# Gigi AI

> Gigi AI — ai-usegigi-gigi. Use this tool when you need to streamline LinkedIn outreach efforts with a personal touch, automating draft messages and reply management while allowing for human review and approval to ensure quality and relevance. It solves problems of inefficient outreach and response handling, saving time and increasing productivity. The tool takes in draft messages and replies as inputs, and outputs approved and sent messages, with a human-in-the-loop interface for vetoing and triaging responses.

Canonical page: https://skillsregistry.net/skills/ai-usegigi-gigi  
JSON: https://api.skillsregistry.net/v1/skills/ai-usegigi-gigi

## Description

LinkedIn outreach from Claude with a human veto: review, approve and send drafts, triage replies.

## Trust

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

## Facts

- **Version:** 1.5.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.usegigi%2Fgigi)

## Use it

MCP endpoint published by the skill: `https://usegigi.ai/api/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-usegigi-gigi"
    }
  }
}
```

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