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Codex

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longranger2
codex

Delegate coding tasks to Codex CLI for execution, or discuss implementation approaches with it. CodeX is a cost-effective, strong coder — great for batch refactoring, code generation, multi-file changes, test writing, and multi-turn implementation tasks. Use when the plan is clear and needs hands-on coding. Claude handles architecture, strategy, copywriting, and ambiguous problems better.

Overview

Publisherlongranger2
Repositoryclaude-gpt-workflow
Skill namecodex
Stars
81
Forks
12
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by longranger2 on GitHub. Read the source before you install it.

Installation

Install the Codex 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.
    https://github.com/longranger2/claude-gpt-workflow/tree/main/codex
  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/longranger2/claude-gpt-workflow.git /tmp/claude-gpt-workflow
mkdir -p .claude/skills
cp -r /tmp/claude-gpt-workflow/codex .claude/skills/codex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex 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 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 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 — Your Codex Coding Partner

Delegate coding execution to Codex CLI. CodeX turns clear plans into working code.

Critical rules

  • ONLY interact with CodeX through the bundled shell script. NEVER call codex CLI directly.
  • Run the script ONCE per task. If it succeeds (exit code 0), read the output file and proceed. Do NOT re-run or retry.
  • Do NOT read or inspect the script source code. Treat it as a black box.
  • ALWAYS quote file paths containing brackets, spaces, or special characters when passing to the script (e.g. --file "src/app/[locale]/page.tsx"). Unquoted [...] triggers zsh glob expansion.
  • Keep the task prompt focused. Aim for under ~500 words. Describe WHAT to do and key constraints, not step-by-step HOW. CodeX is an autonomous agent with full workspace access — it reads files, explores code, and figures out implementation details on its own.
  • Never paste file contents into the prompt. Use --file to point CodeX to key files — it reads them directly. Duplicating file contents in the prompt wastes tokens and adds no value.
  • Don't reference or describe the SKILL.md itself in the prompt. CodeX doesn't need to know about this skill's configuration.

How to call the script

The script path is:

~/.claude/skills/codex/scripts/ask_codex.sh

Minimal invocation:

bash
~/.claude/skills/codex/scripts/ask_codex.sh "Your request in natural language"

With file context:

bash
~/.claude/skills/codex/scripts/ask_codex.sh "Refactor these components to use the new API" \
  --file src/components/UserList.tsx \
  --file src/components/UserDetail.tsx

Multi-turn conversation (continue a previous session):

bash
~/.claude/skills/codex/scripts/ask_codex.sh "Also add retry logic with exponential backoff" \
  --session <session_id from previous run>

The script prints on success:

session_id=<thread_id>
output_path=<path to markdown file>

Read the file at output_path to get CodeX's response. Save session_id if you plan follow-up calls.

Decision policy

Call CodeX when at least one of these is true:

  • The implementation plan is clear and needs coding execution.
  • The task involves batch refactoring, code generation, or repetitive changes.
  • Multiple files need coordinated modifications following a defined pattern.
  • You want a practitioner's perspective on whether a plan is feasible.
  • The task is cost-sensitive and doesn't require deep architectural reasoning.
  • Writing or updating tests based on existing code.
  • Simple-to-moderate bug fixes where the root cause is identified.

Workflow

  1. Design the solution and identify the key files involved.
  2. Run the script with a clear, concise task description. Tell CodeX the goal and constraints, not step-by-step implementation details — it figures those out itself. For discussion, use a question-oriented task with --read-only.
  3. Pass relevant files with --file (2-6 high-signal entry points; CodeX has full workspace access and will discover related files on its own).
  4. Read the output — CodeX executes changes and reports what it did.
  5. Review the changes in your workspace.

For multi-step projects, use --session <id> to continue with full conversation history. For independent parallel tasks, use the Task tool with run_in_background: true.

Options

  • --workspace <path> — Target workspace directory (defaults to current directory).
  • --file <path> — Point CodeX to key entry-point files (repeatable, workspace-relative or absolute). Don't duplicate their contents in the prompt.
  • --session <id> — Resume a previous session for multi-turn conversation.
  • --model <name> — Override model (default: uses Codex config).
  • --reasoning <level> — Reasoning effort: low, medium, high (default: medium). Use high for code review, debugging, complex refactoring, or root cause analysis.
  • --sandbox <mode> — Override sandbox policy (default: workspace-write via full-auto).
  • --read-only — Read-only mode for pure discussion/analysis, no file changes.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Codex AI skill do?

Delegate coding tasks to Codex CLI for execution, or discuss implementation approaches with it. CodeX is a cost-effective, strong coder — great for batch refactoring, code generation, multi-file changes, test writing, and multi-turn implementation tasks. Use when the plan is clear and needs hands-on coding. Claude handles architecture, strategy, copywriting, and ambiguous problems better.

Why use Codex on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/longranger2/claude-gpt-workflow/tree/main/codex. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Codex?

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?

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

Is the Codex AI skill free?

Yes. It is published on GitHub by longranger2 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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