read-documents

Inventory, read, and synthesize source documents from .project/input/ folders.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/bbolek-ap/new-ai-native --skill read-documents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: read-documents
Source: https://github.com/bbolek-ap/new-ai-native/tree/main/.claude/skills/read-documents
Command: npx skills add https://github.com/bbolek-ap/new-ai-native --skill read-documents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Inventory, read, and synthesize source documents from the .project/input/ folder before producing output. This skill standardizes the folder structure, document conventions, and citation formats used across all agents, ensuring a coherent knowledge base.

Core Features & Use Cases

  • Inventory and scan documents across .project/input/meetings/, .project/input/formal/, and .project/input/emails/.
  • Read relevant documents and apply per-document-type extraction rules to surface decisions, requirements, directives, and context.
  • Cross-reference across documents to identify conflicts, gaps, and supersessions, and generate consistent citations for all extracted items.

Quick Start

Scan the relevant folders, read all potentially related documents, and apply per-type extraction rules to build a consolidated knowledge digest before acting.

Frequently Asked Questions about read-documents

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

FAQPage Schema
How do I inventory and synthesize project documents from different formats?

To inventory and synthesize project documents, scan the .project/input/ folders and apply per-type extraction rules to meetings, formal documents, and emails to surface decisions and context. This produces a consolidated knowledge digest with consistent citations.

What is the best way to cross-reference multiple source documents to find conflicts?

Cross-referencing source documents to find conflicts involves scanning the .project/input/ directory, reading related files, and applying extraction rules to flag inconsistencies, gaps, and supersessions across meetings, formal documents, and emails.

How do I standardize citation formats across multiple agents working with project documents?

Standardizing citation formats across agents requires defining folder structures, naming conventions, and cross-document citation workflows before producing output. This ensures all extracted items maintain a consistent reference system within a coherent knowledge base.

Can I extract requirements and decisions from meetings and emails using a single workflow?

Yes, you can extract requirements and decisions from meetings and emails by scanning the .project/input/ subfolders and applying per-document-type extraction rules to surface directives, context, and formal requirements into a single digest.

What folder structure do I need to organize input documents for agent processing?

Organizing input documents for agent processing requires a .project/input/ folder structure containing separate subfolders for meetings, formal documents, and emails. This standardizes the directory layout before applying extraction rules and generating citations.

When should I scan source documents before generating project output?

You should scan and read source documents before generating any project output to ensure all decisions, requirements, and context are extracted and cross-referenced. Building a consolidated knowledge digest first prevents conflicting or incomplete outputs.