Back to skills
SkillHub ClubResearch & OpsFull StackData / AI

startup-review-mining

This skill provides structured templates and methodologies for extracting actionable insights from customer reviews across multiple platforms. It focuses on identifying pain points, feature gaps, and competitive weaknesses, with specific guidance for B2B software, B2C apps, and tech communities. Includes bias hygiene checks and frameworks for turning insights into product experiments.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
42
Hot score
90
Updated
March 20, 2026
Overall rating
A7.9
Composite score
6.1
Best-practice grade
C64.8

Install command

npx @skill-hub/cli install vasilyu1983-ai-agents-public-startup-review-mining
customer-feedbackproduct-discoverycompetitive-analysismarket-researchdata-extraction

Repository

vasilyu1983/AI-Agents-public

Skill path: frameworks/shared-skills/skills/startup-review-mining

This skill provides structured templates and methodologies for extracting actionable insights from customer reviews across multiple platforms. It focuses on identifying pain points, feature gaps, and competitive weaknesses, with specific guidance for B2B software, B2C apps, and tech communities. Includes bias hygiene checks and frameworks for turning insights into product experiments.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI.

Target audience: Research teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: vasilyu1983.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install startup-review-mining into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/vasilyu1983/AI-Agents-public before adding startup-review-mining to shared team environments
  • Use startup-review-mining for research workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.