review-readability
Readability-focused code review. Checks for clarity, naming, documentation, and maintainability.
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Readability-focused code review. Checks for clarity, naming, documentation, and maintainability.
Use when building selection algorithms that must balance multiple diversity/coverage constraints (e.g., selecting test cases, sampling datasets, portfolio optimization). Especially useful when hard co...
Zero-config animations for React, Vue, Solid, Svelte, Preact with @formkit/auto-animate (3.28kb). Prevents 10+ documented errors: SSR/Next.js imports, conditional parents, missing keys, flexbox width, table dis...
Expert Next.js developer mastering Next.js 14+ with App Router and full-stack features. Specializes in server components, server actions, performance optimization, and production deployment with focus on buildi...
Build sophisticated React animations with Motion (formerly Framer Motion) - declarative animations, gestures (drag, hover, tap), scroll effects, spring physics, layout animations, and SVG manipulation. Optimize...
Comprehensive Cloudflare account management for deploying Workers, KV Storage, R2, Pages, DNS, and Routes. Use when deploying cloudflare services, managing worker containers, configuring KV/R2 storage, or setti...
Expert SEO strategist specializing in technical SEO, content optimization, and search engine rankings. Masters both on-page and off-page optimization, structured data implementation, and performance metrics to...
Creates design document infrastructure including templates, workflows, and a specific design doc skill. Use when setting up design docs for a new project or when the user mentions "bootstrapping-design-docs".
Writes or updates memory files with proper YAML frontmatter in the agent's memories directory. Use when saving new project learnings or updating existing memory files.
Generates three project-specific behavioral mode skills (planner, debugger, qa-tester) from project memories and bundled templates, and makes them selectable via switching-modes. Use when creating project-local...
Loads project-specific memories at session start and triggers onboarding for new projects. Use when starting a new coding session or when the user says "activate" or asks about project context.
Converts approved design documents into agent-executable XML subtasks. Use after a design doc is approved and ready for implementation.
Records session learnings and decisions before context compaction. Use before ending a long session or when the user asks to save session notes.
Learn from session corrections and update AI configuration files. USE WHEN user says 'reflect', 'learn from this', 'remember this', 'teach you', 'update skills', OR user wants to persist corrections, prevent re...
Expert in building React 19 components with Next.js 15 App Router, TailwindCSS, and the project's theme system. Use when creating or modifying UI components, pages, layouts, client interactions, or styling. Alw...
Expert in building backend features with Next.js server actions, Drizzle ORM models, database operations, and the many-first design pattern. Use when creating or modifying server actions, database models, schem...
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices
Infrastructure as Code for AI workloads using Terraform across AWS, Azure, GCP, and OCI
Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices
Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns
Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection
Expert guidance on Oracle Cloud Infrastructure services, cloud architecture patterns, cost optimization, deployment strategies, and OCI best practices for enterprise solutions
Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.