Skill UI

Guides the user through configuring and tuning database connection pools across languages, from selecting pool sizes to setting timeouts and monitoring usage to boost application performance.

A comprehensive specialist that combines automated static analysis (SonarQube, CodeQL, Semgrep) with advanced AI capabilities. This tool performs multi-layered code reviews assessing security vulnerabilities, performance bottlenecks, architectural coherence, and maintainability across various programming languages, integrating seamlessly into CI/CD pipelines.

This skill provides comprehensive patterns for building highly reliable applications that interact with external Large Language Model (LLM) APIs, such as Perplexity Sonar. It implements critical reliability techniques including Circuit Breakers, Model Fallback, Streaming Timeout handling, and Caching layers. Use this to ensure your application maintains high availability and graceful degradation even when external services experience intermittent failures or variable performance.

This comprehensive guide details how to optimize the Replit development environment. It covers setting up run commands, implementing hot reloading for various languages (Node.js, Python), configuring ports, managing development vs. production databases, and leveraging the Replit Agent for powerful AI-assisted coding. Use this guide when setting up a new project or refining your entire dev workflow.

Provides comprehensive guidance for setting up and configuring Static Application Security Testing (SAST) tools, including Semgrep, SonarQube, and CodeQL. Learn how to integrate security scanning into CI/CD pipelines, define custom security rules, enforce quality gates, and manage compliance policies to proactively identify and remediate code vulnerabilities across multiple programming languages.

Provides language- and framework-specific security best practices guidance by loading reference documents, detecting vulnerabilities, and generating prioritized reports when asked.

This skill generates a comprehensive, minimal, and enforceable security policy document (Blue Book) for applications handling sensitive data. It structures requirements using MUST/SHOULD/CAN language, explicitly defining assumptions, scope, threat models, and security gates. It is essential for establishing clear security guardrails and ensuring compliance early in the development lifecycle.

Perform Static Application Security Testing (SAST) to identify critical security vulnerabilities, including SQL injection, XSS, hardcoded secrets, and path traversal, directly from source code. Supports multi-language ecosystems (Python, JavaScript, Java, Go, etc.) and major frameworks, enabling crucial pre-deployment security validation and compliance checks (OWASP, PCI-DSS).

Runs Semgrep static analysis with auto language detection, parallel Task subagents, Semgrep Pro checks, and configurable “run all” or “important only” modes to audit codebases for vulnerabilities and bug patterns.

Ports an existing Semgrep rule into each requested language by running applicability analysis, test-first creation, AST-informed rule translation, and validation so that every target-language variant has its own rule+test directory.

SentencePiece provides a language-independent tokenizer that trains BPE or Unigram vocabularies directly from raw Unicode text, ideal for multilingual, CJK, or reproducible NLP pipelines while staying lightweight and fast.

This guide provides a comprehensive, multi-language walkthrough for installing and initializing the Sentry SDK in various environments (Node.js, Python, Browser). It covers essential concepts like DSN setup, using secure environment variables, configuring release versions, and implementing basic error and performance tracking for robust observability in production and CI/CD pipelines.