knowledge-retrieval

Search ingested knowledge entries, skill catalogs, Git logs, and ledger histories.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/Heretek-AI/heretek-skills --skill knowledge-retrieval-heretek-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge-retrieval
Source: https://github.com/Heretek-AI/heretek-skills/tree/main/skills/knowledge-retrieval
Command: npx skills add https://github.com/Heretek-AI/heretek-skills --skill knowledge-retrieval-heretek-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ingested knowledge across multiple sources is made searchable and retrievable to support informed decision-making.

Core Features & Use Cases

  • Knowledge search across knowledge_entries, skill_catalog, git_log, and ledger history
  • Skill discovery and catalog browsing to identify available capabilities
  • Auditing and provenance retrieval to track deliberations and decisions

Quick Start

Query the system to retrieve the most relevant knowledge entry for a given topic from ingested sources.

Frequently Asked Questions about knowledge-retrieval

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

FAQPage Schema
How do I search across ingested knowledge, skill catalogs, and Git histories to answer a specific question?

You can search across knowledge entries, skill catalogs, Git histories, and ledger deliberations by querying the system to filter and retrieve the most relevant ingested knowledge for your specific topic.

What is knowledge retrieval and how does provenance tracking work for ledger deliberations?

Knowledge retrieval identifies and fetches ingested knowledge from multiple sources. Provenance tracking works by auditing cross-source ledger deliberations and decisions to maintain a clear history of retrieved information.

Can I discover available skills by browsing a catalog within my existing database schemas?

Yes, you can browse the skill catalog to identify available capabilities and discover skills. This catalog discovery operates within existing database schemas and semantic pipelines to support integrated workflows.

What's the best way to filter knowledge entries from multiple integrated sources for decision support?

The best way to filter knowledge entries for decision support is to use the system's search and filtering capabilities across integrated workflows, which turn ingested knowledge from multiple sources into actionable insights.

Do I need specific database schemas or semantic pipelines to use cross-source knowledge search?

Yes, cross-source knowledge search satisfies functional requirements within existing database schemas and semantic pipelines. The retrieval interface is designed to operate within these integrated environments for accurate provenance tracking.