insights

Aggregates call, email, and deal findings to generate recommendations for library updates.

11|6|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/octavehq/lfgtm --skill insights-octavehq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: insights
Source: https://github.com/octavehq/lfgtm/tree/main/skills/insights
Command: npx skills add https://github.com/octavehq/lfgtm --skill insights-octavehq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps sales teams automatically surface findings, trends, and patterns from calls, emails, and deals, turning scattered conversations into actionable library and messaging improvements.

Core Features & Use Cases

  • Aggregate findings from calls, emails, and deals to surface trends, objections, pain points, and questions.
  • Filter results by type (objections, pain-points, questions, competitors, value props) and by persona or segment to guide library updates and playbook optimization.
  • Generate targeted recommendations for library updates, playbooks, and enablement materials based on field insights.

Quick Start

Use the insights skill to review recent field findings and drive library improvements. Examples:

  • /octave:insights
  • /octave:insights --type objections --period "last 30 days"

Frequently Asked Questions about insights

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

FAQPage Schema
How do I extract sales insights from calls and emails to improve my playbooks?

Sales insights aggregate findings from calls, emails, and deals to surface trends, objections, and pain points. It generates structured recommendations for library updates, playbooks, and enablement materials based on those field insights.

What is the best way to filter field data by objections and customer segment?

Filtering field data by objections and customer segment supports narrowing results by type, period, persona, segment, and company. This guides library updates and playbook optimization by isolating specific field conversation patterns.

Can I surface pain points and value props from recent deal conversations?

Yes, you can surface pain points and value props from deal conversations. Aggregating field findings identifies these patterns and trends, while filtering by period like the last 30 days isolates recent deal data.

Does this approach work for generating enablement materials from field findings?

Generating enablement materials from field findings is a core function. It provides targeted recommendations for enablement materials by analyzing aggregated call, email, and deal data to guide prioritization decisions.

What are the limitations when analyzing field data without dedicated sales analytics tools?

Without sales analytics tools, analyzing field data lacks structured aggregation and filtering by persona or segment. This Skill automates surfacing patterns from conversations to overcome manual analysis limitations and guide enablement decisions.