pipeline-review-skill

Diagnose sales pipeline health and generate prioritized weekly action plans using BANT and MEDDPICC frameworks.

Updated Aug 12, 2026
One-click install
npx skills add https://github.com/innFactory-AI/company-ai-stack-skills --skill pipeline-review-skill-innfactory-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pipeline-review-skill
Source: https://github.com/innFactory-AI/company-ai-stack-skills/tree/main/de/skills/sales/pipeline-review-skill
Command: npx skills add https://github.com/innFactory-AI/company-ai-stack-skills --skill pipeline-review-skill-innfactory-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Sales teams struggle to spot stale or at-risk deals, assess forecast accuracy, and prepare for pipeline review meetings without a structured qualification methodology. This Skill analyzes deal health, uncovers stalled opportunities, and produces a prioritized action plan grounded in BANT, MEDDPICC, and SPIN frameworks. ## Core Features & Use Cases - Complexity-Based Qualification Routing: Assesses deal complexity across four dimensions and routes to BANT, simplified MEDDPICC, or full MEDDPICC scoring with behavioral anchors. - Deal Health and Risk Scoring: Combines qualification completeness with risk factors like days-in-stage, engagement recency, and stakeholder coverage to flag at-risk deals. - Forecasting and Pipeline Diagnostics: Derives coverage ratios and conversion rates from your own historical data, supports status-, milestone-, and probability-based forecasting, and diagnoses stage distribution, velocity, aging, and creation-vs-close balance. - Use Case: Before a weekly pipeline review, connect your CRM via MCP or upload a pipeline export, then receive a deal-by-deal risk assessment with SPIN-based discovery questions for qualification gaps and a prioritized action plan. ## Quick Start Review my pipeline health using the attached CRM export and create a prioritized action plan for this week's at-risk deals.

Frequently Asked Questions about pipeline-review-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prepare for a pipeline review meeting with AI?▼

Provide your pipeline data via a connected CRM (MCP), a companyRAG collection, or an uploaded CSV/XLSX export. The skill scores each deal's health and risk, flags stalled opportunities, and generates a prioritized action plan with discovery questions for qualification gaps.

What is the difference between BANT and MEDDPICC qualification?▼

BANT scores Budget, Authority, Need, and Timeline on a 3-point scale for low-complexity transactional deals. MEDDPICC scores eight elements on a 0-3 scale for complex deals with multiple stakeholders, high values, or custom solutions. The skill routes deals to the right framework based on complexity.

Can I use pipeline analysis without a connected CRM?▼

Yes. You can paste deal data directly into the chat or upload pipeline reports as CSV or XLSX files. The skill works identically regardless of whether data comes from an MCP-connected CRM, companyRAG, or manual input.

How is the pipeline coverage ratio calculated?▼

Coverage is derived from your own historical data: divide 1 by your historical conversion rate (closed-won deals divided by total deals entering pipeline). The skill never prescribes fixed ratios; it guides the calculation so you derive your own number, segmented by deal type or age if rates vary.

What are the limitations of probability-based forecasting?▼

Probability-based forecasting becomes unreliable with fewer than 20 deals per stage because calibration samples are too small. Alternatives include merging adjacent stages, applying Bayesian smoothing with priors from overall pipeline rates, or switching to milestone-based forecasting.