npx skills add ...
npx skills add anthropics/knowledge-work-plugins --skill forecast
npx skills add anthropics/knowledge-work-plugins --skill forecast
Generate a weighted sales forecast with best/likely/worst scenarios, commit vs. upside breakdown, and gap analysis. Use when preparing a quarterly forecast call, assessing gap-to-quota from a pipeline CSV, deciding which deals to commit vs. call upside, or checking pipeline coverage against your number.
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Generate a weighted sales forecast with risk analysis and commit recommendations.
Generate a forecast for: $ARGUMENTS
If a file is referenced: @$1
Option A: Upload a CSV Export your pipeline from your CRM (e.g. Salesforce, HubSpot). I need at minimum:
Helpful if you have:
Option B: Paste your deals
Option C: Describe your territory "I have 8 deals in pipeline totaling $400K. Two are in negotiation ($120K), three in evaluation ($180K), three in discovery ($100K)."
If you don't provide custom probabilities, I'll use:
| Stage | Default Probability |
|---|---|
| Closed Won | 100% |
| Negotiation / Contract | 80% |
| Proposal / Quote | 60% |
| Evaluation / Demo | 40% |
| Discovery / Qualification | 20% |
| Prospecting / Lead | 10% |
Tell me if your stages or probabilities are different.
Acme Corp - $50K - Negotiation - closes Jan 31
TechStart - $25K - Demo scheduled - closes Feb 15
BigCo - $100K - Discovery - closes Mar 30# Sales Forecast: [Period]
**Generated:** [Date]
**Data Source:** [CSV upload / Manual input / CRM]
---
## Summary
| Metric | Value |
|--------|-------|
| **Quota** | $[X] |
| **Closed to Date** | $[X] ([X]% of quota) |
| **Open Pipeline** | $[X] |
| **Weighted Forecast** | $[X] |
| **Gap to Quota** | $[X] |
| **Coverage Ratio** | [X]x |
---
## Forecast Scenarios
| Scenario | Amount | % of Quota | Assumptions |
|----------|--------|------------|-------------|
| **Best Case** | $[X] | [X]% | All deals close as expected |
| **Likely Case** | $[X] | [X]% | Stage-weighted probabilities |
| **Worst Case** | $[X] | [X]% | Only commit deals close |
---
## Pipeline by Stage
| Stage | # Deals | Total Value | Probability | Weighted Value |
|-------|---------|-------------|-------------|----------------|
| Negotiation | [X] | $[X] | 80% | $[X] |
| Proposal | [X] | $[X] | 60% | $[X] |
| Evaluation | [X] | $[X] | 40% | $[X] |
| Discovery | [X] | $[X] | 20% | $[X] |
| **Total** | [X] | $[X] | — | $[X] |
---
## Commit vs. Upside
### Commit (High Confidence)
Deals you'd stake your forecast on:
| Deal | Amount | Stage | Close Date | Why Commit |
|------|--------|-------|------------|------------|
| [Deal] | $[X] | [Stage] | [Date] | [Reason] |
**Total Commit:** $[X]
### Upside (Lower Confidence)
Deals that could close but have risk:
| Deal | Amount | Stage | Close Date | Risk Factor |
|------|--------|-------|------------|-------------|
| [Deal] | $[X] | [Stage] | [Date] | [Risk] |
**Total Upside:** $[X]
---
## Risk Flags
| Deal | Amount | Risk | Recommendation |
|------|--------|------|----------------|
| [Deal] | $[X] | Close date passed | Update close date or move to lost |
| [Deal] | $[X] | No activity in 14+ days | Re-engage or downgrade stage |
| [Deal] | $[X] | Close date this week, still in discovery | Unlikely to close — push out |
---
## Gap Analysis
**To hit quota, you need:** $[X] more
**Options to close the gap:**
1. **Accelerate [Deal]** — Currently [stage], worth $[X]. If you can close by [date], you're at [X]% of quota.
2. **Revive [Stalled Deal]** — Last active [date]. Worth $[X]. Reach out to [contact].
3. **New pipeline needed** — You need $[X] in new opportunities at [X]x coverage to be safe.
---
## Recommendations
1. [ ] [Specific action for highest-impact deal]
2. [ ] [Action for at-risk deal]
3. [ ] [Pipeline generation recommendation if gap exists]