closedloop:deep-dive

Name: closedloop:deep-dive
Availability: InStock
Author: closedloop-ai-org

Synthesize customer insights, signals, and transcripts into a structured deep-dive briefing.

1|Updated Mar 25, 2026

Search Tags:#insights #synthesis #transcripts #deep-dive #evidence-analysis #crm-data #customer-evidence

Ready to run

npx skills add https://github.com/closedloop-ai-org/claude-code-skills --skill closedloop-deep-dive

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: closedloop:deep-dive
Source: https://github.com/closedloop-ai-org/claude-code-skills/tree/main/skills/deep-dive
Command: npx skills add https://github.com/closedloop-ai-org/claude-code-skills --skill closedloop-deep-dive

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesize ALL customer evidence (insights, signals, and transcripts) into a cohesive deep-dive briefing that reveals the full picture of customer needs, pains, and potential revenue impact.

Core Features & Use Cases

Aggregate and align disparate sources (product feedback insights, strategic signals, CRM data) to produce a unified narrative.
Identify underlying problems, sub-problems, and how they affect multiple customers, with support for prioritization and context.
Use cases include validating roadmaps, preparing stakeholder briefs, and diagnosing product or service gaps with evidence-backed rationale.

Quick Start

Ask me to deep-dive a topic by providing the topic after the command, e.g., /closedloop:deep-dive dashboard reliability.

Frequently Asked Questions about closedloop:deep-dive

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

FAQPage Schema

How do I synthesize customer evidence into an executive briefing?▼

To synthesize customer evidence into an executive briefing, aggregate product feedback insights, strategic signals, and CRM data into a unified narrative. This process reads matching insights and key transcripts to reveal underlying problems, priorities, and quantified revenue impact across multiple customers.

What is the best way to aggregate transcripts and CRM data for product feedback analysis?▼

Aggregating transcripts and CRM data for product feedback analysis involves loading key conversations and enriching them with CRM records. This method aligns disparate sources to identify underlying problems and sub-problems, producing a structured synthesis suitable for validating roadmaps.

Can I use customer insights to diagnose product gaps and prepare stakeholder briefs?▼

Yes, you can use customer insights to diagnose product gaps and prepare stakeholder briefs. By reading every matching insight and signal, the synthesis identifies service gaps with evidence-backed rationale and quantified impact, revealing the full picture of customer needs and pains.

How do I generate a deep-dive analysis of customer problems from support and sales contexts?▼

Generating a deep-dive analysis of customer problems from support and sales contexts requires reading all matching insights and enriching them with CRM data. It loads key conversations to produce a cohesive briefing that reveals problems, priorities, and potential revenue impact across customers.

Does evidence-based synthesis work for validating roadmaps across multiple customers?▼

Evidence-based synthesis works for validating roadmaps across multiple customers by aligning product feedback insights and strategic signals into a unified narrative. It identifies how underlying problems affect multiple customers with support for prioritization and context, providing evidence-backed rationale for decisions.