Cubeplex Tdd logo

Cubeplex Tdd

Organization
cubeplexai
cubeplex-tdd

Use when implementing a cubeplex feature, business rule, reusable core behavior, or a bug fix whose contract will keep evolving — the red→green→refactor loop. This skill is the TDD loop and the when-to-TDD judgment; it defers the test taxonomy / placement / discipline to docs/testing.md rather than restating it. Triggers on phrases like "写测试", "先写个 test", "TDD", "e2e 还是 unit", "红绿重构".

Overview

Publishercubeplexai
Repositorycubeplex
Skill namecubeplex-tdd
Stars
533
Forks
46
Bundled files
Instructions only
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 cubeplexai on GitHub. Read the source before you install it.

Installation

Install the Cubeplex Tdd 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/cubeplexai/cubeplex/tree/main/.agents/skills/cubeplex-tdd
  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/cubeplexai/cubeplex.git /tmp/cubeplex
mkdir -p .claude/skills
cp -r /tmp/cubeplex/.agents/skills/cubeplex-tdd .claude/skills/cubeplex-tdd
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cubeplex Tdd 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 Cubeplex Tdd 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 Cubeplex Tdd 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.

cubeplex TDD

The test-first loop for cubeplex. This skill is the loop and the judgment — it does not restate the test rules. For what earns a test's place, the layer split, directory placement, real-services / real-LLM discipline, no-sleep / cleanup rules, and the "would this catch the bug?" check, read the authoritative source: docs/testing.md. Don't duplicate it here.

When TDD is the default

Feature work, business logic, reusable core behavior, and bug fixes where the behavior keeps evolving — the red→green loop is strongest when the test can express a stable contract future changes must preserve. Use judgment for one-off migrations / config / docs / mechanical rewrites (validate with the smallest realistic reproduction instead) — but always verify with a real command regardless.

The loop

  1. Red. Write the smallest test expressing a stable business invariant or contract (testing.md: "would this catch the bug?"). Watch it fail for the right reason — an assertion, not an import error.
  2. Green. Minimal code to pass.
  3. Refactor. Clean up with the test as the safety net.

The one placement rule you can't get wrong

The full taxonomy is in testing.md; this is the footgun worth repeating: if the test opens an AsyncSession, runs alembic, or hits the FastAPI app, it is an e2e test (backend/tests/e2e/) — full stop. Misplacing it into integration/ makes it run on every pre-push and fail the suite. Everything else → testing.md's "pick the directory by what the test hits".

Running

bash
make backend-test-e2e        # backend e2e
make backend-test-contracts  # plugin/EE contract tests
make test-ui-unit            # frontend unit
make frontend-test-e2e       # frontend Playwright (writing/debugging → /playwright-cli)

Per task, run only the changed-module tests; the pre-push hook runs the CI-equivalent make check-ci when you push code.

Frequently asked questions

What does the Cubeplex Tdd AI skill do?

Use when implementing a cubeplex feature, business rule, reusable core behavior, or a bug fix whose contract will keep evolving — the red→green→refactor loop. This skill is the TDD loop and the when-to-TDD judgment; it defers the test taxonomy / placement / discipline to docs/testing.md rather than restating it. Triggers on phrases like "写测试", "先写个 test", "TDD", "e2e 还是 unit", "红绿重构".

Why use Cubeplex Tdd on TypingMind?

Because you install it once and use it with any model. Cubeplex Tdd 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 Cubeplex Tdd in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cubeplexai/cubeplex/tree/main/.agents/skills/cubeplex-tdd. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cubeplex Tdd?

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 Cubeplex Tdd?

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

Is the Cubeplex Tdd AI skill free?

It is published on GitHub by cubeplexai. 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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