/pipeline-review

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Analyze your pipeline health, prioritize deals, and get actionable recommendations for where to focus.

Usage

/pipeline-review [segment or rep]

Review pipeline for: $ARGUMENTS

If a file is referenced: @$1

How It Works

┌─────────────────────────────────────────────────────────────────┐
│                     PIPELINE REVIEW                              │
├─────────────────────────────────────────────────────────────────┤
│  STANDALONE (always works)                                       │
│  ✓ Upload CSV export from your CRM                              │
│  ✓ Or paste/describe your deals                                 │
│  ✓ Health check: flag stale, stuck, and at-risk deals          │
│  ✓ Prioritization: rank deals by impact and closability        │
│  ✓ Hygiene audit: missing data, bad close dates, single-thread │
│  ✓ Weekly action plan: what to focus on                        │
├─────────────────────────────────────────────────────────────────┤
│  SUPERCHARGED (when you connect your tools)                      │
│  + CRM: Pull pipeline automatically, update records             │
│  + Activity data for engagement scoring                         │
│  + Historical patterns for risk prediction                      │
│  + Calendar: See upcoming meetings per deal                     │
└─────────────────────────────────────────────────────────────────┘

What I Need From You

Option A: Upload a CSV Export your pipeline from your CRM (e.g. Salesforce, HubSpot). Helpful fields:

• Deal/Opportunity name
• Account name
• Amount
• Stage
• Close date
• Created date
• Last activity date
• Owner (if reviewing a team)
• Primary contact

Option B: Paste your deals

Acme Corp - $50K - Negotiation - closes Jan 31 - last activity Jan 20
TechStart - $25K - Demo scheduled - closes Feb 15 - no activity in 3 weeks
BigCo - $100K - Discovery - closes Mar 30 - created last week

Option C: Describe your pipeline "I have 12 deals. Two big ones in negotiation that I'm confident about. Three stuck in discovery for over a month. The rest are mid-stage but I haven't talked to some of them in a while."

Output

# Pipeline Review: [Date]

**Data Source:** [CSV upload / Manual input / CRM]
**Deals Analyzed:** [X]
**Total Pipeline Value:** $[X]

---

## Pipeline Health Score: [X/100]

| Dimension | Score | Issue |
|-----------|-------|-------|
| **Stage Progression** | [X]/25 | [X] deals stuck in same stage 30+ days |
| **Activity Recency** | [X]/25 | [X] deals with no activity in 14+ days |
| **Close Date Accuracy** | [X]/25 | [X] deals with close date in past |
| **Contact Coverage** | [X]/25 | [X] deals single-threaded |

---

## Priority Actions This Week

### 1. [Highest Priority Deal]
**Why:** [Reason — large, closing soon, at risk, etc.]
**Action:** [Specific next step]
**Impact:** $[X] if you close it

### 2. [Second Priority]
**Why:** [Reason]
**Action:** [Next step]

### 3. [Third Priority]
**Why:** [Reason]
**Action:** [Next step]

---

## Deal Prioritization Matrix

### Close This Week (Focus Time Here)
| Deal | Amount | Stage | Close Date | Next Action |
|------|--------|-------|------------|-------------|
| [Deal] | $[X] | [Stage] | [Date] | [Action] |

### Close This Month (Keep Warm)
| Deal | Amount | Stage | Close Date | Status |
|------|--------|-------|------------|--------|
| [Deal] | $[X] | [Stage] | [Date] | [Status] |

### Nurture (Check-in Periodically)
| Deal | Amount | Stage | Close Date | Status |
|------|--------|-------|------------|--------|
| [Deal] | $[X] | [Stage] | [Date] | [Status] |

---

## Risk Flags

### Stale Deals (No Activity 14+ Days)
| Deal | Amount | Last Activity | Days Silent | Recommendation |
|------|--------|---------------|-------------|----------------|
| [Deal] | $[X] | [Date] | [X] | [Re-engage / Downgrade / Remove] |

### Stuck Deals (Same Stage 30+ Days)
| Deal | Amount | Stage | Days in Stage | Recommendation |
|------|--------|-------|---------------|----------------|
| [Deal] | $[X] | [Stage] | [X] | [Push / Multi-thread / Qualify out] |

### Past Close Date
| Deal | Amount | Close Date | Days Overdue | Recommendation |
|------|--------|------------|--------------|----------------|
| [Deal] | $[X] | [Date] | [X] | [Update date / Push to next quarter / Close lost] |

how to use pipeline-review
CursorClaude CodeClineCodexWindsurfGooseGitHub CopilotVS CodeGemini CLIKiloOpencodeKimi CLIRoo ClineAiderContinueZedBolt.newLovablev0Replit AgentSweepSmol DeveloperDevinCavemanAmpAntigravity
How to use pipeline-review on Cursor
AI-first code editor with Composer
1
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add pipeline-review
2
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill pipeline-reviewcopy
The skills CLI fetches pipeline-review from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.
3
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│   • Amp
│   • Antigravity
│   • Cline
│   • Codex
│ ●Cursor(selected)
│   • Cursor
│   • Windsurf
4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/pipeline-review
Reload or restart Cursor to activate pipeline-review. Access the skill through slash commands (e.g., /pipeline-review) or your agent's skill management interface.
⚠
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?