Codex Dispatch

Community

100yenadmin

codex-dispatch

Use when routing well-specified implementation work from Fable to Codex or another side worker.

Overview

Publisher	100yenadmin
Repository	`fable-token-saving-skills-orchestrator`
Skill name	`codex-dispatch`
Stars	101
Forks	5
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 100yenadmin on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/100yenadmin/fable-token-saving-skills-orchestrator/tree/main/skills/codex-dispatch
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/100yenadmin/fable-token-saving-skills-orchestrator/tree/main/skills/codex-dispatch

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/100yenadmin/fable-token-saving-skills-orchestrator.git /tmp/fable-token-saving-skills-orchestrator
mkdir -p .claude/skills
cp -r /tmp/fable-token-saving-skills-orchestrator/skills/codex-dispatch .claude/skills/codex-dispatch

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Dispatch 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 Codex Dispatch 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 Codex Dispatch 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.

Codex Dispatch

Premium tokens buy judgment. Codex or side-worker capacity buys implementation volume when the task is well specified.

Dispatch When

the task is self-contained
the spec carries enough context
acceptance criteria are explicit
the work can happen on a side branch or bounded file set
Fable can review the result instead of typing it

Keep With Fable Or A Higher Local Lane When

the task is architecture, product strategy, or final judgment
the implementation depends on local-only tools the side worker lacks
the acceptance criteria are unclear
the task requires private credentials or live user action

Dispatch Packet

Include:

objective
repo/path/branch
files or areas involved
constraints and non-goals
pseudocode for hard parts
exact validation command or CI gate
proof boundary
expected final report shape

Mechanics

Some lanes are reachable through a CLI rather than a workflow model parameter. When a background shell launches a side worker, close stdin explicitly if the tool expects EOF. For Codex CLI, use:

bash
codex exec --cd <worktree> "<prompt>" < /dev/null

Without the redirected stdin, some background shells can leave the worker waiting at startup instead of doing work.

Skill Availability

Side workers do not automatically see every local Claude skill. Port skills on demand when a dispatch needs them; do not mirror an entire skill library by default.

Example:

bash
ln -sfn "$HOME/.claude/skills/<skill>" "$HOME/.codex/skills/<skill>"

Name the required skill in the dispatch packet and keep the accepted output bounded. If the side worker lacks a required skill and the work is not self-contained, keep the task with Fable or a local lane.

Review Rule

If the diff or report is large, ask a fast worker for a bounded digest first. Fable reads the digest and flagged hunks, not the whole raw output.

Attribution And Adjacent Tools

This dispatch pattern is inspired in part by blader/arbitrage, which focuses on premium-model judgment plus Codex implementation. Claude Code users who want a slash-command bridge to Codex review and delegation workflows can also look at openai/codex-plugin-cc.

FTSO's own guidance remains tool-agnostic: write the spec first, dispatch only bounded work, review the output before accepting it, keep turns dense while lanes run, and name the proof boundary.

Frequently asked questions

What does the Codex Dispatch AI skill do?

Use when routing well-specified implementation work from Fable to Codex or another side worker.

Why use Codex Dispatch on TypingMind?

Because you install it once and use it with any model. Codex Dispatch 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 Codex Dispatch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/100yenadmin/fable-token-saving-skills-orchestrator/tree/main/skills/codex-dispatch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Codex Dispatch?

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 Codex Dispatch?

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

Is the Codex Dispatch AI skill free?

Yes. It is published on GitHub by 100yenadmin 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Codex Dispatch

Dispatch When

Keep With Fable Or A Higher Local Lane When

Dispatch Packet

Mechanics

Skill Availability

Review Rule

Attribution And Adjacent Tools

Frequently asked questions

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