context-guardian

Extract and store user facts, decisions, and entities into a searchable knowledge base.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Context switching during conversations and maintaining a reliable, searchable knowledge base is challenging; this Skill automatically tracks dialogue, extracts user facts, decisions, and entities, and stores them for on-demand retrieval.

Core Features & Use Cases

  • Automatic context tracking: continuously monitor conversations and capture relevant facts, decisions, and entities.
  • Knowledge repository: store entries under facts/, decisions/, entities/, and conversation archives for quick lookup.
  • On-demand retrieval: fetch matched knowledge when needed to inform ongoing interactions and decisions.

Quick Start

Invoke the context-guardian in a session and let it automatically extract and index knowledge as you converse.

Frequently Asked Questions about context-guardian

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

FAQPage Schema
How do I track conversation context and extract entities automatically?▼

To track conversation context across multi-turn dialogues, this Skill continuously monitors interactions to automatically capture user facts, decisions, and extracted entities. It stores entries for on-demand retrieval to inform ongoing interactions.

What is the best way to build a searchable knowledge base from chat history?▼

Building a searchable knowledge base from chat history is done by automatically extracting facts, decisions, and entities from multi-turn conversations. Captured knowledge is structured under facts/, decisions/, entities/, and conversation archives for quick lookup.

How does automatic knowledge retrieval work for ongoing conversations?▼

Automatic knowledge retrieval works by fetching matched facts, decisions, and entities from a structured knowledge repository to inform ongoing interactions. It continuously monitors multi-turn conversations and retrieves relevant stored knowledge on demand.

Can I store extracted decisions and facts in structured directories?▼

Yes, extracted decisions and facts can be stored in structured directories. The Skill applies automatic extraction rules to organize captured knowledge into workspace/knowledge subdirectories including facts/, decisions/, entities/, and conversations/ for structured storage.

Do I need any external dependencies to manage conversation context?▼

No external dependencies are required to manage conversation context. The Skill operates independently with no dependencies to automate context tracking, knowledge extraction, and storage into a searchable knowledge base without needing additional components.