---
name: crm-pipeline-update-summarizer
description: "Converts raw CRM pipeline exports and activity notes into a leadership-ready summary covering pipeline health, deal movement, at-risk opportunities, forecast confidence, and recommended next actions. Use when preparing pipeline reviews, weekly sales updates, forecast calls, or QBR-ready summaries from Salesforce or similar CRM data."
argument-hint: "[pipeline-data] [reporting-period]"
allowed-tools: ["Read"]
---

# CRM Pipeline Update Summarizer

## Purpose
Turn messy pipeline exports and scattered activity notes into a concise, decision-ready summary that a sales leader can absorb in two minutes — surfacing what moved, what's at risk, what the forecast actually supports, and what needs attention next. Eliminates the manual scramble before every pipeline review.

## When to Use
Invoke this skill when the user asks to:
- Summarize their pipeline for a weekly sales meeting or leadership update
- Prepare talking points for a forecast call or pipeline review
- Turn a Salesforce export into a readable executive summary
- Flag at-risk or stalled deals across their book of business
- Build a QBR-ready or partner-review pipeline snapshot
- Explain deal movement since the last reporting period

## Inputs Required
Before starting, collect:
- **Pipeline data**: Raw export or list of open deals — deal name, stage, amount, close date, owner
- **Reporting period**: The window being summarized (e.g., this week, last 30 days, current quarter)
- **Activity notes**: Recent call/email/meeting notes or next-step logs per deal (paste as-is)
- **Quota or target**: The number this pipeline is measured against for the period
- **Prior snapshot** (optional): Last period's pipeline state, to compute movement
- **Audience**: Who reads this — direct manager, VP/CRO, partner leadership, or board
- **Stage definitions** (optional): How the org defines each stage if non-standard

If prior snapshot is missing, summarize current-state only and note that movement can't be computed. If stage definitions are missing, assume a standard 5-stage B2B funnel (Prospecting → Qualification → Proposal → Negotiation → Closed).

## Instructions

### Step 1: Normalize and Categorize the Data
Parse the raw input into a clean deal set. For each deal, capture: name, stage, amount, weighted amount (amount × stage probability), close date, owner, and days in current stage if inferable from notes.

Apply default stage probabilities if none provided: Prospecting 10%, Qualification 25%, Proposal 50%, Negotiation 75%, Verbal/Commit 90%.

Flag any records with missing amounts, past-due close dates, or no recent activity — these become data-quality callouts.

### Step 2: Compute Pipeline Health Metrics
Calculate and hold the following for the summary:
- **Total pipeline value** (raw) and **weighted pipeline value**
- **Coverage ratio**: weighted pipeline ÷ quota/target (flag if under 3x)
- **Deal count by stage** and value concentration (is >40% of value in one or two deals?)
- **Average days in stage** for deals with inferable dates
- **Forecast this period**: sum of deals with close dates inside the period, split into Commit (Negotiation+), Best Case (Proposal), and Pipeline (earlier stages)

### Step 3: Identify Deal Movement
Compare against the prior snapshot if provided:
- **Advanced**: deals that moved forward a stage
- **Slipped**: deals whose close date pushed to a later period
- **New**: deals added this period
- **Closed Won / Closed Lost**: with amounts
- **Stalled**: deals with no stage change and no logged activity for the period

If no prior snapshot exists, derive movement signals from activity notes (e.g., "sent proposal," "no response in 2 weeks").

### Step 4: Assess Risk on Key Deals
For the top deals by value and any period-closing deals, assign a risk level:
- **On Track**: recent forward activity, clear next step, realistic close date
- **Watch**: some positive signal but a gap (no next meeting set, single-threaded, pricing unresolved)
- **At Risk**: stalled, past-due close date, negative signal in notes, or ghosting

For each Watch/At Risk deal, state the specific reason in one line drawn from the notes — not a generic "needs follow-up."

### Step 5: Draft the Leadership Summary
Write the summary top-down: headline first, detail second. Lead with the number that matters to the audience (forecast vs. quota), then health, then the 3-5 deals worth discussing, then risks, then next actions. Keep language plain — no filler, no restating raw data the reader can see in the CRM.

### Step 6: Recommend Next Actions
Produce 3-5 specific, assignable next steps ranked by impact on the period forecast — e.g., "Multi-thread the Acme deal ($120K, single-threaded, closing this period)" rather than "focus on big deals."

## Output Format
- **Structure**: Executive summary at top, then structured sections; deal-level detail in a compact table
- **Length**: 400-600 words
- **Format**: Short prose headline + bulleted health metrics + one deal table + numbered action list
- **Sections**: Headline / Forecast vs. Target → Pipeline Health → Deal Movement → Deals to Discuss (table: Deal, Amount, Stage, Close Date, Risk, Note) → Risks & Blockers → Recommended Next Actions
- **Tone**: Sales operations director briefing leadership — concise, quantified, no hedging, no hype

## Quality Checklist
Before delivering output, verify:
- [ ] Forecast is split into Commit / Best Case / Pipeline with dollar figures
- [ ] Coverage ratio is stated and flagged if under 3x
- [ ] Every Watch/At Risk deal has a specific reason pulled from the notes, not a generic one
- [ ] The deal table includes exactly the six columns specified
- [ ] Next actions are assignable and ranked by forecast impact — not vague
- [ ] Any missing/dirty data (no amount, past-due close, no activity) is called out explicitly

## Notes
- The most common leadership complaint is a summary that restates the CRM instead of interpreting it — always lead with the forecast call and the 3-5 deals that actually matter.
- If more than 40% of pipeline value sits in a single deal, flag the concentration risk explicitly; a leader needs to know the forecast rides on one outcome.
- When notes conflict with stage (e.g., "went dark" but marked Negotiation), trust the notes for risk assessment and flag the stage as likely inflated.
- For partner-facing reviews, deemphasize internal quota language and lead with joint-pipeline value and mutual next steps instead.

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## How to use this skill

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**Using in Claude.ai, ChatGPT, Gemini, or other AI tools:**

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