# Giljo HQ

> Giljo HQ — ai-giljo-hq. Use this tool when you need to provide AI coding agents with comprehensive context engineering, enabling them to understand product context, project missions, and 360-degree memory. It solves problems related to knowledge gaps and incomplete information, allowing agents to make informed decisions and generate accurate code. By integrating Giljo HQ, agents can receive contextual inputs and produce outputs that meet project requirements, making it ideal for complex coding tasks that require a deep understanding of the project's scope and objectives.

Canonical page: https://skillsregistry.net/skills/ai-giljo-hq  
JSON: https://api.skillsregistry.net/v1/skills/ai-giljo-hq

## Description

Context engineering for AI coding agents: product context, project missions, and 360 memory.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.0.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.giljo%2Fhq)
- **Repository:** <https://github.com/giljoai/giljo-hq>

## Use it

MCP endpoint published by the skill: `https://app.giljo.ai/mcp`

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": "ai-giljo-hq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-giljo-hq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-giljo-hq/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