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wispr-analytics

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Analyze Wispr dictations for self-reflection

Data & Analytics#metrics#patterns#analyze#wellbeing#wispr#dictations
AuthorKISHOR403
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Wispr Flow dictation history contains valuable patterns about work habits and wellbeing that are difficult to surface manually. This skill provides an automated pathway to extract quantitative metrics and generate qualitative insights for self-reflection.

Core Features & Use Cases

  • Extract quantitative metrics from the local Wispr Flow SQLite database (history table), including dictation counts, word counts, durations, and language distributions.
  • Generate structured qualitative analyses in multiple modes (technical, soft, trends, mental) to provide actionable self-reflection prompts and well-being insights.
  • Produce outputs in Markdown or JSON formats, including period context, mode, top apps/categories, and curated text samples for LLMS.

Quick Start

Run the Wispr analytics extraction to generate a report from your local Wispr Flow data.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

đź’» 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: wispr-analytics
Download link: https://github.com/KISHOR403/claude-skills/archive/main.zip#wispr-analytics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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