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.
406 skills found
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.
Validates and coordinates batch study guide operations, preventing errors by enforcing template compatibility, file availability, and source-only policies before agent execution.
Automates TypeScript type generation from Rust tool schemas to ensure end-to-end type safety between server and client in MCP-based projects.
Manage full PR lifecycles: auto-generate descriptions from commits, use work-type templates, handle review requests, and automate status updates.
Detects indirect prompt injection and goal hijacking in AI agents by evaluating how they process external content like RAG, documents, and web data.
Creates detailed, step-by-step TDD implementation plans for software development tasks.
Explains code using visual diagrams, relatable analogies, step-by-step walkthroughs, and common pitfalls.
A template skill for creating project-specific AI agent guidelines, defining architecture, file structures, and code patterns for deterministic development.
Automated generation of customer-facing App Store 'What's New' release notes by analyzing git commit history since the last version bump.
Edit Elementor pages and manage templates on WordPress sites via WP-CLI or visual browser automation.
A comprehensive PDF toolkit for extracting text/tables, merging, splitting, rotating, and programmatically generating or filling PDF documents using Python and CLI tools.