weekly-pipeline-review

Aggregate weekly pipeline data into a health digest with deal statuses.

19|4|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/mmashiat/bd-intern --skill weekly-pipeline-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: weekly-pipeline-review
Source: https://github.com/mmashiat/bd-intern/tree/main/skills/weekly-pipeline-review
Command: npx skills add https://github.com/mmashiat/bd-intern --skill weekly-pipeline-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates scattered pipeline data into a single, easy-to-read weekly digest that surfaces health signals across all active deals.

Core Features & Use Cases

  • Weekly health digest across all deals with status, stage, and last update.
  • Moving forward, stale, and at-risk detection with actionable next steps and escalation paths.
  • New deals and pipeline insights synthesized from CRM and meeting context to inform prioritization.

Quick Start

Run /bd-intern weekly to generate and save the pipeline digest.

Frequently Asked Questions about weekly-pipeline-review

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

FAQPage Schema
How do I generate a weekly pipeline health digest for active CRM deals?

Yes, the weekly digest detects stale pipeline items by comparing the last update timestamps across all active deals and flags them with actionable next steps in the output summary.

Do I need a specific configuration file to aggregate weekly pipeline data?

The weekly pipeline digest surfaces new opportunities by synthesizing CRM pipeline data with meeting context, allowing you to prioritize newly added deals alongside moving-forward and at-risk items.

Can I post the weekly pipeline summary directly to Slack?

Yes, you can post the weekly pipeline summary to Slack if the integration is configured, allowing the digest to surface deal health signals and escalations directly in your channels.

How does the pipeline digest identify at-risk deals in a Linear-based pipeline?

The pipeline digest identifies at-risk deals by analyzing stage progressions and last update timestamps across all active deals, generating actionable escalation paths for items lacking forward movement.

What is the best way to track moving-forward deals and stale items weekly?

The best way to track moving-forward and stale deals weekly is to aggregate CRM data and meeting notes into a health digest, which automatically categorizes deal momentum and outputs next steps.