daily-ai-workflow-analyzer

Name: daily-ai-workflow-analyzer
Availability: InStock
Author: ttmouse

Analyze voice chat records to extract behavioral patterns and knowledge assets.

35|10|Updated Dec 29, 2025

Search Tags:#pattern recognition #workflow optimization #knowledge extraction #cognitive bias #communication analysis #voice analysis

Ready to run

npx skills add https://github.com/ttmouse/skills --skill daily-ai-workflow-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: daily-ai-workflow-analyzer
Source: https://github.com/ttmouse/skills/tree/main/daily-ai-workflow-analyzer
Command: npx skills add https://github.com/ttmouse/skills --skill daily-ai-workflow-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires flask, flask-cors, anthropic, and includes scripts (resource) and references (resource) and templates (resource) and knowledge (resource) and assets (resource) components.

What problem does it solve?

This Skill analyzes your voice chat records to uncover hidden patterns, cognitive biases, and strategic blind spots, transforming raw data into actionable insights and knowledge assets.

Core Features & Use Cases

Deep Analysis: Identifies behavioral patterns, cognitive biases, and strategic blind spots in your voice interactions.
Knowledge Extraction: Extracts principles, SOPs, and communication preferences for knowledge base building.
Use Case: Automatically analyze your daily voice logs to discover inefficient workflows, refine your communication style, and build a personal knowledge base of work habits and preferences.

Quick Start

Use the daily ai workflow analyzer skill to analyze your voice records from the last day.

Frequently Asked Questions about daily-ai-workflow-analyzer

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

FAQPage Schema

How do I analyze voice chat records to extract knowledge assets and SOPs?▼

To analyze voice chat records and extract knowledge assets, use this Skill to process daily voice logs, identifying behavioral patterns and extracting principles or SOPs for knowledge base building.

How does voice analysis identify cognitive biases and strategic blind spots?▼

Voice analysis identifies cognitive biases and strategic blind spots by examining your voice chat records for recurring behavioral patterns and inefficient workflows, transforming raw interaction data into actionable insights.

Can I build a personal knowledge base from daily voice chat logs?▼

Yes, you can build a personal knowledge base from daily voice chat logs. The Skill extracts communication preferences, principles, and SOPs from your interactions to structure your knowledge base.

Does the workflow optimization analyzer work with Flask and Anthropic?▼

The workflow optimization analyzer works with Flask and Anthropic. It uses these dependencies to process voice data and run automated workflow analysis on your daily interactions.

What is the best way to discover inefficient workflows from voice interactions?▼

The best way to discover inefficient workflows from voice interactions is to analyze daily voice logs for behavioral patterns and strategic blind spots, automatically extracting actionable insights to refine your communication style.

Are there limitations to using voice analysis for communication pattern recognition?▼

A limitation of using voice analysis for communication pattern recognition is that it relies on raw voice chat records. It functions best when analyzing daily logs rather than isolated fragments to accurately map strategic blind spots.