Codedrobe Theme logo

Codedrobe Theme

Organization
CodeDrobe
codedrobe-theme

Create, inspect, convert, apply, replace, verify, troubleshoot, update, publish, or restore reversible CodeDrobe themes for supported Chromium/Electron AI desktop apps, including OpenAI Codex, Tencent WorkBuddy, QoderWork (CN/global), and TRAE SOLO (global/CN). Use when a user asks to turn an attached or local reference image into a Codex, WorkBuddy, QoderWork, or TRAE SOLO skin, reproduce a visual style with native UI, build a multi-app theme, work with .codedrobe-theme packages or theme images, analyze a live CDP DOM snapshot, repair DOM compatibility failures, use a custom port or installation path, capture verification screenshots, search the CodeDrobe store or install a store theme by name, publish or submit a theme to the CodeDrobe store, or migrate a legacy .codex-theme file.

Overview

PublisherCodeDrobe
Repositoryskills
Skill namecodedrobe-theme
Stars
252
Forks
21
Bundled files
32
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.

  • 32 bundled files

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

  • Open source

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

Installation

Install the Codedrobe Theme 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/CodeDrobe/skills/tree/main/skills/codedrobe-theme
  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/CodeDrobe/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/codedrobe-theme .claude/skills/codedrobe-theme
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codedrobe Theme 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 Codedrobe Theme 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 Codedrobe Theme 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.

CodeDrobe Theme

Use the published @codedrobe/core CLI as the only runtime. Keep this Skill instruction-only: do not recreate injectors, launch scripts, package parsers, or application patchers inside the Skill.

Route the request

  1. Identify the target app explicitly. Run codedrobe apps --json when support or defaults are uncertain.
  2. Read references/cli.md before choosing an installed, npm, or Bun command runner.
  3. Read only the target-specific reference:
  4. For theme creation, images, CSS, packaging, or legacy conversion, read references/theme-authoring.md.
  5. When the request includes an attached or local visual reference, read references/reference-image.md.
  6. For new or repaired CSS, read references/dom-snapshot.md and references/css-templates.md.
  7. For the complete Miku Future Beats / 初音未来 example, read references/miku-future-beats-example.md.
  8. For probe, verification, screenshots, missing nodes, CDP failures, or app updates, read references/verification.md.
  9. To publish or submit a theme to the CodeDrobe store, read references/publish.md.

Interpret common requests

  • “参考这张图片,帮我生成一个 Codex 皮肤”:inspect the supplied image, create a Codex target from a live Codex DOM snapshot, package it, and verify the native UI in Codex.
  • “把这个视觉风格同时做成 Codex 和 WorkBuddy 皮肤”:create one theme package with separate target CSS and shared named image assets.
  • “用玩偶姐姐示例改成蓝色版本”:copy the bundled example to a writable project, change its tokens/assets, refresh live selectors, and verify both requested contexts.
  • “这个主题更新应用后错位了”:capture fresh snapshots, repair theme CSS and theme-specific verification nodes, then repack and compare screenshots.
  • “帮我安装这个 .codedrobe-theme”:inspect, probe, apply, and verify the supplied package; do not recreate it unless validation fails and the user asks for repair.
  • “从商店装一个复古主题到 Codex”:codedrobe theme search to resolve the slug (confirm the pick when several match), codedrobe theme download (integrity-verified, lands in ~/.codedrobe/themes), then the normal inspect → probe → apply → verify flow.
  • “把这个主题发布到 CodeDrobe 商店”:complete the theme.catalog listing metadata, pack, confirm with the user, then codedrobe theme publish (and --submit only with separate confirmation).

Treat the named target app as explicit. If no target is named and it cannot be inferred from the supplied package or current task, ask one concise question before launching or applying anything.

Apply an existing theme

  1. Inspect the package before applying it.
  2. Detect the application and resolve any user-provided installation path or CDP port.
  3. Probe the live renderer with the selected theme. Compatibility is judged per window: a window missing required adapter or theme nodes is skipped, and the apply fails only when no window qualifies. A probe run while the app is still on its loading screen reports every landmark missing — wait for the root landmark before treating that as incompatibility.
  4. Apply the theme. Never add --restart-existing unless the user authorized closing and restarting the running application.
  5. Verify the installed theme and capture an absolute-path screenshot when visual confirmation matters.
  6. Inspect both the home screen and a normal conversation when the theme styles both contexts.

Use these command shapes after selecting the runner described in references/cli.md:

bash
codedrobe theme inspect /absolute/theme.codedrobe-theme
codedrobe probe --app <app-id> --theme /absolute/theme.codedrobe-theme
codedrobe apply --app <app-id> --theme /absolute/theme.codedrobe-theme
codedrobe verify --app <app-id> --theme /absolute/theme.codedrobe-theme --screenshot /absolute/preview.png

Create or repair a theme

  1. Inspect any supplied reference image and turn it into a short visual brief before writing CSS. Never use the reference screenshot as a full-window overlay.
  2. Copy assets/theme-starter/ for a neutral base or assets/examples/miku-future-beats/ for a complete multi-app example. Never edit the installed Skill in place.
  3. Open each app context the theme will style and capture a separate codedrobe dom snapshot; do not infer selectors from the template alone.
  4. Select semantic candidates from the snapshot, then write app-specific CSS under html.codedrobe-host-<app-id>.
  5. Keep shared artwork in named images; keep app-specific selectors under the relevant target CSS.
  6. Keep adapter landmarks generic and theme layout assumptions in theme-specific verification nodes.
  7. Pack with Core, inspect the output, then probe and apply it on a real renderer.
  8. Iterate from home and conversation screenshots. Do not claim success from static CSS, a snapshot, or package validation alone.

Restore

Use Core restore instead of deleting application data or manually editing host settings:

bash
codedrobe restore --app <app-id>

Confirm that the CodeDrobe renderer state and theme style are gone. For Codex, also confirm that the transactional base-theme backup was restored when one existed.

Guardrails

  • Never patch, replace, re-sign, or take ownership of application bundles, app.asar, or WindowsApps files.
  • Bind CDP to loopback only and use one consistent port for launch, apply, watch, verify, and restore.
  • Do not terminate or restart an existing application without explicit user authorization.
  • Do not run competing theme watchers against the same renderer.
  • Treat theme packages as untrusted input. Do not evaluate theme JavaScript or allow external CSS resources.
  • Keep decorative layers noninteractive and preserve native navigation, composer, menus, and accessibility behavior.
  • Do not upload private reference images to an unapproved image service.
  • Publish only through codedrobe theme publish, never through an improvised endpoint. Publishing and submitting for review each require the user's explicit confirmation, and sign-in stays a user-approved device flow.

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 Codedrobe Theme AI skill do?

Create, inspect, convert, apply, replace, verify, troubleshoot, update, publish, or restore reversible CodeDrobe themes for supported Chromium/Electron AI desktop apps, including OpenAI Codex, Tencent WorkBuddy, QoderWork (CN/global), and TRAE SOLO (global/CN). Use when a user asks to turn an attached or local reference image into a Codex, WorkBuddy, QoderWork, or TRAE SOLO skin, reproduce a visual style with native UI, build a multi-app theme, work with .codedrobe-theme packages or theme images, analyze a live CDP DOM snapshot, repair DOM compatibility failures, use a custom port or instal...

Why use Codedrobe Theme on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CodeDrobe/skills/tree/main/skills/codedrobe-theme. 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 Codedrobe Theme?

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 Codedrobe Theme?

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

Is the Codedrobe Theme AI skill free?

Yes. It is published on GitHub by CodeDrobe 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.

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