macrodata-distill

Name: macrodata-distill
Availability: InStock
Author: ashwnn

Extract actions and facts from OpenCode transcripts into a journal.

Updated Aug 27, 2026

Search Tags:#automation #subagents #memory #knowledge #distill #journal #conversations

Ready to run

npx skills add https://github.com/ashwnn/agent-config --skill macrodata-distill-ashwnn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: macrodata-distill
Source: https://github.com/ashwnn/agent-config/tree/main/skills/macrodata-distill
Command: npx skills add https://github.com/ashwnn/agent-config --skill macrodata-distill-ashwnn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill consolidates and extracts actionable knowledge from daily OpenCode conversations by spawning dedicated sub-agents per conversation to prevent context blowup.

Core Features & Use Cases

Spawns sub-agents per conversation to distill actions, facts, and decisions.
Writes distilled results to a journal and updates entity files with new facts.
Handles only user and assistant content, filtering out tools and summaries.

Quick Start

Activate macrodata-distill to process today's conversations and generate distilled actions and facts.

Frequently Asked Questions about macrodata-distill

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

FAQPage Schema

How do I extract actionable knowledge from conversation transcripts?▼

To extract actionable knowledge from conversation transcripts, spawn a sub-agent per conversation to distill actions and facts, then write actions to a journal and aggregate facts by topic for entity updates. The coordinator pattern collects and filters these results.

How does the sub-agent pattern prevent context blowup when processing daily conversations?▼

The sub-agent pattern prevents context blowup by assigning each daily conversation to a dedicated sub-agent for distillation, allowing a coordinator to collect only the filtered actions and facts without overloading the context window.

What is the best way to filter non-actionable content from chat logs?▼

The best way to filter non-actionable content from chat logs is to process only user and assistant messages, excluding tools and summaries, while preserving verifiable technical details, file paths, and concrete outcomes.

Can I use macrodata-distill to update entity files with extracted facts?▼

Yes, you can use macrodata-distill to update entity files. It aggregates distilled facts per topic and writes them to entity files, while simultaneously routing extracted actions to a separate journal.

Does the conversation distillation process handle tool outputs and automated summaries?▼

No, the conversation distillation process does not handle tool outputs or automated summaries. It strictly filters those out, processing only user and assistant content to ensure safety and preserve verifiable details.