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Explain how to build custom data structures in Cairo using structs, traits, and dictionaries; use when a request involves implementing mutable collections (like a vector) or handling Destruct/Drop with Felt252D...
Explain Cairo declarative macros, macro hygiene, and macro vs function tradeoffs; use when a request involves writing or understanding `macro` definitions in Cairo.
Explain Cairo function syntax, parameters, return values, statements vs expressions, and `const fn`; use when a request involves defining or calling functions, return types, or function-related compiler errors...
Guides Claude through integrating Gleam with Erlang and Elixir code using FFI, external functions, and BEAM libraries. Use when building for Erlang target, calling Erlang libraries, or integrating with existing...
Explain Cairo associated items (functions, types, constants, implementations) in traits and impls; use when a request involves associated types, constants, or clarifying trait item placement in Cairo.
Explain Cairo smart pointers, especially Box types, boxed memory segments, and recursive types; use when a request involves boxing values, avoiding copies, or defining recursive types in Cairo.
Explain the Cairo example program that refactors rectangle area calculations into a struct, including `Into`/`TryInto` conversions; use when a request references the Chapter 5.2 struct example or asks for struc...
Explain Cairo inlining attributes and performance tradeoffs; use when a request involves
Explain Cairo scalar and compound data types, literals, conversions, and string forms; use when a request asks about Cairo types (felt252, integers, bool, strings, tuples, arrays, unit), type annotations, or co...
Comprehensive guide for building Model Context Protocol (MCP) servers with support for tools, resources, prompts, and authentication. Use when: (1) Creating custom MCP servers, (2) Integrating external APIs wit...
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
Research AWS topics using Kiro CLI as an AWS expert (readonly mode). Use for: AWS documentation, error investigation, CloudFormation/CDK questions, AWS best practices. Note: Uses Kiro's training knowledge only...
Use Claude Code's interactive question tool to gather comprehensive requirements through structured multi-select questions
Loop 2 of the Three-Loop Integrated Development System. META-SKILL that dynamically compiles Loop 1 plans into agent+skill execution graphs. Queen Coordinator selects optimal agents from 86-agent registry and a...
Enterprise-grade PowerPoint deck generation using evidence-based prompting, workflow enforcement, constraint-based design
Active diagnostic tool for analyzing prompt quality, detecting anti-patterns, identifying token waste, and providing optimization recommendations
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-ba...
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implement...
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Comprehensive PR review with multi-agent swarm specialization for security, performance, style, tests, and documentation
Specialized ML model development, training, and deployment workflow
Research topics or review code using OpenAI Codex CLI. Use for: technical research, documentation lookup, code analysis, or when external AI perspective is needed.
Advanced intent interpretation system using cognitive science principles and probabilistic intent mapping
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Read tool before announcing usage, following brainstorming before coding, and creating TodoWrit...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.