# groundly

> groundly — paulhondola-groundly. Use this tool when you need to manage and transfer knowledge bases for AI agents in a local-first approach, enabling seamless collaboration and version control through git integration. It solves problems of data siloing and facilitates knowledge sharing across agents, allowing for more efficient and effective decision-making. Ideal for use cases where decentralized and flexible knowledge management is crucial, such as multi-agent systems and edge AI applications.

Canonical page: https://skillsregistry.net/skills/paulhondola-groundly  
JSON: https://api.skillsregistry.net/v1/skills/paulhondola-groundly

## Description

Local-first transferable knowledge bases for AI agents

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/paulhondola/groundly)

## 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": "paulhondola-groundly"
    }
  }
}
```

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