nozomio-labs

Nia — Development skill for Claude Code

Development community

Nia is a context-augmentation layer for agents, primarily designed for coding agents.

How to install Nia

This entry records only its repository, not the path inside it, so there is no exact command to give. Open nozomio-labs/nia and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Nia does

Nia is a context-augmentation layer for agents, primarily designed for coding agents. It provides them with an up-to-date knowledge base and improves their performance by 27%.

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README

Nia - Index Anything. Search It with AI.

[![Website](https://img.shields.io/badge/Website-trynia.ai-blue)](https://trynia.ai) [![Documentation](https://img.shields.io/badge/Docs-docs.trynia.ai-green)](https://docs.trynia.ai) [![Y Combinator](https://img.shields.io/badge/Y%20Combinator-S25-orange)](https://www.ycombinator.com/companies/nozomio) [![Discord](https://img.shields.io/badge/Discord-Join%20Community-7289da)](https://discord.gg/BBSwUMrrfn)

**Index docs, repos, PDFs, and datasets -- then search them with AI. Backed by Y Combinator ($6.2M raised)**

Nia lets you index docs, repos, PDFs, datasets, spreadsheets, Slack, Google Drive, and more -- then gives your AI agent a search API to query them. Your agent gets real answers instead of hallucinations.

What is Nia?

Nia is an **API layer** that gives agents up-to-date, continuously monitored context across repositories, documentation, PDFs, datasets, Slack, Google Drive, and local knowledge sources. It handles indexing, search, reading, research, and handoffs so agents can work from real source material instead of guesswork.

You can use it with agents like Cursor or Claude Code as an MCP server, or build your own applications with the Nia API.

**Core Capabilities:**

Universal Indexing - Index GitHub repos, documentation sites, PDFs, arXiv papers, HuggingFace datasets, spreadsheets, and local folders
Universal Search - Sub-5s semantic search across all indexed sources
Package Search - Search 150M+ pre-indexed documents from PyPI, NPM, Crates.io, and Go modules -- no indexing required
Document Agent - Deploy an autonomous AI agent into any indexed PDF or document for deep research with cited answers
Data Extraction - Extract structured data from PDFs into JSON using custom schemas
Tracer - Search GitHub code without indexing using specialized sub-agents (Fast mode with Haiku, Deep mode with Opus)
Oracle Research Agent - Autonomous deep research across codebases