What is a GSD session report?

A GSD session report is a structured Markdown document that summarizes the work completed, specific outcomes achieved, and estimated resources used during an AI-assisted coding session.

Does this skill help track AI costs?

Yes, it provides token usage estimates which are critical for monitoring and managing the costs associated with large-scale AI development tasks.

Can this skill work with multiple sub-agents?

Yes, it is designed to coordinate with the GSD workflow to aggregate results from multiple sub-agents into a single, cohesive summary.

How do I trigger the session reporting skill?

You can invoke the skill by mentioning $gsd-session-report in your Claude Code interface, followed by any optional arguments you wish to include.

Where is the report saved?

The skill generates a SESSION_REPORT.md file within your project directory, making it easy to commit to version control or share with your team.

GSD Session Reporting

Name: GSD Session Reporting
Author: thaisonho

bythaisonho

0•

生产力与工作流

Generates comprehensive session reports detailing work performed, token usage estimates, and project outcomes.

The GSD Session Reporting skill automates the creation of a structured SESSION_REPORT.md document to capture the results of a development session. By analyzing the work performed and estimating resource consumption like token usage, it provides developers with a clear audit trail and shareable artifacts for post-session review. This tool is essential for teams needing to track AI-driven progress, manage costs, and maintain clear documentation of incremental changes during complex coding tasks.

主要功能

01Structured summaries of work performed and outcomes

02Standardized formatting for team hand-offs and reviews

03Detailed token usage and resource estimation

04Automated generation of SESSION_REPORT.md

050 GitHub stars

06Integration with multi-agent task workflows

使用场景

01Tracking AI resource consumption and token costs for project management.

02Documenting progress and changes after a long-form coding or refactoring session.

03Creating clear handover notes for team members or for resuming work at a later date.

主要功能

01Structured summaries of work performed and outcomes

02Standardized formatting for team hand-offs and reviews

03Detailed token usage and resource estimation

04Automated generation of SESSION_REPORT.md

050 GitHub stars

06Integration with multi-agent task workflows

使用场景

01Tracking AI resource consumption and token costs for project management.

02Documenting progress and changes after a long-form coding or refactoring session.

03Creating clear handover notes for team members or for resuming work at a later date.