claude-dev-suite

60 mods across 1 repository, 29 stars between them.

axe-core

16

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

Skill "axe-core" from claude-dev-suite/claude-dev-suite, covering axe-core - quick reference, when not to use this skill, setup base, pattern essenziali and react devtools integration.

29 4d ago A 81 tokens original MIT

wcag

17

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

WCAG 2.2 Web Content Accessibility Guidelines. Covers conformance levels A/AA/AAA, success criteria, testing with axe-core, and common accessibility patterns. USE WHEN: user mentions "accessibility", "a11y", "WCAG", "screen reader", "ARIA", asks about "color contrast", "keyboard navigation", "accessible forms"…

29 4d ago A 104 tokens original MIT

anthropic-python

18

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

Anthropic Python SDK for Claude API integration. Covers messages API, streaming, tool use, vision, error handling, and best practices. Use when building Python applications that call the Claude API. USE WHEN: user mentions "anthropic", "claude api", "anthropic sdk", "anthropic.Anthropic()", "client.messages.create"…

29 4d ago A 124 tokens original MIT

langchain

19

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

LangChain framework for LLM application development. Covers chains, agents, tools, RAG pipelines, vector stores, memory, and LangChain Expression Language (LCEL). Python and TypeScript/JavaScript. USE WHEN: user mentions "langchain", "LLM chain", "AI agent", "LCEL", "retrieval chain", "LangChain tools", "LangSmith"…

29 4d ago A 125 tokens original MIT

rag-patterns

20

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

Retrieval-Augmented Generation architecture patterns. Chunking strategies, retrieval pipelines, re-ranking, hybrid search, evaluation, and production RAG system design. USE WHEN: user mentions "RAG", "retrieval augmented generation", "document Q&A", "knowledge base chatbot", "semantic search pipeline", "chunking…

29 4d ago A 109 tokens original MIT

vector-databases

21

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

Vector database integration for embeddings and similarity search. Pinecone, Weaviate, Qdrant, ChromaDB, pgvector. Index management, metadata filtering, hybrid search, and production optimization. USE WHEN: user mentions "vector database", "embeddings", "similarity search", "Pinecone", "Weaviate", "Qdrant", "ChromaDB"…

29 4d ago A 126 tokens original MIT

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

Architecture of LLM agent systems: orchestration topologies (single agent, supervisor/sub-agents, pipelines, networks), memory/context strategy, the tool layer, and human-in-the-loop/control. Architect-level system design, not prompt wording. USE WHEN: designing agentic/LLM-agent systems, "agent orchestration"…

29 4d ago A 152 tokens original MIT

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

Selecting accelerators for AI workloads: GPU vs TPU vs NPU vs FPGA vs CPU, and the metrics that actually decide it — memory capacity & bandwidth, TOPS/ FLOPS, interconnect, and cost/Watt. Architect-level hardware-fit reasoning. USE WHEN: choosing AI hardware/accelerators, "which GPU", "TPU vs GPU", "NPU", "FPGA"…

29 4d ago A 159 tokens original MIT

edge-inference

24

claude-dev-suite/claude-dev-suite

Skill Claude CodeCodex

Edge / on-device AI inference architecture: running models on MCUs, NPUs, mobile, and mini-PCs; quantization for edge, TOPS/memory/energy budgets, TinyML, and the latency case for on-device vs cloud. Architect-level. USE WHEN: designing on-device/edge AI, "edge inference", "on-device", "NPU", "TinyML", "quantization"…

29 4d ago A 163 tokens original MIT