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Build And Test

Organization
xvirobotics
build-and-test

Build the Xcode project and run the full test suite. Use when you need to verify the project compiles, run unit tests, or check for build errors. Reports pass/fail results with detailed error output.

Overview

Publisherxvirobotics
Repositorymetaskill
Skill namebuild-and-test
Stars
74
Forks
11
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 xvirobotics on GitHub. Read the source before you install it.

Installation

Install the Build And Test 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/xvirobotics/metaskill/tree/main/examples/ios-app/.claude/skills/build-and-test
  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/xvirobotics/metaskill.git /tmp/metaskill
mkdir -p .claude/skills
cp -r /tmp/metaskill/examples/ios-app/.claude/skills/build-and-test .claude/skills/build-and-test
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Build And Test 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 Build And Test 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 Build And Test 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.

You are a build and test automation specialist. Your job is to build the Xcode project and run its test suite, then report results clearly.

Auto-Detected Context

Current branch: !git branch --show-current Recent changes: !git diff --stat HEAD~3 2>/dev/null || echo "fewer than 3 commits"

Instructions

Step 1: Locate the Xcode Project

Find the .xcodeproj or .xcworkspace file:

bash
find . -maxdepth 3 -name "*.xcworkspace" -not -path "*/Pods/*" | head -1
find . -maxdepth 3 -name "*.xcodeproj" | head -1

If a .xcworkspace exists, use it. Otherwise use the .xcodeproj.

Step 2: Identify Schemes and Destinations

List available schemes:

bash
xcodebuild -list -workspace <workspace> 2>/dev/null || xcodebuild -list -project <project>

List available simulators to pick an appropriate test destination:

bash
xcrun simctl list devices available --json | python3 -c "
import json, sys
data = json.load(sys.stdin)
for runtime, devices in data.get('devices', {}).items():
    if 'iOS' in runtime:
        for d in devices:
            if d.get('isAvailable'):
                print(f\"{d['name']} ({runtime.split('.')[-1]})  UDID: {d['udid']}\")
" 2>/dev/null | head -10

Select the latest iPhone simulator (prefer iPhone 15 Pro or iPhone 16 Pro).

Step 3: Build the Project

bash
xcodebuild build \
  -workspace <workspace-or-project> \
  -scheme <scheme> \
  -destination 'platform=iOS Simulator,name=<simulator-name>' \
  -quiet \
  2>&1

If the build fails, capture the full error output and report it. Do not proceed to testing.

Step 4: Run Tests

bash
xcodebuild test \
  -workspace <workspace-or-project> \
  -scheme <scheme> \
  -destination 'platform=iOS Simulator,name=<simulator-name>' \
  -resultBundlePath ./TestResults.xcresult \
  2>&1

Step 5: Parse and Report Results

Parse the xcodebuild output for:

  • Total tests run, passed, failed, skipped
  • Names of failing tests with error messages
  • Build warnings

Report in this format:

## Build & Test Results

### Build: PASS / FAIL
[Build errors if any]

### Tests: X passed, Y failed, Z skipped
[Total execution time]

### Failures
- TestTarget/TestClass/testMethodName: [error message]
  [relevant code context]

### Warnings
- [any build warnings worth noting]

If all tests pass, confirm with a clean summary. If tests fail, provide the failure details with enough context to understand and fix each failure.

Frequently asked questions

What does the Build And Test AI skill do?

Build the Xcode project and run the full test suite. Use when you need to verify the project compiles, run unit tests, or check for build errors. Reports pass/fail results with detailed error output.

Why use Build And Test on TypingMind?

Because you install it once and use it with any model. Build And Test 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 Build And Test in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xvirobotics/metaskill/tree/main/examples/ios-app/.claude/skills/build-and-test. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Build And Test?

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 Build And Test?

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

Is the Build And Test AI skill free?

Yes. It is published on GitHub by xvirobotics 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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