using-tuist-generated-projects

tuist/agent-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/tuist/agent-skills --skill using-tuist-generated-projects
0 commentsdiscussion
summary

Use buildableFolders instead of sources and resources globs. Buildable folders stay synchronized with the file system, so adding or removing files does not require regeneration.

skill.md

Using Tuist Generated Projects

Quick Start

# Generate workspace without opening Xcode
tuist generate --no-open

# Build a scheme with xcodebuild
xcodebuild build -workspace App.xcworkspace -scheme App

# Run tests with xcodebuild
xcodebuild test -workspace App.xcworkspace -scheme AppTests -only-testing AppTests/MyTestCase

Project definition

Prefer buildable folders

Use buildableFolders instead of sources and resources globs. Buildable folders stay synchronized with the file system, so adding or removing files does not require regeneration.

let target = Target(
  name: "App",
  buildableFolders: [
    "App/Sources",
    "App/Resources",
  ]
)

Tag targets for focus

Use target tags to group areas of the project, for example:

  • tag:team:*
  • tag:feature:*
  • tag:layer:*

These tags make it easier to scope generation and testing later.

Example target metadata with tags:

let target = Target(
  name: "PaymentsUI",
  metadata: .metadata(tags: [
    "tag:team:commerce",
    "tag:feature:payments",
    "tag:layer:ui",
  ])
)

When working on a focused area, generate only what you need:

tuist generate tag:feature:payments
tuist generate PaymentsUI PaymentsTests

Align build configurations

Keep build configurations aligned between the project and external dependencies. Use PackageSettings(settings: .settings(configurations: [])) to mirror project configurations; mismatches emit warnings.

Workflows

Generate intentionally

  • Use tuist generate --no-open in automation and scripts to avoid launching Xcode.
  • Regenerate when any manifest changes (or the dependency graph changes).
  • If generation fails due to missing products, run tuist install to resolve dependencies and retry.

Build with xcodebuild

Use xcodebuild build against the generated workspace and scheme.

xcodebuild build \
  -workspace App.xcworkspace \
  -scheme App \
  -destination "generic/platform=iOS Simulator"

Test with xcodebuild

Use xcodebuild test for running tests locally. Prefer it over tuist test because tuist test regenerates the project on each invocation, which slows down iteration.

To optimize test run time:

  • Use --only-testing to run only the specific test suite or test case you are working on, instead of the full target.
  • Pick the scheme with the fewest compilation targets that still includes the test target you need. This minimizes build time before tests run.
# Run a specific test suite
xcodebuild test \
  -workspace App.xcworkspace \
  -scheme AppTests \
  -only-testing AppTests/MyTestSuite

# Run a single test case
xcodebuild test \
  -workspace App.xcworkspace \
  -scheme AppTests \
  -only-testing AppTests/MyTestSuite/testMyFunction

Guidelines

  • Keep buildableFolders paths aligned to the target's real file system layout.
  • Avoid overlapping buildableFolders with sources or resources globs in the same target.
  • Open Xcode manually when needed after running tuist generate --no-open.

Troubleshooting

Static side effects warnings: adjust product types deliberately. Use Target.product for local targets and PackageSettings(productTypes:) for external products. Making everything dynamic with .framework can compile and run, but it may hurt launch time. Prefer static products (static frameworks or libraries) when possible and when they do not introduce side effects.

Objective-C dependency crashes: add -ObjC or -force_load via OTHER_LDFLAGS on consuming targets as needed. Reference: https://tuist.dev/en/docs/guides/features/projects/dependencies#objectivec-dependencies.

how to use using-tuist-generated-projects

How to use using-tuist-generated-projects on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add using-tuist-generated-projects
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tuist/agent-skills --skill using-tuist-generated-projects

The skills CLI fetches using-tuist-generated-projects from GitHub repository tuist/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/using-tuist-generated-projects

Reload or restart Cursor to activate using-tuist-generated-projects. Access the skill through slash commands (e.g., /using-tuist-generated-projects) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.546 reviews
  • Li Jackson· Dec 20, 2024

    using-tuist-generated-projects reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Farah· Dec 16, 2024

    Solid pick for teams standardizing on skills: using-tuist-generated-projects is focused, and the summary matches what you get after install.

  • Nia Iyer· Dec 4, 2024

    We added using-tuist-generated-projects from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kofi Flores· Nov 23, 2024

    using-tuist-generated-projects fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Alexander Garcia· Nov 23, 2024

    using-tuist-generated-projects is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kabir Perez· Nov 11, 2024

    using-tuist-generated-projects has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chen Malhotra· Nov 3, 2024

    using-tuist-generated-projects reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Torres· Oct 22, 2024

    We added using-tuist-generated-projects from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Luis Mensah· Oct 14, 2024

    using-tuist-generated-projects has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Alexander Sethi· Oct 14, 2024

    Solid pick for teams standardizing on skills: using-tuist-generated-projects is focused, and the summary matches what you get after install.

showing 1-10 of 46

1 / 5