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oma-recap

Generate themed Markdown work summaries from AI conversation histories.

46|2|Updated Mar 23, 2025
Search Tags:#conversation analysis#work summary#standup notes#markdown reporting#ai recap#project themes#tool usage patterns
One-click install
npx skills add https://github.com/gracefullight/krds --skill oma-recap-gracefullight
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oma-recap
Source: https://github.com/gracefullight/krds/tree/main/.agents/skills/oma-recap
Command: npx skills add https://github.com/gracefullight/krds --skill oma-recap-gracefullight

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of manually reviewing scattered AI tool conversation logs to understand what you actually accomplished during a day or time period.

Core Features & Use Cases

  • Daily or windowed recap generation: Summarizes conversation history for a specific date, relative date, or time window into a coherent recap.
  • Theme and project grouping by work content: Groups activity by projects/themes rather than by which AI tool was used, while relegating very short tasks to Miscellaneous.
  • Actionable, user-facing Markdown output: Produces a structured Markdown recap that includes TL;DR, overview, themes or projects, and tool usage patterns, and saves it to .agents/results/recap/.

Quick Start

Run oma-recap for today’s activity and generate a Markdown recap from the available AI conversation history.

Frequently Asked Questions about oma-recap

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

FAQPage Schema
How do I generate daily work summaries from AI chat history?▼

Work summaries from AI chat history are generated by collecting normalized JSON conversation logs across tools like Claude and Codex, then processing a specified date or time window to output structured Markdown reports for standups or retros.

Can I group standup notes by project themes instead of by AI tool?▼

Standup notes can be grouped by project themes instead of by AI tool. The recap process organizes conversation activity into content themes, relegating very short tasks to a Miscellaneous category to maintain clear project-driven sections.

Does the recap tool support conversation analysis across multiple AI tools like Claude and Codex?▼

Conversation analysis supports multiple AI tools including Claude and Codex. It collects normalized JSON conversation history from these platforms, applies date-window resolution rules, and generates a unified recap of cross-platform AI activity.

What is included in the Markdown reporting output for AI recaps?▼

Markdown reporting output for AI recaps includes a TL;DR, overview, grouped accomplishments organized by project themes, and tool-usage patterns. These structured Markdown files are saved directly to a local agents results recap directory.

Do I need normalized JSON conversation history to run a multi-day work recap?▼

Normalized JSON conversation history is required to run a multi-day work recap. The tool collects this data via a specific JSON recap command or a local fallback, then applies date-window resolution rules to generate accurate time window reporting.

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