·wispr-analytics
{}

wispr-analytics

✓
glebis/claude-skillsGitHub: glebis/claude-skillsSource: glebis/claude-skills

This skill should be used when analyzing Wispr Flow voice dictation history for self-reflection, work patterns, mental health insights, or productivity analytics. Triggered by requests like "/wispr-analytics", "analyze my dictations", "what did I dictate today", "wispr reflection", or any request to review voice dictation patterns. Supports modes - technical (coding/work), soft (communication), trends (volume/frequency), mental (sentiment/energy/rumination).

glebis·wispr·analytics
10Installs·0Trend·@glebis

Installation

GitHub: glebis/claude-skills
$npx skills add https://github.com/glebis/claude-skills --skill wispr-analytics

How to Install wispr-analytics

Quickly install wispr-analytics AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/glebis/claude-skills --skill wispr-analytics
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: glebis/claude-skills.

SKILL.md

View raw

Extract and analyze Wispr Flow dictation history from the local SQLite database. Combine quantitative metrics with LLM-powered qualitative analysis for self-reflection, work pattern recognition, and mental health awareness.

Key table: History with fields: formattedText, timestamp, app, numWords, duration, speechDuration, detectedLanguage, isArchived.

The user has 8,500+ dictations since Feb 2025, bilingual (Russian/English), across apps: iTerm2, ChatGPT, Arc browser, Claude Desktop, Windsurf, Telegram, Obsidian, Perplexity.

This skill should be used when analyzing Wispr Flow voice dictation history for self-reflection, work patterns, mental health insights, or productivity analytics. Triggered by requests like "/wispr-analytics", "analyze my dictations", "what did I dictate today", "wispr reflection", or any request to review voice dictation patterns. Supports modes - technical (coding/work), soft (communication), trends (volume/frequency), mental (sentiment/energy/rumination). Source: glebis/claude-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/glebis/claude-skills --skill wispr-analytics
Source
glebis/claude-skills
Category
{}Data Analysis
Verified
✓
First Seen
2026-03-01
Updated
2026-03-11
URL
https://www.learn-skills.dev/en/skills/glebis/claude-skills/wispr-analytics

Browse more skills from glebis/claude-skills

Quick answers

What is wispr-analytics?

This skill should be used when analyzing Wispr Flow voice dictation history for self-reflection, work patterns, mental health insights, or productivity analytics. Triggered by requests like "/wispr-analytics", "analyze my dictations", "what did I dictate today", "wispr reflection", or any request to review voice dictation patterns. Supports modes - technical (coding/work), soft (communication), trends (volume/frequency), mental (sentiment/energy/rumination). Source: glebis/claude-skills.

How do I install wispr-analytics?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/glebis/claude-skills --skill wispr-analytics Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/glebis/claude-skills

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-03-01

Related Skills

google-image-search
112 Installs
firecrawl-research
90 Installs
elevenlabs-tts
77 Installs
presentation-generator
64 Installs
pdf-generation
53 Installs
telegram
43 Installs