Claude Code 플러그인
공개 Claude Code 마켓플레이스의 플러그인 25개입니다. 각 플러그인은 함께 설치되는 스킬, 슬래시 명령, 에이전트, 훅 또는 MCP 서버를 묶습니다.
필터와 일치하는 25개의 플러그인을 표시합니다. 필터 초기화
Twelve-skill bundle covering the Demography manuscript lifecycle across population science, with demographic methods (life tables, decomposition, event history, age-period-cohort, multistate, microsimulation, projections) and the journal's Subscribe to Open access model.
academicTwelve-skill theory-development bundle for Psychological Review, the APA's new-theory/formal-model flagship. Theory-problem framing, formal/conceptual model construction, prediction derivation against rival models and existing data, scope and boundary conditions, model diagrams and simulation-of-model-behavior exhibits, APA style, contribution differentiation, and masked review via Editorial Manager. NO primary empirical reports — that is the lane of the JEP family / Psychological Science.
academic
Twelve-skill bundle covering the Sociological Methods & Research (SMR) manuscript lifecycle — method-contribution fit, derivation and analytical properties, Monte Carlo simulation studies, a real-data empirical illustration, released reproducible software, ScholarOne submission, and rebuttal.
academic
Complete skill set for building and testing voice AI agents with Vapi — create assistants, tools, calls, campaigns, squads, phone numbers, webhooks, and simulations
Chaos testing for resilience with failure injection, latency simulation, and system resilience validation
Plan, run, diagnose, and FAIR-package multi-run simulation campaigns across HPC.
Every materials-simulation domain skill.
Fifteen-skill bundle covering the AER manuscript lifecycle: topic selection, literature positioning with citation verification, identification, experimental pre-registration with power/MDE sizing, robustness, body-section drafting, introduction, tables/figures, manuscript consistency audit, adversarial referee simulation, replication, submission, rebuttal, and the workflow router, plus the optional StatsPAI implementation engine. Ships with Stata, R, and Python templates plus replication-package skeleton and classic-paper exemplars.
academic
Build, test, and ship voice agents with LiveKit. Skills for the LiveKit Agents SDK (Python and Node.js) covering voice AI architecture, live debugging, turn-level tests, simulations, and deployment, plus the LiveKit Docs MCP server for current docs, SDK code search, and changelogs.
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.
Prove a result is trustworthy: stability, convergence, manufactured solutions, and pre/post-flight validation.
Design, build, evaluate, govern, monitor, evolve, and retire digital twins and federated twin universes for software systems, engineering processes, agentic software factories, infrastructure, and cyber-physical operations. Use when a task involves digital-twin architecture, digital thread, simulation, predictive maintenance, twin health, agent authority, or dark-factory design. Do not use for ordinary observability dashboards, static dependency graphs, generic AI governance, or operating one named infrastructure tool without a twin-specific representation and feedback loop.
Multi-agent social simulation for prediction and creative exploration. Zero external dependencies — runs entirely within Claude Code.
simulation
Create input signal datasets, import data into the Simulation Data Inspector, run multiple Simulink simulations and check Rapid Accelerator compatibility for Simulink model simulation
developmentConfigure, deploy, and run Simulink models on real-time target computers with Simulink Real-Time
developmentComputer Vision Toolbox, Deep Learning Toolbox, Image Processing Toolbox, Lidar Toolbox, Medical Imaging Toolbox, Optical Design and Simulation Library for Image Processing Toolbox, and Visual Inspection Toolbox.
All core numerical skills.
All simulation workflow skills.
All ontology skills.
All hpc deployment skills.