# academic-deep-research

> Use this tool when you need to conduct thorough and transparent investigations on complex topics, solving problems related to information accuracy and depth of analysis. It provides rigorous research with comprehensive outputs, addressing use cases such as academic studies, technical reports, and in-depth evaluations. Ideal for situations requiring detailed insights and credible sources, with inputs including research questions and topics, and outputs comprising detailed reports and findings.

Canonical page: https://skillsregistry.net/skills/kesslerio-academic-deep-research  
JSON: https://api.skillsregistry.net/v1/skills/kesslerio-academic-deep-research

## Description

Transparent, rigorous research with full.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kesslerio-academic-deep-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": "kesslerio-academic-deep-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kesslerio-academic-deep-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kesslerio-academic-deep-research/pull`

---
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