procgen-search

Search an indexed procgen corpus for semantically relevant papers with similarity scores.

1|Updated Feb 2, 2026

Search Tags:#documentation #research #semantic-search #papers #vector-embeddings #procgen

Ready to run

npx skills add https://github.com/ivalmart/Skilled-LLMs-CMPM280G --skill procgen-search

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: procgen-search
Source: https://github.com/ivalmart/Skilled-LLMs-CMPM280G/tree/main/.claude/skills/procgen-search
Command: npx skills add https://github.com/ivalmart/Skilled-LLMs-CMPM280G --skill procgen-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sentence-transformers, numpy, and includes scripts (resource) components.

What problem does it solve?

This skill helps researchers and developers quickly locate the most relevant procgen papers from a large indexed corpus, reducing time spent on manual browsing and enabling faster literature review.

Core Features & Use Cases

Semantic search over an indexed procgen corpus to return top matching documents with their paths, filenames, similarity scores, and previews.
Lightweight integration into RLM research workflows to quickly gather references and background materials.
Use case: a researcher queries for terrain generation constraints and receives a curated list of papers with previews to guide further reading.

Quick Start

Ask for a query and the skill will return the top matching procgen papers with paths and previews.

Frequently Asked Questions about procgen-search

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

FAQPage Schema

How do I find procgen papers by meaning instead of keywords?▼

You can find procgen papers by meaning using semantic search over an indexed corpus. It employs a local vector index built with sentence-transformers to return matching documents with paths, filenames, similarity scores, and previews.

What is the best way to search a local corpus for procedural generation literature?▼

The best way to search procedural generation literature is using a local vector index with sentence-transformers. This approach finds semantically relevant procgen papers and returns paths, filenames, similarity scores, and brief previews for each document.

How do I get targeted procgen research references for terrain generation constraints?▼

Query the indexed corpus to get targeted procgen research references for terrain generation constraints. Semantic search returns top matching papers with paths and previews, enabling faster literature review and guiding further reading.

Do I need sentence-transformers to run semantic search on procedural generation papers?▼

Yes, you need sentence-transformers and numpy to run semantic search on procedural generation papers. These dependencies build the local vector index required to locate and retrieve matching procgen documents.

Can I integrate procgen paper search directly into my research workflow?▼

You can integrate procgen paper search directly into research workflows as a lightweight step. It quickly gathers references and background materials by returning paths, filenames, similarity scores, and previews for matched documents.