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Coding Backend Codex

Community
ahmadrosid
coding-backend-codex

Runtime prompt layer for Codex coding agent runs.

Overview

Publisherahmadrosid
Repositorynakama
Skill namecoding-backend-codex
Stars
492
Forks
91
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 ahmadrosid on GitHub. Read the source before you install it.

Installation

Install the Coding Backend 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/ahmadrosid/nakama/tree/main/packages/core/src/skills/bundled/coding-backend-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/ahmadrosid/nakama.git /tmp/nakama
mkdir -p .claude/skills
cp -r /tmp/nakama/packages/core/src/skills/bundled/coding-backend-codex .claude/skills/coding-backend-codex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coding Backend 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 Coding Backend 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 Coding Backend 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.

Use Codex for coding tasks when the Coding Agent Harness context selects it. Follow that context's command template and run it through Nakama's bash tool with codingAgent: true, cwd set to the target project, and a task-appropriate timeoutMs.

Prerequisites

  • Install Codex on the Nakama host if needed: npm install -g @openai/codex.
  • Authenticate with codex login or configure OPENAI_API_KEY. A missing API key does not imply that CLI login is missing.
  • Check codex --version and codex login status when installation or auth is uncertain.

One-shot coding

codex exec is non-interactive and works with Nakama's pipe-based bash tool. Do not request a PTY or use an interactive codex session there.

bash
codex exec --dangerously-bypass-approvals-and-sandbox --skip-git-repo-check --color never 'Make the requested change, run targeted checks, and summarize the result.'

Use --dangerously-bypass-approvals-and-sandbox only when the operator has authorized full host access, as in this setup. Do not use codex exec --full-auto: Codex rejects that option. Do not use codex exec -- --full-auto either: -- makes --full-auto prompt text, not an option. If a run fails with unexpected argument '--full-auto', correct the command and retry the task.

--skip-git-repo-check permits scratch work outside a git repository; it does not replace setting cwd to the right project for repo changes. Put the task prompt in one shell argument and quote it safely.

Reviews

From the target repository, use codex review --base origin/main for branch changes or codex review --uncommitted for local edits. Keep review work read-only unless the user asked for fixes.

After the run

Check the bash exit code and timeout result. Verify changed files and targeted tests before reporting success. For implementation tasks, follow the coding-agent skill's branch, commit, push, and PR instructions unless the user requested local-only work.

Frequently asked questions

What does the Coding Backend Codex AI skill do?

Runtime prompt layer for Codex coding agent runs.

Why use Coding Backend Codex on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahmadrosid/nakama/tree/main/packages/core/src/skills/bundled/coding-backend-codex. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Coding Backend 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 Coding Backend Codex?

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

Is the Coding Backend Codex AI skill free?

Yes. It is published on GitHub by ahmadrosid 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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