Results for “applications”

Expert skill for building LLM applications with the LlamaIndex framework — RAG pipelines, multi-agent orchestration, event-driven workflows, knowledge graph construction, production deployment, and evaluation. Use when working with LlamaIndex or comparing RAG and agent orchestration frameworks.

Build LLM-powered applications with Claude using the official Anthropic SDK or raw HTTP, covering model selection, API parameters, streaming, tool use, MCP, caching, and model migration.

Provides idiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning applications, covering model architecture, training loops, data pipelines, and checkpointing.

Provides best practices for developing high-quality Spring Boot applications, covering project structure, dependency injection, configuration, web layer, service layer, data layer, logging, testing, and security.

Optimize React and Next.js applications with 70 performance rules across 8 categories, prioritized by impact for automated refactoring and code generation.

Test web applications for clickjacking vulnerabilities by assessing frame embedding controls and crafting proof-of-concept overlay attacks during authorized security assessments.

Add programmable safety guardrails to LLM applications at runtime, including jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, and toxicity detection.

Explains MariaDB-specific features and behaviors that differ from MySQL, including system-versioned tables, RETURNING, sequences, and version-specific defaults, to help optimize and migrate MariaDB applications.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Get best practices for developing applications with Helidon 4 (SE and MP). Use when working with Helidon SE or Helidon MP, HttpService routing, Helidon DB Client, MicroProfile Config, Helidon Security, or Helidon testing in Java 21+ projects.

Plan and execute Azure deployments safely and repeatably for applications and infrastructure. Use this skill when users ask to deploy, publish, release, or provision workloads in Azure. Covers Infrastructure-as-Code, idempotency, health validation, and rollback strategies.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Build table storage applications using the Azure Tables SDK for Java, supporting both Azure Table Storage and Cosmos DB Table API for NoSQL key-value data.

Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations for dashboards, admin panels, or data-rich interfaces.

Provides best practices, patterns, and solutions for testing Vue.js applications, covering Vitest, Vue Test Utils, component testing, mocking, and Playwright for E2E testing.

Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials that stay internally consistent across multiple assets.

Test LLM applications for system prompt leakage using manual payloads, garak, and Promptfoo to extract embedded secrets and routing logic.

Tests and exploits deep link vulnerabilities in Android and iOS mobile applications to identify unauthorized access, data injection, intent hijacking, and redirect manipulation.

Identifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications, including unencrypted databases, world-readable files, and plaintext credential storage.

Builds, configures, and debugs enterprise Java applications with Spring Boot 3.x, microservices, or reactive programming, including WebFlux endpoints, JPA optimization, and Spring Security with OAuth2/JWT.

Deploys applications to a self-hosted Platform-as-a-Service using Dokku, supporting buildpacks, Dockerfiles, custom domains, and SSL via Let's Encrypt.

Publish static or dynamic HTML, websites, and web applications through QW Pages. Use when the user asks to publish, deploy, or make a webpage live. Combine with qw-pages-supabase only when the webpage needs persistent database storage.

Provides comprehensive NestJS framework patterns with Drizzle ORM integration. Use when building NestJS applications, setting up APIs, implementing authentication, working with databases, or integrating Drizzle ORM. Covers controllers, providers, modules, middleware, guards, interceptors, testing, microservices, GraphQL, and database patterns.

Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

Manage Gate entities — validation checkpoints that WorkItems, scopes, or policy applications must pass (code review, security scan, tests). Use when defining or updating a checkpoint for v2 workflow surfaces — code review, tests green, security scan, stakeholder approval.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Assists with job applications: evaluating job postings, tailoring CVs, writing cover letters, and preparing for interviews. Triggers on keywords like: job posting, job application, CV, cover letter, resume, interview prep, job fit, career, application, apply, ansøgning, stilling

Uses a multi-agent generator-evaluator feedback loop to build high-quality applications from a single prompt, inspired by GANs and Anthropic's harness design.

Test web applications for XML injection vulnerabilities including XXE, XPath injection, and XML entity attacks to identify data exposure and server-side request forgery risks.

Configure TLS 1.3 on nginx, Apache, and Python applications, validate configurations with openssl and testssl.sh, and disable legacy TLS versions.

Automates job search and applications via the JobGPT MCP server, including job matching, auto-apply, tailored resume generation, application tracking, salary insights, and recruiter outreach.

Exploit SSRF vulnerabilities in AWS EC2-hosted applications to extract IAM credentials and User Data from the Instance Metadata Service, including techniques for bypassing basic filters against IMDSv1.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.