search

Search CYNIC's knowledge base for past judgments, patterns, and decisions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/zeyxx/CYNIC --skill search-zeyxx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: search
Source: https://github.com/zeyxx/CYNIC/tree/main/.claude/skills/search
Command: npx skills add https://github.com/zeyxx/CYNIC --skill search-zeyxx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CYNIC's memory search helps you locate and surface past judgments, patterns, decisions, and knowledge across long-term context, so you can reason with evidence from history.

Core Features & Use Cases

  • Memory search across judgments: Retrieve past evaluations and scores.
  • Pattern detection: Surface recurring structures and insights.
  • Knowledge retrieval: Access decisions and contextual facts for informed action.

Quick Start

Ask me to search past evaluations or patterns with a natural language query.

Frequently Asked Questions about search

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

FAQPage Schema
How do I search past decisions and judgments across sessions?

To search past decisions and judgments, query the knowledge base using natural language to retrieve prior evaluations, scores, and contextual facts from cross-session memory for historical reasoning.

What is pattern detection in long-term memory and how does it work?

Pattern detection in long-term memory surfaces recurring structures and insights by indexing past judgments, allowing you to locate recurring patterns and evaluations across sessions for informed action.

Can I filter memory search results by type when retrieving past evaluations?

Yes, you can filter memory search results by type, selectively retrieving specific judgments, patterns, or decisions and presenting them in a concise, human-readable format.

How do I retrieve past evaluations and scores from a knowledge base?

Retrieve past evaluations and scores by querying with a natural language request, which searches the knowledge base to surface relevant prior judgments and contextual facts from long-term memory.

What's the best way to surface recurring patterns from cross-session memory?

The best way to surface recurring patterns is to search across cross-session memory, applying fast indexing and selective filtering to locate and present recurring structures and insights concisely.