Codex Coder logo

Codex Coder

Organization
sno-ai
codex-coder

Route production coding tasks to the user-level Shell, TypeScript, Python, or Rust Codex workflow. Use for "codex-coder", "Codex write", "generate with Codex", language migrations, or mixed Shell/TypeScript/Python/Rust implementation when Codex should choose the correct language specialist automatically.

Overview

Publishersno-ai
Repositorysno-station-skills
Skill namecodex-coder
Stars
857
Forks
609
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

    Published by sno-ai on GitHub. Read the source before you install it.

Installation

Install the Codex Coder 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/sno-ai/sno-station-skills/tree/main/skills/M-build-and-rollout/codex-coder/overlay/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/sno-ai/sno-station-skills.git /tmp/sno-station-skills
mkdir -p .claude/skills
cp -r /tmp/sno-station-skills/skills/M-build-and-rollout/codex-coder/overlay/codex .claude/skills/codex-coder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Coder 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 Coder 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 Coder 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 Coder Router

Carry the task's finite time budget into the coding assignment, including test time. Require a duration estimate before each targeted test run; full evaluation, unit, integration, or repository suites require the owner's explicit request, not dispatcher approval. New security checks require the owner's specific approval; auxiliary checks must not block the requested function or development work.

Act as a thin dispatcher. Select the language skill, then let that skill own repository discovery, prompting, implementation, verification, and refinement. Do not keep a second copy of language rules here.

Codex runs with the sandbox off

Keep the owner's configured sandbox_mode = "danger-full-access"; do not override it in a dispatch, config, flag, or profile. A connection or credential error does not identify its cause. Inspect the effective configuration, actual endpoint, and error; repair the observed cause within existing authority. Preserve valid results from unaffected tests.

Route the Target Language

Use this precedence order:

  1. The language or destination the user explicitly requested.
  2. The files the task must create or change.
  3. The repository's manifest, immediate callers, and nearby tests.
  4. For a migration, the language being produced; treat the source language as context.
  5. For generated code, the maintained source or generator language unless the user explicitly asks to edit generated output.

Ask one concise clarification only when those signals still do not identify the destination. Do not infer a language from personal preference or tool availability.

DestinationStrong signalsRequired skill
Bash or shell.sh, a Bash shebang, shell CLI, automation, process wrapper, or Git/infra helper$shellscript-coder
TypeScript or TSX.ts, .tsx, .mts, .cts, tsconfig.json, a typed Node or React target$ts-coder
Python.py, pyproject.toml, Python service, package, script, or test target$python-coder
Rust.rs, Cargo.toml, Cargo workspace, crate, Rust CLI, service, library, or FFI target$rust-coder

JavaScript without a TypeScript target is not automatically TypeScript. An unsupported destination must be surfaced instead of silently routed to the nearest skill.

Load the Canonical Skill

Resolve the user-level skill root as ${CODEX_HOME:-$HOME/.codex}/skills. For every selected language:

  1. Read the corresponding SKILL.md completely.
  2. Read every reference that skill marks as required for the task.
  3. Follow that skill as the execution contract, including its context gathering, language rules, direct implementation, verification, and correction loop.

The canonical entrypoints are:

  • ${CODEX_HOME:-$HOME/.codex}/skills/shellscript-coder/SKILL.md
  • ${CODEX_HOME:-$HOME/.codex}/skills/ts-coder/SKILL.md
  • ${CODEX_HOME:-$HOME/.codex}/skills/python-coder/SKILL.md
  • ${CODEX_HOME:-$HOME/.codex}/skills/rust-coder/SKILL.md

Do not substitute a generic coding workflow or launch a nested Codex process. The selected language skill executes directly in the current session. After completing TypeScript or Python implementation, run $code-simplifier, when it is installed, on the changed production code before final verification.

Mixed-Language Work

Use every language skill required by the requested output. Keep one shared task plan and one cross-language contract.

  1. Identify the files and contract owned by each language.
  2. Settle shared schemas, wire formats, command behavior, and error semantics before implementation.
  3. Implement the contract owner first, then its consumers.
  4. Apply each language skill only to its language's files.
  5. Run each language's focused checks plus the smallest cross-language integration check.

Do not force a mixed task through one specialist and do not launch competing implementations of the same contract.

Failure Boundary

The language skills are optional. If a selected language skill is not installed, follow the repository's own conventions and say which skill was missing; if an installed skill names a reference that is missing, search its installed roots, read it, and resume. Continue independent repository inspection meanwhile. Ask only for access or an artifact that investigation proves only the owner can supply; do not park the task or emulate unread instructions.

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 Coder AI skill do?

Route production coding tasks to the user-level Shell, TypeScript, Python, or Rust Codex workflow. Use for "codex-coder", "Codex write", "generate with Codex", language migrations, or mixed Shell/TypeScript/Python/Rust implementation when Codex should choose the correct language specialist automatically.

Why use Codex Coder on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sno-ai/sno-station-skills/tree/main/skills/M-build-and-rollout/codex-coder/overlay/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 Coder?

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 Coder?

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

Is the Codex Coder AI skill free?

Yes. It is published on GitHub by sno-ai under the Apache-2.0 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 👇