writing-memories
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.
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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
Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices
Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2026 MCP ecosystem including multi-server orchestration, security, and performance.
Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management
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.