is missing, and generates ASCII histograms to visualize revenue distribution.
Supported Tools & Analysis
- Monte Carlo Engine: Performs 10,000 simulations for high-fidelity distribution.
- CRM Integration: Supports CSV exports from Salesforce, HubSpot, or custom spreadsheets.
- What-If Scenarios: Test how changing close dates or deal amounts impacts your quarterly floor and ceiling.
- Accuracy Scoring: Evaluates individual rep performance and historical stage conversion deltas.
The Output
You receive a comprehensive executive report featuring a P50 median forecast, detailed confidence intervals, an ASCII distribution histogram, and data-quality warnings. The output clearly differentiates between your weighted pipeline and the simulated reality.
Use Cases
- Generate P50/P70/P90 revenue confidence intervals for quarterly planning
- Run what-if scenarios to see the impact of pushed deal dates on revenue
- Score sales rep accuracy based on historical vs. actual outcomes
- Visualize revenue distribution with ASCII histograms for quick risk assessment
Known Limitations
- Simulation accuracy depends on historical probability data (uses stage-based averages if no history)
- Visual output is text-based (ASCII histogram, not graphical charts)
- Does not factor in seasonality or external market factors
- Assumes deal probabilities are independent (no correlation between deals)
- Requires 12+ deals for statistically meaningful results
- What-if scenarios are manual (no automated sensitivity analysis)
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/forecast-confidence | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
File Scopes
Forecast Confidence needs terminal access to run Monte Carlo simulations (10,000+ iterations). File read access loads pipeline CSV data. File write access saves forecast results, simulation logs, and text-based visualizations (histogram, confidence curve). No browser, network, or environment variable access required - all simulations run locally.
Works with Claude Code and Codex. Requires CSV input with pipeline data. No API keys required. Runs Monte Carlo simulations locally.