공개 Claude Code 마켓플레이스의 플러그인 41개입니다. 각 플러그인은 함께 설치되는 스킬, 슬래시 명령, 에이전트, 훅 또는 MCP 서버를 묶습니다.
필터와 일치하는 41개의 플러그인을 표시합니다.
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace2
aiwgjmagly/aiwg1
research-agent-skillsKalarisLabs/research-agent-skills1
skillsmicrosoft/skills1.claude-plugin/marketplace.json이 포함된 repo를 제출하면 모든 plugin을 목록에 추가합니다.
marketplace 제출Complete Groq integration skill pack with 24 skills covering LPU inference, ultra-fast AI, and Groq Cloud deployment. Flagship tier vendor pack.
Twelve-skill bundle covering the American Anthropologist (AA) manuscript lifecycle across the four subfields, with ethnographic/qualitative inference as first-class and research ethics, consent, and accountability at the center.
academicTwelve-skill bundle covering the 《经济学(季刊)》 manuscript lifecycle: workflow router, fit positioning, internationally-legible topic selection, field-benchmarked literature review, structural / quasi-experimental identification, modern staggered-DID compliance, inference rigor, mechanism evidence, figures-over-tables, English abstract, submission preflight, and rebuttal.
academicTwelve-skill bundle covering the Current Anthropology (CA) manuscript lifecycle across all subfields, with ethnographic/qualitative inference as first-class, research ethics and accountability at the center, and the distinctive CA✩ comment-and-reply Treatment encoded into review and rebuttal.
academicTools, skills, and CLI extensions for designing and productionizing LLM inference pipelines. Pattern-guided, slim by default, eval-first.
Inference serving, GPU infrastructure, MLOps and observability.
researchAKS operational skills for troubleshooting, advanced cost-efficiency analysis, known issues, GPU inference, and packet capture.
AKS operational skills for troubleshooting, advanced cost-efficiency analysis, known issues, GPU inference, and packet capture.
GABBE brain skills (13): Brain Mode internals: cognitive architectures, active inference, global workspace, working and episodic memory, self-improvement.
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations (Claude Code Action, Gemini CLI, OpenAI Codex, GitHub AI Inference)
Intelligent YAML validation, generation, and transformation agent with schema inference, linting, and format conversion capabilities
Agent skills for Ultralytics YOLO and Platform: model selection, dataset annotation, training, tuning, inference, export, and deployment through the Platform web UI, the Python package, and the yolo and ul CLIs.
developmentForces Claude to answer only from user-provided materials and online sources it has actually accessed. No inference, no assumptions, no gap-filling. Every factual, legal, numerical, or procedural claim must be anchored to a cited source, with statements categorised as expressly stated, verified online, supported, not found, or labelled inference. Built for legal and evidential work where fidelity to the record matters more than completeness.
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered workflows.
API-first skills for users who already know DSPy: signatures, LM config, modules, data handling, evaluation, inference modules, optimizers, adapters, tools, retrieval, and utilities
Hugging Face Inference SDK patterns for TypeScript/Node.js — InferenceClient setup, chat completion, text generation, streaming, embeddings, image generation, audio transcription, translation, summarization, and Inference Endpoints
Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint
Pinecone serverless vector database -- index management, vector operations, metadata filtering, namespaces, hybrid search, inference API
Zod schema validation patterns for TypeScript - schema definitions, type inference, refinements, transforms, discriminated unions
Open WebUI operator suite — REST API administration (v0.10.x: user/group lifecycle, model catalog GitOps via models/sync, config-as-code, SCIM, event webhooks, the 0.10.0 access_control→access_grants break, auth traps), RAG pipeline wiring (HuggingFace embedding + reranker via LiteLLM in front of HuggingFace Text Embeddings Inference; exact wire shapes, LiteLLM ↔ TEI gotchas, TEI configuration cliffs, end-to-end production config; BGE-M3 + BGE-Reranker-v2-m3 worked examples) and multi-pod deployment with WebSockets + Valkey Sentinel at 1000+ user scale (the structural Socket.IO + Redis frame-amplification bug #23733 and the CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE mitigation, all multi-pod env vars, custom-model-icon perf history, helm chart gaps, full known-issues catalog with fix status).
ai-workflow
