Add YourJob to your AI

Claude Code

Terminal-native: MCP for the coach, a plugin for the skills.

1. Create a personal token on your account page, then run the command below.
2. In any project: `claude` → "/mcp" shows YourJob connected. Ask for your brief, or say "load the skill for writing a campaign brief".
3. File-based skills: download the Claude pack, unzip, then `claude plugin install ./<folder>` (the pack ships a .claude-plugin manifest) — or `sh install.sh --claude`.

Copyclaude mcp add --transport http yourjob https://yourjob.completeaitraining.com/mcp --header "Authorization: Bearer <YOUR-TOKEN>"

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ChatGPT

Add as a connector; use the pack text in Projects or Custom GPTs.

1. ChatGPT → Settings → Connectors → enable Developer mode (Plus/Pro/Team/Enterprise) → "Create" → server URL: https://yourjob.completeaitraining.com/mcp → Authentication: OAuth. Log in with your subscriber email.
2. In a chat, enable the YourJob connector under "+" → Tools, then ask for your brief or your skills.
3. No connector access? Download the "ChatGPT / Kimi / Grok" pack and paste ALL-SKILLS.md (or a single skill) into a Project's instructions or a Custom GPT.

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Codex CLI

MCP via config.toml; skills into .agents/skills.

1. Add the block below to ~/.codex/config.toml (create a token on your account page).
2. Download the Codex pack: it lays skills out as .agents/skills/<id>/SKILL.md with an AGENTS.md index. Run `sh install.sh --codex` for a global install.

Copy[mcp_servers.yourjob]
url = "https://yourjob.completeaitraining.com/mcp"
http_headers = { Authorization = "Bearer <YOUR-TOKEN>" }

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Kimi (K2 / Kimi Code)

Standard mcpServers JSON, or paste the skills text.

1. Kimi Code / Kimi CLI read the standard mcpServers JSON (below). Add it to Kimi's MCP config file (see Kimi's docs for the current path — commonly ~/.kimi/mcp.json).
2. In the Kimi web app, paste ALL-SKILLS.md from the "ChatGPT / Kimi / Grok" pack into your system prompt or a Kimi+ project.

Copy{
  "mcpServers": {
    "yourjob": {
      "url": "https://yourjob.completeaitraining.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR-TOKEN>"
      }
    }
  }
}

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Grok

Paste skills text now; MCP when xAI enables custom connectors on your plan.

1. Download the "ChatGPT / Kimi / Grok" pack. Paste ALL-SKILLS.md into a Grok project/system prompt, or paste one SKILL.md at the start of a conversation.
2. Grok Build (xAI's coding CLI) reads SKILL.md folders in .agents/skills — use the Codex pack for that.

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Cursor / Windsurf / IDEs

MCP through the standard JSON; skills as rules.

1. Cursor: Settings → MCP → "Add new global MCP server" and paste the JSON below (or save it to ~/.cursor/mcp.json). Windsurf and most IDE agents accept the same shape.
2. Download the Cursor pack: .cursor/rules/<id>.mdc files, attached on demand.

Copy{
  "mcpServers": {
    "yourjob": {
      "url": "https://yourjob.completeaitraining.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR-TOKEN>"
      }
    }
  }
}

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Gemini CLI / Antigravity

Same JSON in settings.json; skills into ~/.agents/skills.

1. Gemini CLI: add the mcpServers JSON to ~/.gemini/settings.json.
2. Antigravity watches ~/.agents/skills — download the plain pack and run `sh install.sh --agents`. Install a focused pack, not everything: too many skills can exhaust the context window.

Copy{
  "mcpServers": {
    "yourjob": {
      "url": "https://yourjob.completeaitraining.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR-TOKEN>"
      }
    }
  }
}

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Any other tool

If it speaks MCP or reads SKILL.md, it works.

1. MCP: Streamable HTTP endpoint https://yourjob.completeaitraining.com/mcp with header Authorization: Bearer <token> (or OAuth for clients that support it).
2. Files: the plain pack has <id>/SKILL.md folders — the de-facto standard read by Claude, Codex, Gemini CLI, Antigravity, Kiro, OpenCode and Copilot.
3. REST: https://yourjob.completeaitraining.com/api/skills (public metadata) and https://yourjob.completeaitraining.com/api/skills/<id>?content=1 with your Bearer token.

Copy{
  "mcpServers": {
    "yourjob": {
      "url": "https://yourjob.completeaitraining.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR-TOKEN>"
      }
    }
  }
}

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