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adding-knowledge

Ingest PDFs and documents into Agent2's knowledge base for search.

Updated Apr 26, 2026
Search Tags:#knowledge base#AI#PDF#document ingestion#Agent2
One-click install
npx skills add https://github.com/duozokker/live-interview-prep-agent2-mvp --skill adding-knowledge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: adding-knowledge
Source: https://github.com/duozokker/live-interview-prep-agent2-mvp/tree/main/agent-two/.gemini/skills/adding-knowledge
Command: npx skills add https://github.com/duozokker/live-interview-prep-agent2-mvp --skill adding-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, shared.ingest, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables Agent2 agents to access and search through a collection of PDFs and documents, broadening their knowledge base and improving their ability to answer questions and provide information.

Core Features & Use Cases

  • Knowledge Collection Setup: Configure and manage collections of PDFs and documents for Agent2 to access.
  • Document Ingestion: Ingest documents into the Agent2 knowledge base for search.
  • Knowledge MCP Wiring: Wire Agent2 to Knowledge MCP for seamless knowledge retrieval.
  • Per-Tenant Scoping: Scope knowledge packages to different tenants or clients.
  • Use Case: For a law firm, this skill can be used to ingest legal documents into Agent2's knowledge base, allowing the AI to answer client questions related to specific legal cases.

Quick Start

Use the 'adding-knowledge' skill to ingest a PDF document into the Agent2 knowledge base by running the following command: python -m shared.ingest --collection my-collection --dir knowledge/books/my-collection/

Frequently Asked Questions about adding-knowledge

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

FAQPage Schema
How do I ingest PDF documents into an AI knowledge base for search?▼

You can ingest PDF documents into the Agent2 knowledge base by running the Python ingestion script, which processes and indexes files from a specified directory directly into a configured document collection for AI search.

What is per-tenant scoping for AI document collections?▼

Per-tenant scoping isolates ingested PDF knowledge packages to specific clients or tenants, ensuring an AI agent only retrieves document information authorized for that particular tenant group.

Do I need Python to set up document ingestion for Agent2?▼

Yes, Python is required to use this document ingestion skill, as it relies on a Python environment and processing tools to parse PDFs and wire Agent2 to the Knowledge MCP.

Can I wire Agent2 to Knowledge MCP for seamless document retrieval?▼

Yes, you can wire Agent2 to Knowledge MCP to enable seamless document retrieval, allowing the AI to search across ingested PDFs and provide information directly from configured knowledge base collections.

What is the best way to manage a PDF knowledge collection for a law firm AI?▼

The best way to manage a PDF knowledge collection for a law firm AI is to ingest legal documents into a scoped per-tenant collection, allowing the agent to answer client questions related to specific legal cases.

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