prompt-optimizer
prompt-optimizer is a skill that uses ultrathink principles to optimize and refine prompts, making them inevitable and effective for AI agents and applications.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
prompt-optimizer is a skill that uses ultrathink principles to optimize and refine prompts, making them inevitable and effective for AI agents and applications.
Mermaid is a skill that enables the creation, validation, and rendering of Mermaid diagrams from various inputs, including natural language and code analysis.
python-type-safety is a skill that enables developers to utilize Python's type annotations for enforced documentation and automatic validation by tooling like mypy or pyright.
reverse_engineer is a toolkit for reverse engineering binaries, enabling developers to reconstruct source code, analyze functions, and document protocols.
coverage-expansion is a systematic approach to expanding test coverage for the Mycelia Julia package, utilizing environment flags and coverage files to identify gaps and improve accuracy.
sd-review is a code analysis skill that combines defect review and refactoring analysis for comprehensive code evaluation
Abaqus-export is a skill that allows users to export Abaqus data to various formats, including STL, STEP, and CSV, for applications such as 3D printing and CAD exchange.
Scout is a feature discovery and benchmarking skill that analyzes competitors and trends to identify new features and generate improvement proposals.
A Claude Code plugin that guides architects through Sitecore XP on AWS to Sitecore XP on Azure infrastructure migrations. Provides structured discovery, cross-reference analysis, phased estimation, and client-ready deliverable generation.
analyze-paper is a skill that analyzes arXiv papers and generates detailed reports, including chapter and section analysis, with support for long documents and chunk export workflows
code-auditor is a hybrid skill that combines mechanical and semantic analysis for comprehensive code auditing and improvement.
TML is a programming language designed specifically for Large Language Models (LLMs). It eliminates parsing ambiguities, provides stable IDs for refactoring, and uses formal contracts to make code generation and analysis deterministic.