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oma-recap

Aggregate AI conversation logs into themed daily or multi-day work summaries.

5|3|Updated Mar 11, 2026
Search Tags:#AI tools#report generation#conversation analysis#recap#workflow summary
One-click install
npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-recap-ddarkr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oma-recap
Source: https://github.com/ddarkr/antigravity-token-monitor/tree/main/.agents/skills/oma-recap
Command: npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-recap-ddarkr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of analyzing and synthesizing conversation logs from multiple AI tools, enabling efficient review and reporting of work activity.

Core Features & Use Cases

  • Conversation Summarization: Collates and groups AI chat histories to produce coherent summaries for daily or multi-day periods.
  • Themed Recap Generation: Creates project-oriented reports that highlight key accomplishments, decisions, and work patterns.
  • Use Case: Suppose you want to review your AI-assisted development session over the past week; this Skill aggregates logs, identifies themes, and writes a structured weekly recap.

Quick Start

Ask the AI to generate a summarized report of your AI conversation history for the selected date range using the command "Generate a weekly summary" to get an overview of your recent work activities.

Frequently Asked Questions about oma-recap

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

FAQPage Schema
How do I generate a weekly summary of my AI conversation logs?▼

To generate a weekly summary, aggregate JSON conversation data from multiple AI tools and process the logs to produce a markdown report highlighting key themes, decisions, and tool usage. This organizes multi-day work activities into a structured recap suitable for project retrospectives.

What is conversation analysis for AI work activity recap?▼

Conversation analysis for AI work recap collates and groups chat histories from multiple AI tools to identify key accomplishments, decisions, and work patterns. It synthesizes logs into coherent daily or multi-day summaries for efficient review and progress reporting.

Do I need JSON conversation data to create a themed recap report?▼

Yes, accessing JSON conversation data is required to produce themed recap reports. The Skill processes JSON logs from multiple AI tools to extract themes and generate structured markdown summaries for project retrospectives or progress reviews.

Can I use this for project retrospectives with logs from multiple AI tools?▼

Yes, you can use this for project retrospectives by aggregating conversation logs from multiple AI tools. It analyzes cross-tool chat histories to produce comprehensive summaries highlighting key accomplishments, decisions, and tool usage patterns over a selected period.

What format does the workflow summary output use for review?▼

The workflow summary output organizes insights into markdown format for review. This structured markdown presents aggregated conversation analysis, highlighting key themes and decisions to facilitate efficient progress reporting and project retrospectives.

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