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Typescript Intel

Listed
onerbaris·vlatest·backend

Provides accurate TypeScript code completion, error detection, and refactoring suggestions based on project context.

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This skill no longer installs under the name typescript-intel. onerbaris/typescript-intel is deleted or private, so it cannot be installed from.

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What we know about this skill

Publisher

onerbaris

Taken from the source listing. We haven't verified who controls this account.

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Live repository

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Not scanned. repository not found or private Source recorded as onerbaris/typescript-intel.
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About this skill

What it does

The typescript-intel skill provides intelligent code completion and suggestions specifically for TypeScript projects. It leverages type information to offer more accurate and relevant recommendations than generic code completion tools, improving developer productivity. This skill can also analyze existing code to provide insights and suggest improvements based on TypeScript best practices.

When to use it

  • Developing new TypeScript applications: Get intelligent suggestions as you write code, reducing errors and speeding up development.
  • Refactoring existing TypeScript codebases: Receive recommendations for improving code quality and adhering to TypeScript conventions.
  • Learning TypeScript: Understand how types work and get guidance on using them effectively in your projects.
  • Debugging TypeScript issues: Quickly identify potential type-related errors and receive suggestions for fixing them.

Key capabilities

  • TypeScript Code Completion
  • Type-aware Suggestions
  • Code Analysis & Improvement Recommendations
  • Adherence to TypeScript Best Practices

Example prompts

  • "Suggest the next line of code in this function: function calculateSum(a: number, b: number) {"
  • "What are the possible types for the variable 'user'?"
  • "Analyze this TypeScript code and suggest improvements."

Tips & gotchas

  • Requires a TypeScript project context to be effective. The AI agent needs access to relevant .ts or .tsx files.
  • Accuracy depends on the complexity of the codebase; very large projects may require more processing time.