GitHub
reviewing-code
Reviews code and executes tasks with senior engineer discipline. Use when reviewing code, implementing features, fixing bugs, or any coding task. Enforces minimal changes and production-safe practices.
Skills IA Recherche
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GitHub
running-python
Runs Python scripts and manages projects using uv. Use when asked to run a python script, execute python code, run pytest, or install packages. Always uses uv instead of pip or bare python.
GitHub
org-mode-file-generation-and-editing
Comprehensive org-mode file generation and editing with proper syntax, formatting, and structure. Use when Claude needs to work with org-mode files (.org) for: (1) Creating new org-mode documents, (2) Editing e...
GitHub
pdf-processing-skill
提取PDF文件中的文本，并按标题/段落结构化输出。适用于文档总结、数据提取等场景。
GitHub
terraform-iac-expert
Infrastructure as Code for AI workloads using Terraform across AWS, Azure, GCP, and OCI
GitHub
mcp-2025-patterns
Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2025 MCP ecosystem including multi-server orchestration, security, and performance.
GitHub
kubernetes-ai-expert
Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns
GitHub
finops-ai-expert
Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management
GitHub
claude-sdk-expert
Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices
GitHub
rag-expert
Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures
GitHub
huggingface-model-trainer
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
GitHub
azure-ai-services-expert
Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns
GitHub
agentic-orchestration
Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.
GitHub
architecture-diagramming-expert
Create professional architecture diagrams using D2, Draw.io, Mermaid, and OCI official icons for enterprise-grade visualizations
GitHub
nvidia-nim
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
GitHub
aws-ai-services-expert
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
GitHub
ai-security-expert
Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection
GitHub
multi-cloud-ai-architect
Design and deploy AI workloads across AWS, Azure, GCP, and OCI with intelligent routing, cost optimization, and cross-cloud patterns
GitHub
enterprise-ai-patterns
Production-grade AI architecture patterns for enterprise - security, governance, scalability, and operational excellence
GitHub
genai-dac-specialist
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
GitHub
work-summary-updater
Update work_index/index.json and index.json based on recent work folder activity and work_index.db. Use at the end of a task.
GitHub
git-operations
Workflow for using GitHub MCP + git to create private repos, sync main via git switch, branch safely, push without touching main, and open PRs. Use for any task that needs Git branching/publishing guidance.
GitHub
slack-reply
Guidance for responding through Slack MCP: immediate acknowledgements, progress cadence, thread discipline, message templates, and failure handling. Use whenever Codex must reply to Slack mentions or share prog...
GitHub
work-logger
Record per-task work logs into each work folder's SQLite DB and update the global work_index.db summary after meaningful steps. Use whenever work starts or finishes.
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.