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pipeline-analyst

Analyze sales pipeline health and generate revenue forecasts from MQL to post-MQL sales scenarios.

12|2|Updated Jan 27, 2026
Search Tags:#pipeline#revenue-forecast#deal-velocity#pipeline-health#sales-forecasting#conversion-rates
One-click install
npx skills add https://github.com/jikig-ai/soleur --skill pipeline-analyst-jikig-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pipeline-analyst
Source: https://github.com/jikig-ai/soleur/tree/main/.openhands/skills/pipeline-analyst
Command: npx skills add https://github.com/jikig-ai/soleur --skill pipeline-analyst-jikig-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps sales and revenue operations diagnose pipeline health, quantify risks, and produce operational forecasts and recommendations so teams can prioritize deals and improve close rates without manual spreadsheet gymnastics.

Core Features & Use Cases

  • Pipeline health: Compute stage conversion rates, deal aging, pipeline coverage ratios, and identify stuck or at-risk deals.
  • Revenue forecasting: Build weighted pipeline forecasts, run scenario analysis (commit vs best-case), and model revenue outcomes by segment or rep.
  • Stage definitions & velocity: Define entry/exit criteria, apply qualification frameworks (BANT, MEDDIC, SPICED), and measure time-in-stage and sales cycle length.
  • Use Case: Produce a quarterly pipeline dashboard highlighting conversion funnel leaks, forecasted commit, and prioritized actions to accelerate deals.

Quick Start

Analyze the current quarterly sales pipeline to produce a dashboard with key metrics, stage-by-stage conversion rates, stuck deals, and prioritized recommendations.

Frequently Asked Questions about pipeline-analyst

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

FAQPage Schema
How do I analyze sales pipeline health and identify stuck deals?▼

Sales pipeline health analysis involves computing stage conversion rates, deal aging, and coverage ratios to identify stuck or at-risk deals. This process highlights funnel leaks and prioritizes actions to accelerate deals.

How do I generate a weighted revenue forecast from my current pipeline?▼

Generating a weighted revenue forecast requires building scenarios from commit to best-case using stage-by-stage conversion rates. This models revenue outcomes by segment or rep for operational sales planning.

What is the best way to measure deal velocity and time-in-stage metrics?▼

Measuring deal velocity involves tracking time-in-stage metrics and sales cycle length by applying qualification frameworks like BANT, MEDDIC, or SPICED. This identifies bottlenecks and quantifies how quickly deals move from MQL to close.

Can I use pipeline coverage ratios to diagnose conversion funnel leaks by rep or segment?▼

Yes, diagnosing conversion funnel leaks using pipeline coverage ratios applies to post-MQL sales scenarios by rep, segment, or source. This isolates where deals drop off and quantifies the associated revenue risk.

What stage definitions do I need to measure sales cycle length accurately?▼

Accurately measuring sales cycle length requires defining clear stage entry and exit criteria before tracking time-in-stage. Applying frameworks like MEDDIC or SPICED ensures consistent qualification boundaries across the pipeline.

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