# super-research

> super-research — heldinhow-super-research. Use this tool when you need to streamline complex research tasks, combining multiple skills into one efficient framework to solve information gathering, analysis, and organization problems. It takes in broad research queries and outputs comprehensive, structured results, saving time and effort. Ideal for projects requiring in-depth knowledge gathering and analysis, such as academic papers, market research, or investigative reporting.

Canonical page: https://skillsregistry.net/skills/heldinhow-super-research  
JSON: https://api.skillsregistry.net/v1/skills/heldinhow-super-research

## Description

**The ultimate AI research system.** Combines the best of 8 top-rated research skills into one powerful framework.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/heldinhow-super-research)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "heldinhow-super-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/heldinhow-super-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/heldinhow-super-research/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt