Does this skill send my data to the cloud?

No, Workflow Analyzer performs all analysis locally on your machine. Your session transcripts never leave your local environment.

How does it suggest new commands?

The skill looks for patterns that appear 3 or more times and suggests a specific slash command name and structure to automate that specific sequence.

How many days of history can it analyze?

By default, it analyzes the last 30 days of session data, but you can specify any timeframe, such as the last 60 or 90 days.

What kind of patterns can it detect?

It identifies frequent Git operations, version/publishing sequences, documentation updates, and common test-fix cycles.

Workflow Analyzer

Name: Workflow Analyzer
Author: princespaghetti

byprincespaghetti

Productividad y Flujo de Trabajo

Analyzes your Claude Code session history to identify repetitive tasks and suggest custom slash commands for automation.

Acerca de

Workflow Analyzer is a diagnostic utility designed to optimize your development speed by auditing your past interactions with Claude Code. By parsing local session logs, the skill identifies recurring patterns in Git operations, documentation updates, and testing cycles. It translates these patterns into actionable recommendations for custom slash commands, providing estimated time savings and implementation priorities to help you build a more efficient, automated coding environment.

Características Principales

Pattern recognition for Git, documentation, and implementation cycles
Privacy-first local analysis with no data sent to external services
Automated session history parsing from local JSONL files
Specific slash command suggestions using verb-noun naming conventions
Detailed markdown reports with automation ROI and time savings estimates
0 GitHub stars

Casos de Uso

Optimizing workflow efficiency by visualizing time investment per task type
Auditing development habits and bottlenecks across multiple projects
Identifying high-frequency manual tasks to convert into automated slash commands

Acerca de

Características Principales

Pattern recognition for Git, documentation, and implementation cycles
Privacy-first local analysis with no data sent to external services
Automated session history parsing from local JSONL files
Specific slash command suggestions using verb-noun naming conventions
Detailed markdown reports with automation ROI and time savings estimates
0 GitHub stars

Casos de Uso

Optimizing workflow efficiency by visualizing time investment per task type
Auditing development habits and bottlenecks across multiple projects
Identifying high-frequency manual tasks to convert into automated slash commands