# Context

> Use this tool when you need to provide AI agents with local-first documentation, enabling them to understand their environment and make informed decisions. It solves problems related to knowledge sharing and context awareness, allowing agents to access relevant information and adapt to new situations. With inputs such as agent queries and outputs like contextual explanations, this tool is ideal for use cases where agents require localized knowledge to operate effectively.

Canonical page: https://skillsregistry.net/skills/neuledge-context  
JSON: https://api.skillsregistry.net/v1/skills/neuledge-context

## Description

Local-first documentation for AI agents

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b2w5zi56v0)
- **Repository:** <https://github.com/neuledge/context>

## 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": "neuledge-context"
    }
  }
}
```

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