ts-google

pproenca/dot-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/pproenca/dot-skills --skill ts-google
0 commentsdiscussion
summary

Comprehensive TypeScript style guide based on Google's internal standards, designed for AI agents and LLMs. Contains 45 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

skill.md

Google TypeScript Best Practices

Comprehensive TypeScript style guide based on Google's internal standards, designed for AI agents and LLMs. Contains 45 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

When to Apply

Reference these guidelines when:

  • Writing new TypeScript code
  • Organizing modules and imports
  • Designing type annotations and interfaces
  • Creating classes and functions
  • Reviewing code for style consistency
  • Refactoring existing TypeScript code

Rule Categories by Priority

Priority Category Impact Prefix
1 Module Organization CRITICAL module-
2 Type Safety CRITICAL types-
3 Class Design HIGH class-
4 Function Patterns HIGH func-
5 Control Flow MEDIUM-HIGH control-
6 Error Handling MEDIUM error-
7 Naming & Style MEDIUM naming-
8 Literals & Coercion LOW-MEDIUM literal-

Quick Reference

1. Module Organization (CRITICAL)

2. Type Safety (CRITICAL)

3. Class Design (HIGH)

4. Function Patterns (HIGH)

5. Control Flow (MEDIUM-HIGH)

6. Error Handling (MEDIUM)

7. Naming & Style (MEDIUM)

8. Literals & Coercion (LOW-MEDIUM)

How to Use

Read individual reference files for detailed explanations and code examples:

Reference Files

File Description
AGENTS.md Complete compiled guide with all rules
references/_sections.md Category definitions and ordering
assets/templates/_template.md Template for new rules
metadata.json Version and reference information
how to use ts-google

How to use ts-google 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 ts-google
2

Execute installation command

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

$npx skills add https://github.com/pproenca/dot-skills --skill ts-google

The skills CLI fetches ts-google from GitHub repository pproenca/dot-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/ts-google

Reload or restart Cursor to activate ts-google. Access the skill through slash commands (e.g., /ts-google) 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

4.857 reviews
  • Nia Agarwal· Dec 24, 2024

    ts-google has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Shikha Mishra· Dec 20, 2024

    ts-google is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Charlotte Sharma· Dec 20, 2024

    Useful defaults in ts-google — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Anaya Harris· Dec 20, 2024

    ts-google fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Amina Farah· Dec 8, 2024

    Solid pick for teams standardizing on skills: ts-google is focused, and the summary matches what you get after install.

  • William Zhang· Nov 27, 2024

    ts-google has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 19, 2024

    Keeps context tight: ts-google is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Neel Brown· Nov 15, 2024

    Solid pick for teams standardizing on skills: ts-google is focused, and the summary matches what you get after install.

  • Yash Thakker· Nov 11, 2024

    Useful defaults in ts-google — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Arjun Srinivasan· Nov 11, 2024

    ts-google is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

showing 1-10 of 57

1 / 6