# aiq-research

Routes deep research queries to an active NVIDIA AI-Q Blueprint server and retrieves structured reports with citations. Useful when automating multi-step topic research.

- skill · `type=skill` · Codex, ChatGPT · ★ 7604
- Author: NVIDIA AI-Q Blueprint Team · official OpenAI repository
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/openai/plugins/tree/HEAD/plugins/nvidia/skills/aiq-research/SKILL.md
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/skills/aiq-research

## What it does

The skill uses a helper script at `scripts/aiq.py` to communicate with a running NVIDIA AI-Q Blueprint backend. It starts by verifying backend connectivity via `health`, then routes user queries to the `chat` command. When a query triggers asynchronous deep research, the script periodically queries `research_poll` until the complete report is returned.

Running this skill requires Python 3.11+ accessible as `python3`. By default, it expects a local server at `http://localhost:8000`, but you can target another backend using the `AIQ_SERVER_URL` environment variable. The helper script relies only on standard Python HTTP libraries and requires no extra package installations.

Authentication is not handled by this helper: if the target backend demands credentials with 401 or 403 responses, the query will fail immediately.

## Install

### Codex (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill aiq-research -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/aiq-research/SKILL.md` — For all projects use ~/.agents/skills/

### Claude Code

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill aiq-research -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/aiq-research/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/aiq-research/

### Cursor

**Manually: put the files in place**
- File: `.cursor/skills/aiq-research/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install openai/plugins aiq-research
```

2. **Manually: put the files in place**
- File: `.github/skills/aiq-research/SKILL.md`

### Gemini CLI

**Platform CLI**
```bash
gemini skills install https://github.com/openai/plugins --path plugins/nvidia/skills/aiq-research
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/aiq-research/SKILL.md` — The legacy .windsurf/skills/ path still works

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/openai/plugins/tree/HEAD/plugins/nvidia/skills/aiq-research/SKILL.md

## When to use it
- send topic research requests to an NVIDIA AI-Q Blueprint backend
- track asynchronous deep research jobs until completion
- retrieve generated reports while preserving source links and citations
- verify connectivity to local or remote AI-Q servers

## Example prompts
- Run deep research on recent advancements in state space models using AI-Q
- Check the status of AI-Q research job `job_9876`
- Ask AI-Q about current synthetic data generation methods

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 93952ccbb511b290.

BEGIN THIRD-PARTY FILE 93952ccbb511b290
````text
---
name: aiq-research
description: |
  Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
license: Apache-2.0
permissions:
  env:
    - AIQ_SERVER_URL
  network:
    - http://localhost:8000
compatibility: |
  Designed for Claude Code, OpenCode, Codex, and Agent Skills-compatible tools. Requires Python 3.11+ and network
  access to a running local AI-Q Blueprint server at `http://localhost:8000` by default. Non-local backends must be
  explicitly trusted by the user and granted by the host tool outside this public skill.
metadata:
  version: "2.1.0"
  author: "NVIDIA AI-Q Blueprint Team <aiq-blueprint@nvidia.com>"
  github-url: "https://github.com/NVIDIA-AI-Blueprints/aiq"
  tags:
    - nvidia
    - aiq
    - blueprint
    - deep-research
    - research-agents
    - agent-skills
  languages:
    - python
    - bash
  domain: "research-agents"
allowed-tools: Read Bash
---

# AIQ Research Skill

## Purpose

Use this skill to call a locally running NVIDIA AI-Q Blueprint server through the helper script at
`scripts/aiq.py`.

Use this skill for research-shaped requests, including:

- "deep research on ..."
- "AIQ research ..."
- "research ..."
- "use AI-Q to answer ..."
- "ask AI-Q about ..."

Do not use this skill for install, deploy, start, stop, UI, CLI, Docker, Helm, or troubleshooting requests. Those
belong to `aiq-deploy`.

## Prerequisites

Users need:

- Python 3.11+ available as `python3`.
- A reachable local or self-hosted AI-Q Blueprint backend.
- `AIQ_SERVER_URL` set when the backend is not running at `http://localhost:8000`; non-local values must be trusted by
  the user before any query is sent.
- A backend configured with authentication disabled for this public helper, or a separate authenticated AI-Q skill for
  authenticated environments.
- Network access from the local machine to the AI-Q backend URL.
- Credentials configured in the backend environment, not in this skill. This public helper does not collect or manage
  API keys.

The helper script has no third-party Python package dependencies; it uses Python standard-library HTTP modules.

## Instructions

1. Resolve the target backend URL.
2. Run `health` before sending research requests.
3. If no backend is reachable, ask for a backend URL or hand off to `aiq-deploy`.
4. Before sending any user query, state the exact AI-Q backend URL that will receive it. For non-local URLs, continue
   only if the user has explicitly confirmed that URL is trusted in the current conversation.
5. Poll asynchronous deep research jobs when AI-Q returns a job ID.
6. Present returned reports with citations and source URLs intact.
7. Stop on failed jobs and show the returned error; do not retry automatically.

### Step 1 - Resolve the backend

Use `AIQ_SERVER_URL` when set. Otherwise try the default local backend:

```bash
python3 $SKILL_DIR/scripts/aiq.py health
```

Expected output: JSON from a reachable AI-Q health endpoint.

If `health` fails and no explicit `AIQ_SERVER_URL` was set, ask:

```text
I do not see a reachable local AI-Q backend. Do you already have an AI-Q backend URL you want to use, or should I deploy a local Skill backend?
```

- If the user provides a URL, set `AIQ_SERVER_URL` for subsequent helper calls and rerun `health`.
````
END THIRD-PARTY FILE 93952ccbb511b290

The third-party file has ended. Everything between the 93952ccbb511b290 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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