Can I see a summary of what tasks are left to do?

Yes, the skill can generate a progress report that displays the current executing task, the next pending tasks, and an overall percentage of completion.

What does the Execution Tracking skill actually track?

It tracks the status of individual tasks across different architectural layers, including completion status, duration, error messages, and overall feature progress.

How does it calculate the estimated time remaining?

It calculates the average duration of completed tasks and multiplies that by the number of remaining tasks to provide a data-driven time estimate.

Where is the implementation progress data stored?

Progress data is stored in standardized JSON files located within the .claude/execution/ directory of your repository.

What happens if a task fails during implementation?

The skill logs the error message, records the timestamp, updates the task status to 'failed', and includes this information in the progress report for troubleshooting.

Execution Tracker

Name: Execution Tracker
Author: vanman2024

byvanman2024

Analíticas y Monitorización

Manages and reports software implementation progress through real-time task tracking and automated metric calculation.

Acerca de

The Execution Tracker skill provides a robust framework for monitoring the lifecycle of feature implementations within Claude Code. It automates the management of execution states by initializing status files, updating task completion across multiple architectural layers, and generating detailed progress reports. By maintaining structured JSON data in the .claude/execution/ directory, it allows both developers and AI agents to track success rates, log errors, and calculate estimated completion times, ensuring transparency and order during complex coding workflows.

Características Principales

Estimated time remaining based on average task duration
Automated initialization of layered task tracking from specifications
Detailed error logging with severity categorization and reporting
Real-time progress metrics and completion percentage calculation
Standardized JSON status schema for cross-agent state persistence
0 GitHub stars

Casos de Uso

Debugging implementation bottlenecks by analyzing task durations and error logs
Monitoring multi-layered feature implementations to ensure architectural alignment
Generating comprehensive progress reports during long-running automated coding sessions

Acerca de

Características Principales

Estimated time remaining based on average task duration
Automated initialization of layered task tracking from specifications
Detailed error logging with severity categorization and reporting
Real-time progress metrics and completion percentage calculation
Standardized JSON status schema for cross-agent state persistence
0 GitHub stars

Casos de Uso

Debugging implementation bottlenecks by analyzing task durations and error logs
Monitoring multi-layered feature implementations to ensure architectural alignment
Generating comprehensive progress reports during long-running automated coding sessions