nia

Overview

An AI agent skill for Nia that provides tools for indexing and searching code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, and packages. Its primary goal is to reduce LLM hallucinations by providing up-to-date context from multiple sources. All operations run through shell scripts that call the Nia API.

Key Features

• Multi-Source Indexing: Index GitHub repositories, documentation sites, arXiv research papers, HuggingFace datasets, local folders, Slack workspaces, and Google Drive in a unified system
• Universal Search: Search across all indexed sources simultaneously, with specialized grep for repository code and package source code (npm, PyPI, crates.io, Go, RubyGems)
• Advanced Research Tools: Includes an autonomous Oracle research agent (Pro tier), live GitHub code search via Tracer without pre-indexing, and deep research capabilities
• Collaboration Integrations: Connect Slack workspaces (OAuth or BYOT) and Google Drive for indexing conversations and documents alongside code

Who is this for?

• Developers using AI coding agents who want to reduce hallucinations by grounding responses in actual, up-to-date code and documentation
• Research teams who need to index and search across papers, datasets, and code repositories from a unified interface
• Teams that want their AI agents to search across Slack conversations, Google Drive documents, and code repositories simultaneously for comprehensive context