Feature request: custom slash commands for localization (i18n via .codex/commands/)

Resolved 💬 1 comment Opened Jun 11, 2026 by Misha-42 Closed Jun 11, 2026

Feature request: custom slash commands for CLI localization

Problem: Codex CLI commands are hardcoded in English (/init, /plan, /review, etc.). Non-English speakers have to memorize English command names, which creates a language barrier.

Solution: Support custom slash commands via a directory of .md files (e.g. .codex/commands/). Each file acts as an alias: the filename is the command name, the content tells the AI what to do.

How it works (proven in Claude Code)

.codex/commands/
├── очистить.md     → "Clear context (/clear). Perform a full session clear."
├── план.md         → "Planning mode (/plan). Enter architecture planning."
├── коммит.md       → "Commit (/commit). Run git add + git commit."
└── ...

When user types /очистить, the AI reads очистить.md and executes the instruction — same as /clear.

Benefits

  • Zero core changes — no need to modify Codex CLI internals
  • User-defined — anyone can create commands without waiting for a release
  • Any language — Russian, Chinese, Arabic, etc.
  • Learning effect — English original in parentheses ((/clear)) helps users learn the original commands over time

Minimal spec

Mechanism:
  - User types /<command_name>
  - CLI looks for <command_name>.md in .codex/commands/
  - If found → content passed to AI as instruction
  - If not found → fallback to built-in commands

Requirements:
  - Format: Markdown (.md)
  - Filename = command name (any Unicode — Cyrillic, CJK, etc.)
  - Content: free text interpreted by AI

Working example

32 Russian commands implemented in Claude Code:
https://github.com/Misha-42/soda-ml-carbonation-control.claude/commands/

Impact

This is a zero-cost localization feature. It doesn't require translating the CLI itself — users localize it themselves. For Russian-speaking developers alone (millions on GitHub), this removes a significant UX barrier.

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Author: Misha-42, ML engineering student, Ufa, Russia.
Created as part of carbonation-control ML project.

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