Skills

Oma Recap

Summarize AI conversation histories for a specified date or period.

Install

npx skills add first-fluke/oh-my-agent --skill oma-recap -g -a claude-code -y
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Mediumabout 2,598 tokens
Runs scripts
No, instructions only

What it does

Summarize AI conversation histories for a specified date or period. Use for daily work recaps and cross-tool activity summaries.

AI Tool Conversation History Summary

Analyze AI tool conversation histories for a given period and generate themed work summaries.

Scheduling

Goal

Collect AI tool conversation history for a date or window and synthesize it into a themed, project-oriented recap with saved Markdown output.

Intent signature

  • User asks for daily recap, weekly/monthly summary, standup notes, work log, tool usage pattern, or AI conversation history analysis.
  • User wants conversation histories grouped by work content rather than raw chronological logs.

When to use

  • Summarizing a day or period of work activity
  • Understanding the overall flow of work across multiple AI tools
  • Analyzing tool-switching patterns between sessions
  • Preparing daily standups, weekly retros, or work logs

When NOT to use

  • Git commit-based code change retrospective -> use oma retro
  • Real-time agent monitoring -> use oma dashboard terminal
  • Productivity metrics -> use oma stats get

Expected inputs

  • Date, relative date, time window, or tool filter
  • Conversation history available through oma recap --json or fallback sources
  • Desired daily or multi-day recap scope

Expected outputs

  • Markdown recap saved to .agents/results/recap/{date}.md or range filename
  • TL;DR, overview, themes/projects, miscellaneous or side projects, and tool usage patterns
  • User-facing summary in configured response language

Dependencies

  • oma recap --json
  • Optional Claude fallback history at ~/.claude/history.jsonl
  • .agents/oma-config.yaml for language behavior

Control-flow features

  • Branches by date resolution, window length, available tool history, and daily vs multi-day output shape
  • Reads local history data and writes Markdown recap files
  • Groups by content, not by tool

Structural Flow

Entry

  1. Resolve requested date or window.
  2. Collect normalized conversation history.
  3. Decide daily versus multi-day output structure.
Read the whole SKILL.md on GitHub

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