Extract Open Asks

Extract explicit feature requests and capability gaps from customer call notes.

14|2|Updated Feb 27, 2026

Search Tags:#product development #feature request #customer feedback #ask extraction #call notes analysis

Ready to run

npx skills add https://github.com/rchandnaWUSTL/pm-digital-twin --skill extract-open-asks

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Extract Open Asks
Source: https://github.com/rchandnaWUSTL/pm-digital-twin/tree/main/skills/extract-open-asks
Command: npx skills add https://github.com/rchandnaWUSTL/pm-digital-twin --skill extract-open-asks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the identification and extraction of explicit feature requests and asks from customer call notes, preventing valuable customer feedback from being lost.

Core Features & Use Cases

Identify Feature Requests: Pinpoints specific customer needs and desired capabilities.
Evidence-Based Extraction: Captures direct quotes or paraphrased evidence for each ask.
Consolidated Tracking: Aggregates mentions of the same ask across multiple notes, noting the first time it was raised and total occurrences.
Use Case: After a customer call, use this Skill to automatically pull out all stated feature requests, ensuring they are logged and considered for future product development.

Quick Start

Use the extract-open-asks skill to find all feature requests in the provided customer call notes.

Frequently Asked Questions about Extract Open Asks

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

FAQPage Schema

How do I extract feature requests from customer call notes?▼

The Skill automates extracting feature requests from customer call notes by identifying specific needs and providing supporting evidence. It consolidates similar requests to ensure no customer asks are missed during product development.

How do I track feature requests mentioned across multiple customer calls?▼

The Skill tracks feature requests across multiple customer calls by consolidating similar asks and aggregating their mentions. It records the specific customer, the date first raised, and the total frequency of occurrences to provide consolidated tracking.

What is the best way to capture customer feedback from call notes for product development?▼

Automating ask extraction from call notes is the best way to capture customer feedback for product development. This Skill prevents valuable feedback from being lost by logging desired capabilities with direct quotes or paraphrased evidence.

Can I identify capability gaps and specific customer needs from call notes automatically?▼

Yes, you can automatically identify capability gaps and specific customer needs from call notes. The Skill parses your notes to pinpoint desired capabilities, ensuring explicit feature requests are logged and considered for future development.

How do I consolidate duplicate customer asks to ensure no feedback is missed?▼

To consolidate duplicate customer asks and ensure no feedback is missed, the Skill aggregates mentions of the same request across multiple notes. It tracks the first time raised and total occurrences alongside supporting evidence.