review-mining-stp
CommunityConvert reviews into STP insights safely.
Marketing & Sales#positioning#segmentation#reviews#marketing-analytics#targeting#text-analysis#stp-analysis
AuthorTimLai666
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Reviews, support tickets, app feedback, and other text data are rich with insights but challenging to structure and act upon. This Skill enforces a strict workflow to convert raw text into Segmentation -> Targeting -> Positioning -> Strategy outputs, enabling reliable evidence-based decision making.
Core Features & Use Cases
- Converts review text into structured STP artifacts: segment profiles, targeting datasets, and a positioning scorecard.
- Applies a reproducible workflow contract so downstream analytics (statistics, reports) are anchored to verbatim evidence.
- Use cases include turning reviews into customer segments, selecting target markets, and mapping brand positioning against an ideal point for strategy planning.
Quick Start
Use the review-mining-stp skill to process a canonical set of scored artifacts and produce STP outputs.
Dependency Matrix
Required Modules
pandasnumpyscikit-learnscipystatsmodelsmatplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: review-mining-stp Download link: https://github.com/TimLai666/skills/archive/main.zip#review-mining-stp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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