digest

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Updated Aug 27, 2026
One-click install
npx skills add https://github.com/zeyxx/CYNIC --skill digest-zeyxx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: digest
Source: https://github.com/zeyxx/CYNIC/tree/main/.claude/skills/digest
Command: npx skills add https://github.com/zeyxx/CYNIC --skill digest-zeyxx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Digest analyzes text content to extract patterns, insights, and knowledge, turning unstructured information into organized, reusable knowledge for future retrieval.

Core Features & Use Cases

  • Patterns discovery: identify recurring structures, topics, and relationships across texts.
  • Insight extraction: surface key learnings, decisions, and rationale from conversations, documents, code, or decisions.
  • Knowledge retention: store extracted knowledge for cross-session access and later queries.
  • Use Case: summarize long articles, extract decisions from meeting notes, or derive patterns from code reviews.

Quick Start

Provide a block of text to digest, and the assistant will extract patterns, insights, and knowledge for future queries.

Frequently Asked Questions about digest

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

FAQPage Schema
How do I extract insights and patterns from unstructured text?

Text analysis for knowledge management processes conversations, documents, and code to identify recurring structures and surface key learnings. It turns unstructured information into organized knowledge for future retrieval and cross-session queries.

Can I extract decisions and rationale from meeting notes?

Yes, you can extract decisions from meeting notes by providing the conversation text for analysis. The system surfaces key decisions and rationale, storing the extracted knowledge for cross-session access and later queries.

What is the best way to retain knowledge from conversations across sessions?

The best way to retain knowledge from conversations across sessions is to process text through a digest tool that extracts and stores insights. This enables cross-session access, allowing you to retrieve surfaced patterns and decisions later.

Does pattern detection work on code reviews and technical documents?

Pattern detection works on code, conversations, documents, and decisions. It analyzes technical text to identify recurring structures and relationships, surfacing actionable insights from code reviews for future reference.

What are the limitations of text analysis for knowledge management?

A limitation of text analysis for knowledge management is that it requires unstructured text input to function. It processes provided content like documents and conversations, meaning it cannot extract patterns from data sources it cannot access or read.