gong-call-intelligence

Search Gong call transcripts and extract structured highlights via gtmService tools.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/sih3rron/skills --skill gong-call-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gong-call-intelligence
Source: https://github.com/sih3rron/skills/tree/main/gong-call-intelligence
Command: npx skills add https://github.com/sih3rron/skills --skill gong-call-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes friction from locating, summarising, and analysing Gong sales calls so sellers and account teams can quickly prepare for meetings, surface decisions and action items, and track themes across an account's call history.

Core Features & Use Cases

  • Search and Retrieve: Fuzzy-search calls by account name and date range and present results as a table containing title, date, duration, and Gong URL for quick access.
  • Call Highlights & Actions: Fetch structured highlights for a specific call including key topics, decisions, action items, and notable quotes for concise post-call follow-up or pre-meeting prep.
  • Keyword & Trend Analysis: Run keyword/theme analysis across multiple calls to show which conversations mentioned a topic, whether mentions were substantial or passing, and provide timestamps/citations.
  • Use Case: For an upcoming Tesco meeting, produce an account snapshot that includes the most recent call summaries, recurring themes like pricing or security, unresolved action items, and suggested talking points.

Quick Start

Find the most recent three calls with HSBC this year, summarise key topics and action items, and list the Gong links.

Frequently Asked Questions about gong-call-intelligence

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

FAQPage Schema
How do I extract insights from Gong call transcripts for account-level research?

To extract insights from Gong call transcripts, search calls by account name and date range, then fetch structured highlights including key topics, decisions, action items, and notable quotes. This surfaces concise summaries and Gong URLs for quick access during account research or pre-meeting preparation.

Can I search Gong calls by account name and date range to prepare for an upcoming meeting?

Yes, you can fuzzy-search Gong calls by account name and date range to produce a table of results containing call title, date, duration, and Gong URL. This allows you to quickly locate relevant call histories and prepare structured pre-meeting briefs for specific accounts.

What is the best way to analyze keywords and recurring themes across multiple Gong sales calls?

The best way to analyze keywords across Gong sales calls is to run a keyword and theme analysis across multiple call transcripts. This shows which conversations mentioned a topic, whether mentions were substantial or passing, and provides timestamps and citations for tracking recurring themes like pricing or security.

Does this Gong call intelligence approach work without additional dependencies or components?

Yes, Gong call intelligence operates using integrated gtmService tools like search_gong_calls, select_gong_call, get_gong_call_details, and analyze_keywords_in_calls. It requires no additional external dependencies or component installations to search transcripts and retrieve structured call highlights.

How do I retrieve structured highlights and action items from a single Gong call transcript?

To retrieve structured highlights from a single Gong call, use the call selection and details tools to fetch key topics, decisions, action items, and notable quotes. This provides concise post-call follow-up information with timestamps and direct Gong URLs for reference.

What are the limitations of analyzing Gong call transcripts for cross-call keyword trends?

Gong call transcript analysis for cross-call keyword trends is limited to the data available through gtmService search and retrieval tools. Analysis quality depends on transcript accuracy, and keyword mentions are categorized as either substantial or passing based on available call metadata and timestamp citations.