Codex Cli Specialist

Community

borghei

codex-cli-specialist

OpenAI Codex CLI and cross-platform skill authoring. Use when setting up Codex CLI, converting or syncing skills between Claude Code and Codex, configuring agents/openai.yaml, or validating cross-platform skill compatibility.

Overview

Publisher	borghei
Repository	`Claude-Skills`
Skill name	`codex-cli-specialist`
Stars	856
Forks	154
Bundled files	9
Links	Skill source Repository Homepage

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.
9 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by borghei on GitHub. Read the source before you install it.

Installation

Install the Codex Cli Specialist 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/borghei/Claude-Skills/tree/main/engineering/codex-cli-specialist
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.

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/borghei/Claude-Skills.git /tmp/Claude-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Skills/engineering/codex-cli-specialist .claude/skills/codex-cli-specialist

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

Use it in TypingMind

Enable Codex Cli Specialist 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 Cli Specialist 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 Cli Specialist 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 CLI Specialist

The agent converts Claude Code skills to Codex-compatible format, validates cross-platform compatibility, and builds skill registry manifests. It generates agents/openai.yaml configurations from SKILL.md frontmatter, runs 17 compatibility checks across both platforms, and produces skills-index.json for discovery systems.

Core Capabilities

Skill conversion — turn a Claude Code SKILL.md into a Codex-compatible skill by generating agents/openai.yaml and copying scripts/references/assets.
Cross-platform validation — run 17 checks across Claude Code, Codex CLI, and shared categories (frontmatter, openai.yaml, encoding, naming, size).
Index building — scan skill directories and emit a skills-index.json manifest for registries, discovery, and version pinning.
Codex CLI setup & operation — install, configure API access, and run with the right approval mode (suggest / auto-edit / full-auto).
Dual-target authoring — write skills that work on both platforms from one shared scripts/, references/, assets/ tree.
Distribution & sync — keep Claude Code and Codex in sync via shared repo, CI/CD conversion, or git hooks; publish via GitHub releases.

When to Use

Setting up or operating OpenAI Codex CLI.
Converting or syncing skills between Claude Code and Codex.
Configuring or reviewing agents/openai.yaml.
Validating a skill for dual-platform compatibility.
Building a skills-index.json for a skill library.

Clarify First

Before converting or building, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Task — convert a skill, validate cross-platform compatibility, or build a skills index (selects codex_skill_converter.py vs cross_platform_validator.py vs skills_index_builder.py)
Source path — the SKILL.md or skill directory to operate on (the input the scripts read)
Strictness — strict validation mode and whether to fail on warnings (sets --strict and the pass/fail gate)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Tools

Tool	Purpose	Command
`codex_skill_converter.py`	Convert a Claude Code SKILL.md into Codex format (`agents/openai.yaml`)	`python scripts/codex_skill_converter.py <skill_md> [--output-dir DIR] [--json]`
`cross_platform_validator.py`	Run 17 Claude Code + Codex + cross-platform compatibility checks on a skill dir	`python scripts/cross_platform_validator.py <skill_dir> [--strict] [--json]`
`skills_index_builder.py`	Build a `skills-index.json` manifest from a directory of skills	`python scripts/skills_index_builder.py <skills_dir> [--output FILE] [--format json\|human] [--category CAT]`

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

references/workflows.md — Quick Start, Tools Overview, the 5 core workflows (install, author, convert, validate, build index), Common Patterns, and deep per-tool parameter/output reference. Read when running a workflow or needing exact tool arguments.
references/configuration-and-distribution.md — agents/openai.yaml structure, discovery/locations, invocation patterns, cross-platform patterns, frontmatter compatibility, install/versioning, and sync/CI/CD/GitHub distribution. Read when configuring openai.yaml or distributing a library.
references/best-practices-and-troubleshooting.md — best practices (authoring, Codex usage, cross-platform, performance), anti-patterns, troubleshooting table, and success criteria. Read before shipping or when a tool misbehaves.
references/codex-cli-guide.md — full Codex CLI reference: installation, configuration, approval modes, skill system, invocation, built-in features, environment variables.
references/cross-platform-skills.md — writing skills for multiple agents (Claude Code, Codex, Cursor, Copilot, Goose): platform comparison, universal structure, per-platform config files, template.
assets/openai-yaml-template.yaml — production-grade Codex config template (instructions, tools, model selection, versioning).

Scope & Limitations

This skill covers:

Installing, configuring, and operating OpenAI Codex CLI
Converting Claude Code SKILL.md files into Codex-compatible format with agents/openai.yaml
Validating skill directories for dual-platform (Claude Code + Codex CLI) compatibility
Building skill registry manifests (skills-index.json) for discovery and distribution

This skill does NOT cover:

Writing the actual domain logic inside Python tool scripts (see senior-fullstack, code-reviewer, or the relevant domain skill)
Cursor, Windsurf, Cline, or Aider platform-specific configuration (see standards/ and root-level dotfiles like .cursorrules, .windsurfrules)
OpenAI API key management, billing, or rate-limit troubleshooting (out of scope -- refer to OpenAI documentation)
Automated testing or CI/CD pipeline authoring beyond skill validation (see senior-devops and templates/)

Integration Points

Skill	Integration	Data Flow
code-reviewer	Convert code-reviewer's SKILL.md to Codex format so it can run in Codex CLI	`codex_skill_converter.py` reads code-reviewer's SKILL.md and generates `agents/openai.yaml`
senior-fullstack	Validate fullstack skill's cross-platform compatibility after adding Codex support	`cross_platform_validator.py` checks both SKILL.md frontmatter and openai.yaml structure
senior-devops	Embed skill validation and index building into CI/CD pipelines	DevOps workflows call `cross_platform_validator.py --strict --json` and `skills_index_builder.py` as pipeline steps
tech-stack-evaluator	Evaluate whether Codex CLI fits a project's AI tooling stack	Tech stack evaluator references Codex CLI capabilities and configuration patterns from this skill
senior-architect	Architect multi-agent skill systems that span Claude Code and Codex CLI	Architect uses cross-platform skill patterns and index manifests to plan skill distribution

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 Cli Specialist AI skill do?

Why use Codex Cli Specialist on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/borghei/Claude-Skills/tree/main/engineering/codex-cli-specialist. 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 Cli Specialist?

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 Cli Specialist?

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

Is the Codex Cli Specialist AI skill free?

It is published on GitHub by borghei. Check the repository for licensing terms. 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 CLI Specialist

Core Capabilities

When to Use

Clarify First

Tools

References

Scope & Limitations

Integration Points

Bundled files

Frequently asked questions

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