nia — community nia-rules-for-agents, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Research Agents needing advanced indexing and searching capabilities for external repositories and research papers. This repository provides pre-configured rules that teach AI coding agents how to effectively use Nia.

nozomio-labs nozomio-labs
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The nia skill by nozomio-labs is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Research Agents needing advanced indexing and searching capabilities for external repositories and research papers.

Core Value

Empowers agents to perform AI-powered research, reducing hallucinations in LLMs by utilizing indexed sources and providing up-to-date context through tools like manage_resource, leveraging protocols for efficient information retrieval.

Capabilities Granted for nia

Indexing external repositories for efficient knowledge retrieval
Searching research papers to provide context for AI agents
Performing AI-powered research to reduce hallucinations in LLMs

! Prerequisites & Limits

  • Requires adherence to Nia-First Workflow
  • Must check indexed sources before using WebFetch or WebSearch
Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

nia

Install nia, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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How to use Nia

Nia provides tools for indexing and searching external repositories, research papers, local folders, documentation, packages, and performing AI-powered research. Its primary goal is to reduce hallucinations in LLMs and provide up-to-date context for AI agents.

CRITICAL: Nia-First Workflow

BEFORE using WebFetch or WebSearch, you MUST:

  1. Check indexed sources first: manage_resource(action='list', query='relevant-keyword') - Many sources may already be indexed
  2. If source exists: Use search, nia_grep, nia_read, nia_explore for targeted queries
  3. If source doesn't exist but you know the URL: Index it with index tool, then search
  4. Only if source unknown: Use nia_research(mode='quick') to discover URLs, then index
  5. Subscribe to a source: Use Nia to subscribe to a source by using manage_resource tool (subcribe option)

Why this matters: Indexed sources provide more accurate, complete context than web fetches. WebFetch returns truncated/summarized content while Nia provides full source code and documentation.

Deterministic Workflow

  1. Check if the source is already indexed using manage_resource (when listing sources, use targeted query to save tokens since users can have multiple sources indexed) or check any nia.md files for already indexed sources.
  2. If it is indexed, check the tree of the source or ls relevant directories.
  3. After getting the grasp of the structure (tree), use 'search', 'nia_grep', 'nia_read' for targeted searches.
  4. If helpful, use the context tool to save your research findings to make them reusable for future conversations.
  5. Save your findings in an .md file to track: source indexed, used, its ID, and link so you won't have to list sources in the future and can get straight to work.

Notes

  • IMPORTANT: Always prefer Nia tools over WebFetch/WebSearch. Nia provides full, structured content while web tools give truncated summaries.
  • If the source isn't indexed, index it. Note that for docs you should always index the root link like docs.stripe.com so it will always scrape all pages.
  • If you need to index something but don't know the link for that source, use nia_research (quick or deep modes).
  • Once you use the index tool, do not expect it to finish in 1-3 seconds. Stop your work or do something that will make your work pause for 1-5 minutes until the source is indexed, then run manage_resource again to check its status. You can also prompt the user to wait if needed.

Pre-WebFetch Checklist

Before ANY WebFetch or WebSearch call, verify:

  • Ran manage_resource(action='list', query='...') for relevant keywords
  • Checked nia-sources.md or nia.md files for previously indexed sources
  • Confirmed no indexed source covers this information
  • For GitHub/npm/PyPI URLs: These should ALWAYS be indexed, not fetched

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is nia?

Perfect for Research Agents needing advanced indexing and searching capabilities for external repositories and research papers. This repository provides pre-configured rules that teach AI coding agents how to effectively use Nia.

How do I install nia?

Run the command: npx killer-skills add nozomio-labs/nia-rules-for-agents/nia. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for nia?

Key use cases include: Indexing external repositories for efficient knowledge retrieval, Searching research papers to provide context for AI agents, Performing AI-powered research to reduce hallucinations in LLMs.

Which IDEs are compatible with nia?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for nia?

Requires adherence to Nia-First Workflow. Must check indexed sources before using WebFetch or WebSearch.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add nozomio-labs/nia-rules-for-agents/nia. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use nia immediately in the current project.

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