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wispr

Analyze local Wispr Flow dictation data in SQLite databases.

2|1|Updated Feb 14, 2026
Search Tags:#analytics#dashboard#voice#local database#export#dictation
One-click install
npx skills add https://github.com/hamchowderr/claude-plugins --skill wispr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: wispr
Source: https://github.com/hamchowderr/claude-plugins/tree/main/plugins/brainy/skills/wispr
Command: npx skills add https://github.com/hamchowderr/claude-plugins --skill wispr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sqlite3, json, argparse, platform, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to access and analyze Wispr Flow voice dictation data stored locally, providing insights and management tools without needing external APIs.

Core Features & Use Cases

  • Data Analysis: Generate statistics on voice dictation usage, including word count and time spent.
  • Search & Retrieval: Find specific voice notes based on keywords, apps, or date ranges.
  • Export & Dashboard: Save voice logs in Markdown or JSON format, and create visual dashboards for review.
  • Use Case: A user wants to review all voice notes containing a specific keyword from the past month or export recent dictations into Obsidian for note-taking.

Quick Start

Ask the AI to generate a report of your recent voice dictations or search for a particular keyword in your voice history.

Frequently Asked Questions about wispr

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

FAQPage Schema
How do I analyze Wispr Flow voice dictation history stored locally?▼

Search through voice dictation logs by executing Python scripts that query the local SQLite database for specific keywords, apps, or date ranges. This retrieves matching notes instantly without requiring external APIs.

Can I export voice notes to Markdown or JSON for note-taking apps?▼

Create visual dashboards for voice dictation data by executing Python scripts that aggregate local SQLite database records into visual reports. This generates reviewable usage insights and statistics without external dependencies.

Does this approach require remote APIs to access voice notes?▼

No, accessing voice notes does not require remote APIs because the Skill processes data entirely from the local SQLite database using Python. This ensures your voice dictation history remains secure and private on your system.

What Python dependencies are needed to query the local dictation database?▼

Querying the local dictation database requires standard Python dependencies including sqlite3, json, argparse, and platform. These built-in modules interact with local files to analyze and export voice logs without external libraries.

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