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SkillsMP hat 79 Skills aus ar4mirez/samuel gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 40 von 79 gesammelten Skills angezeigt.
Sync per-folder CLAUDE.md and AGENTS.md files with context-aware content. Use after structural changes, adding new directories, refactoring, or periodic maintenance to keep folder-level AI instructions current.
Quellsprache: Englisch
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than…
Quellsprache: Englisch
Autonomous AI coding loop (Ralph Wiggum methodology). Use when running AI agents in unattended/autonomous mode to independently select and complete tasks from a structured task list (prd.json). Enables AFK development across multiple context windows.
Quellsprache: Englisch
Agent Skill creation workflow. Use when creating new reusable AI agent skills, scaffolding skill directories, or converting existing guides into the portable Agent Skills standard format.
Quellsprache: Englisch
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine…
Quellsprache: Englisch
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or…
Quellsprache: Englisch
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or…
Quellsprache: Englisch
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact, or generate a new theme on-the-fly.
Quellsprache: Englisch
Suite of tools for creating elaborate, multi-component web applications using modern frontend technologies (React, Tailwind CSS, shadcn/ui). Use for complex projects requiring state management, routing, or shadcn/ui components - not for simple single-file…
Quellsprache: Englisch
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. Use when testing web apps, automating browser…
Quellsprache: Englisch
Actix-web framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Actix-web projects, or when the user mentions Actix-web. Provides actor patterns, async handlers, extractors, and high-performance web guidelines.
Quellsprache: Englisch
Jetpack Compose framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Android Compose projects, or when the user mentions Jetpack Compose. Provides composable patterns, state management, Material 3, navigation,…
Quellsprache: Englisch
ASP.NET Core framework guardrails, patterns, and best practices for AI-assisted development. Use when working with ASP.NET Core projects, or when the user mentions ASP.NET Core. Provides Minimal APIs, EF Core, authentication, middleware, and deployment…
Quellsprache: Englisch
Assembly language guardrails, patterns, and best practices for AI-assisted development. Use when working with assembly files (.asm, .s, .S), or when the user mentions Assembly/x86/ARM. Provides calling convention guidelines, register usage patterns, and…
Quellsprache: Englisch
Axum framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Axum projects, or when the user mentions Axum framework. Provides Tower integration, async handlers, extractors, and type-safe routing guidelines.
Quellsprache: Englisch
Blazor framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Blazor projects, or when the user mentions Blazor. Provides WebAssembly/Server patterns, component lifecycle, SignalR, and state management guidelines.
Quellsprache: Englisch
Project cleanup and pruning workflow. Use when removing unused guides, cleaning up stale components, or streamlining an Samuel installation to match actual project needs.
Quellsprache: Englisch
Pre-commit code quality review workflow. Use before committing changes to verify code quality, security, testing coverage, and adherence to project conventions. Supports both automated checking and interactive review modes.
Quellsprache: Englisch
Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages, reviewing staged changes, or wants to commit with a well-formatted message following conventional commits format.
Quellsprache: Englisch
C/C++ language guardrails, patterns, and best practices for AI-assisted development. Use when working with C/C++ files (.c, .cpp, .h, .hpp), CMakeLists.txt, or when the user mentions C/C++. Provides RAII patterns, smart pointer guidelines, move semantics, and…
Quellsprache: Englisch
Product Requirements Document (PRD) creation workflow. Use when defining implementation requirements for complex features, new subsystems, or any task affecting more than 10 files.
Quellsprache: Englisch
Request for Discussion (RFD) creation workflow. Use when exploring technical options, building consensus on architecture decisions, or documenting design rationale before implementation begins. Creates structured documents that capture problem context,…
Quellsprache: Englisch
C# language guardrails, patterns, and best practices for AI-assisted development. Use when working with C# files (.cs, .csx), .csproj, .sln, or when the user mentions C#/.NET. Provides nullable reference types, async/await patterns, LINQ guidelines, and…
Quellsprache: Englisch
CUDA/GPU computing guardrails, patterns, and best practices for AI-assisted development. Use when working with CUDA files (.cu, .cuh), or when the user mentions CUDA/GPU programming. Provides kernel design patterns, memory hierarchy guidelines, and occupancy…
Quellsprache: Englisch
Dart Frog framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Dart Frog projects, or when the user mentions Dart Frog. Provides file-based routing, middleware, dependency injection, and server-side Dart…
Quellsprache: Englisch
Dart language guardrails, patterns, and best practices for AI-assisted development. Use when working with Dart files (.dart), pubspec.yaml, or when the user mentions Dart/Flutter. Provides null safety patterns, async/await guidelines, Flutter integration…
Quellsprache: Englisch
Safe dependency update workflow. Use when upgrading packages, resolving vulnerability alerts, updating major versions, or auditing dependency health across project ecosystems.
Quellsprache: Englisch
Django 5+ framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Django projects, or when the user mentions Django. Provides ORM patterns, views, templates, DRF, admin, and security guidelines.
Quellsprache: Englisch
Work documentation and pattern capture workflow. Use after completing significant work to capture patterns, decisions, and learnings in project memory files for future reference.
Quellsprache: Englisch
Echo framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Echo projects, or when the user mentions Echo framework. Provides middleware patterns, routing, context handling, and REST API guidelines.
Quellsprache: Englisch
Express.js framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Express.js projects, or when the user mentions Express. Provides middleware patterns, routing, error handling, and REST API guidelines.
Quellsprache: Englisch
FastAPI framework guardrails, patterns, and best practices for AI-assisted development. Use when working with FastAPI projects, or when the user mentions FastAPI. Provides async patterns, Pydantic models, dependency injection, and OpenAPI guidelines.
Quellsprache: Englisch
Fiber framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Fiber projects, or when the user mentions Fiber framework. Provides Express-style routing, middleware, high-performance patterns, and REST API…
Quellsprache: Englisch
Flask framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Flask projects, or when the user mentions Flask. Provides blueprint patterns, extensions, Jinja2 templates, and REST API guidelines.
Quellsprache: Englisch
Flutter framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Flutter projects, or when the user mentions Flutter. Provides widget patterns, state management (Riverpod), navigation, and cross-platform guidelines.
Quellsprache: Englisch
Cross-tool compatibility workflow. Use when generating AGENTS.md files for compatibility with other AI coding tools, or creating tool-specific instruction files from CLAUDE.md.
Quellsprache: Englisch
Task generation and breakdown workflow. Use when decomposing a PRD or complex feature into implementable subtasks with clear acceptance criteria and dependencies.
Quellsprache: Englisch
Gin framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Gin projects, or when the user mentions Gin framework. Provides middleware patterns, routing, validation, error handling, and REST API guidelines.
Quellsprache: Englisch
Go language guardrails, patterns, and best practices for AI-assisted development. Use when working with Go files (.go), go.mod, or when the user mentions Go/Golang. Provides project structure conventions, error handling patterns, testing standards, and…
Quellsprache: Englisch
Hanami 2+ framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Hanami projects, or when the user mentions Hanami. Provides clean architecture, dry-rb integration, ROM, and modular design guidelines.
Quellsprache: Englisch