project-visitor

Scan research documents, extract metadata, and generate project index files.

Updated Aug 27, 2026

Search Tags:#project management #documentation #research #indexing #rag #metadata extraction

Ready to run

npx skills add https://github.com/sit-institute/docbot --skill project-visitor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: project-visitor
Source: https://github.com/sit-institute/docbot/tree/main/.github/skills/project-visitor
Command: npx skills add https://github.com/sit-institute/docbot --skill project-visitor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the management of research projects by automating the indexing of documents, extraction of key metadata, and generation of portfolio overviews, reducing manual administrative overhead.

Core Features & Use Cases

Project Indexing: Automatically scans and indexes project documents.
Metadata Extraction: Intelligently extracts crucial information like project titles, PI, budget, and timelines.
Portfolio Overviews: Generates consolidated reports for project portfolios.
Use Case: A principal investigator can use this Skill to quickly get a summary of all ongoing projects, their status, and key personnel without manually sifting through individual project folders.

Quick Start

Use the project-visitor skill to index the project with the ID 'ki-gesundheit-2024'.

Frequently Asked Questions about project-visitor

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

FAQPage Schema

How do I automatically extract metadata from research project documents?▼

Automated metadata extraction scans project documents to identify and pull key information like titles, principal investigators, budgets, and timelines. This eliminates manual administrative overhead by intelligently structuring the data for portfolio management.

What is the best way to index research projects and generate portfolio overviews?▼

Indexing research projects is best handled by automatically scanning document folders and creating project index files. This process generates consolidated portfolio overviews, allowing users to quickly view ongoing project statuses and key personnel.

Can I use local RAG for semantic document search across my project folders?▼

Yes, local RAG enables semantic document search and analysis directly within your project folders. It supports the automated ingestion of various document types to retrieve contextually relevant information without manual sifting.

Does automated document ingestion work with various unstructured research file types?▼

Automated ingestion supports various document types commonly found in research environments. It scans unstructured files to extract structured data, ensuring comprehensive project indexing and accurate metadata capture.

How do I get a consolidated summary of all ongoing research projects and their status?▼

Generating a consolidated summary of ongoing projects requires automated portfolio overviews. By scanning project documents and extracting metadata, the system creates a unified report detailing project status and key personnel.

What is needed to start indexing a research project using automated document scanning?▼

Indexing a research project requires pointing the tool at your project directory to initiate document scanning. The system then automatically creates project index files and extracts structured metadata without manual data entry.