Accelint Ts Performance
CheckedAnalyzes TypeScript code for performance bottlenecks using advanced static analysis and provides actionable optimization suggestions.
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gohypergiant
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This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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Scanned gohypergiant/agent-skills at fe1ce07cb2.
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About this skill
What it does
This skill, Accelint Ts Performance, systematically analyzes TypeScript codebases to identify performance bottlenecks. It combines an audit workflow with expert-level optimization patterns specifically focused on runtime performance. The tool highlights potential anti-patterns and provides suggestions for improvement, but emphasizes that users should carefully evaluate trade-offs before applying any optimizations. This is distinct from general best practices; use the accelint-ts-best-practices skill for those concerns.
When to use it
- When optimizing JavaScript/TypeScript codebases for runtime performance.
- To identify potential performance anti-patterns in utility functions, formatters, parsers, and validators.
- Before making significant changes or deployments where performance is critical.
Key capabilities
- Static analysis of TypeScript code to detect performance bottlenecks.
- Identification of common performance anti-patterns.
- Reporting of potential optimizations with expected gains.
- Emphasis on algorithmic complexity analysis (e.g., identifying O(n²) operations).
- Highlights trade-offs associated with different optimization techniques.
Example prompts
- "Analyze this TypeScript code for performance bottlenecks: [paste code here]"
- "What are the potential performance anti-patterns in this function? [paste code here]"
- "Suggest optimizations for improving the runtime performance of this module. [paste code here]"
Tips & gotchas
- Audit all code: Don't skip auditing seemingly simple functions, as they may be called frequently.
- Prioritize algorithmic improvements: Focus on fixing inefficient algorithms (e.g., changing O(n²) to O(n)) before micro-optimizations.
- Verify correctness: Thoroughly test optimized code, especially edge cases, to avoid introducing performance bugs.