29 plugins de marketplaces públicos do Claude Code. Cada um agrupa skills, slash commands, agents, hooks ou MCP servers que são instalados juntos.
Mostrando 29 plugins que correspondem a estes filtros.
galleon-defigalleonlabs/crypto-defi-skills2
simulink-agentic-toolkitmatlab/simulink-agentic-toolkit2
vapi-skillsVapiAI/skills1
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace1Envie o repo com .claude-plugin/marketplace.json e nós listaremos cada plugin.
Enviar marketplaceTwelve-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.
academic
Twelve-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.
academicTwelve-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.
academicComplete 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.
Self-improving robotics expertise for AI agents: stack selection, simulation, visualization, data, testing, and training skills for physical-AI applications
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.
academicBuild, 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.
Token diligence, transaction decoding, permissions and simulation review.
Official unsigned action plans and stateful transaction simulation.
Timed online-assessment simulations with a deterministic timer and hidden-test grading, plus an interview mode. Original questions only.
productivityMulti-agent social simulation for prediction and creative exploration. Zero external dependencies — runs entirely within Claude Code.
simulationCreate 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.
