Gjc Delegation logo

Gjc Delegation

CommunityPopular
Yeachan-Heo
gjc-delegation

Delegate planning and execution workflows to gajae-code via the coordinator MCP server.

Overview

PublisherYeachan-Heo
Repositorygajae-code
Skill namegjc-delegation
Stars
2.8K
Forks
385
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Yeachan-Heo on GitHub. Read the source before you install it.

Installation

Install the Gjc Delegation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Yeachan-Heo/gajae-code.git /tmp/gajae-code
mkdir -p .claude/skills
cp -r /tmp/gajae-code/plugins/gajae-code/skills/gjc-delegation .claude/skills/gjc-delegation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gjc Delegation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gjc Delegation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gjc Delegation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GJC delegation

This plugin exposes gajae-code's coordinator MCP server so a host agent can delegate whole workflows to GJC and receive durable turn status plus artifacts.

Tools

ToolWorkflowGJC skillPurpose
gjc_delegate_planplan/skill:ralplanDelegate consensus planning to GJC (runs /skill:ralplan to a pending-approval plan).
gjc_delegate_executeexecute/skill:ultragoalDelegate execution to GJC (runs /skill:ultragoal to completion with verification).

Fail-closed safety

The bundled MCP config sets GJC_COORDINATOR_MCP_WORKDIR_ROOTS to the host project directory and does not set GJC_COORDINATOR_MCP_MUTATIONS. Delegation is read-only until the user explicitly enables a mutation class and passes allow_mutation: true per call. GJC_COORDINATOR_MCP_REPO is a namespace label only, never a filesystem path.

Codex resume bridge correlation

After registering an app-server handoff with gjc_coordinator_register_codex_handoff, pass the same session_id as codex_host_session_id on delegate calls so new GJC sessions auto-bind to the Codex thread for wake-on-completion and questions. Acknowledge durable wakes by wake_key with gjc_coordinator_ack_codex_handoff; heartbeats are unsupported (automation_update_unavailable), so delivery is event-driven with startup drain.

Polling

Each delegate returns a turn_id. Poll gjc_coordinator_await_turn (bounded) or gjc_coordinator_watch_events for the delegation.started event and the terminal turn state. Turn state is the source of truth, not terminal scrollback.

Frequently asked questions

What does the Gjc Delegation AI skill do?

Delegate planning and execution workflows to gajae-code via the coordinator MCP server.

Why use Gjc Delegation on TypingMind?

Because you install it once and use it with any model. Gjc Delegation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gjc Delegation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yeachan-Heo/gajae-code/tree/main/plugins/gajae-code/skills/gjc-delegation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gjc Delegation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gjc Delegation?

As many as you like. As long as a model supports skills, you can use Gjc Delegation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gjc Delegation AI skill free?

Yes. It is published on GitHub by Yeachan-Heo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇