prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
516 skills found
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Automate quality observability with DORA metrics, defect density tracking, and intelligent quality gate configuration for continuous delivery pipelines.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.
Brainstorm creative domain names and instantly verify availability across multiple TLDs like .com, .io, .ai, and more to streamline your branding process.
Unified local ML inference server for ASR, TTS, Translation, Image Generation, and Vision on Apple Silicon, powered by MLX.
Test and validate n8n workflow triggers, including webhooks, scheduling (cron), polling mechanisms, and event-driven architectures.
Automated GitHub PR review agent for code quality, security analysis, and standard compliance using gh CLI.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
Interface design guidance for utilitarian apps, focusing on dashboards, admin panels, and data-heavy UIs using a component-library-first approach.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
Detects timing side-channel vulnerabilities in cryptographic code through static and dynamic analysis across multiple programming languages.
Establish cohesive visual systems using design tokens, modular typography scales, 8-point spacing grids, and accessible color palettes for consistent UI development.