# ResearchGravity

> ResearchGravity — dicoangelo-researchgravity. Use this tool when you need to capture and analyze complex signals for frontier intelligence, and architect intelligent systems to stay ahead of the curve. ResearchGravity solves problems related to multi-tier signal capture, analysis, and decision-making, providing a robust framework for AI research. It integrates with git, accepting code repositories as input and outputting actionable insights and intelligent system architectures.

Canonical page: https://skillsregistry.net/skills/dicoangelo-researchgravity  
JSON: https://api.skillsregistry.net/v1/skills/dicoangelo-researchgravity

## Description

Metaventions AI Research Framework — Multi-tier signal capture for frontier intelligence. Architected Intelligence.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Dicoangelo/ResearchGravity)

## 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": "dicoangelo-researchgravity"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dicoangelo-researchgravity` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dicoangelo-researchgravity/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