gsd-session-report

Generate a Markdown SESSION_REPORT.md with task summaries, outcomes, and token estimates.

Updated Aug 15, 2025
One-click install
npx skills add https://github.com/gesmith0606/nfl_data_engineering --skill gsd-session-report-gesmith0606
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-session-report
Source: https://github.com/gesmith0606/nfl_data_engineering/tree/main/.claude/skills/gsd-session-report
Command: npx skills add https://github.com/gesmith0606/nfl_data_engineering --skill gsd-session-report-gesmith0606

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill produces a concise, shareable SESSION_REPORT.md that captures session outcomes, work performed, and estimated token usage so teams and individuals can review progress and resource consumption after an AI-driven workflow.

Core Features & Use Cases

  • Structured Reporting: Generates a Markdown session report that summarizes tasks completed, decisions made, and next steps.
  • Resource Estimation: Provides estimated token usage and other lightweight resource metrics for the session.
  • Workflow Integration: Pulls execution context from repository workflows and records references to executed files for handoffs and retrospectives.

Quick Start

Generate a SESSION_REPORT.md summarizing this session's outcomes, tasks performed, and estimated token usage based on the session-report workflow.

Frequently Asked Questions about gsd-session-report

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

FAQPage Schema
How do I generate a session report with token estimates and task summaries?

To generate a session report, run the session-report workflow to produce a structured Markdown file. This file captures session outcomes, tasks performed, decisions made, and estimated token usage for team handoffs and retrospectives.

What is a session report used for in AI workflow automation?

A session report is used to review progress and resource consumption after completing AI-driven workflows. It provides a concise, shareable Markdown document summarizing work performed, outcomes, and token estimates for post-mortems and team handoffs.

Can I use this session report tool for team handoffs after completing focused work?

Yes, session reports are designed for interactive AI sessions, post-mortems, and team handoffs. The generated Markdown includes task summaries, next steps, and references to executed workflow files for seamless transitions.

How do I document estimated token usage for an AI-driven workflow?

You document estimated token usage by generating a structured session report. It provides lightweight resource metrics and token estimates alongside task summaries and outcomes, allowing teams to review resource consumption.

Does the session report include references to executed workflow files?

Yes, the session report pulls execution context from repository workflows and records references to executed files. This ensures traceability and provides context for retrospectives and handoffs.