Robotics & Simulation Bundle | Prompeteer.ai

Robotics perception, planning and control, physical-AI, real-time sensor pipelines, and 3D simulation / digital twins (Omniverse/OpenUSD, Holoscan, Isaac, ROS2) for robotics and simulation engineers.

Included Skills (89)

  1. Hsb Setup — Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per platform, build the correct demo container, run it, and verify HSB connectivity by pinging 192.168.0.2. Use for Holoscan Sensor Bridge setup, build, container launch, and first-connectivity bring-up.
  2. Omniverse Usd Performance Tuning — Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners.
  3. Vss Deploy Detection Tracking 2d — Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics — use the matching vss-* skill.
  4. Agent Creation Assistant — Assists users in creating, structuring, and optimizing autonomous agents for Claude Code plugins by providing guidance on design and best practices.
  5. Tao Train Pointpillars — PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a
  6. Robot Startup Manager — This skill helps robotics engineers configure and manage the automatic startup of ROS2-based robot systems using systemd, ensuring reliable operation.
  7. Robotics Security Hardening — This skill hardens robotic systems by implementing security best practices for ROS2, DDS, network segmentation, and secrets management.
  8. ROS2 Development Expert — Provides best practices and troubleshooting for developers building, debugging, and deploying ROS2-based robotics systems and software.
  9. Robot Perception Expert — Provides comprehensive guidance on robot perception systems, assisting robotics engineers with sensor setup, calibration, and perception pipeline optimization.
  10. ROS 2 Engineering — Assists robotics engineers with ROS 2 development tasks, including node creation, package management, and deployment pipelines.
  11. ROS1 Development Guide — Provides best practices and debugging assistance for developers building, maintaining, or migrating ROS1 (Robot Operating System 1) robotics systems.
  12. ROS2 Docker Expert — Provides best practices for Docker-based ROS2 development, assisting developers containerizing ROS2 workspaces and debugging containerized robotic systems.
  13. ROS2 Web Integration — Provides patterns and best practices for integrating ROS2 systems with web technologies, aiding developers building web-connected robot applications.
  14. Agent Design Patterns — Provides design patterns for developers building autonomous coding agents, enabling efficient and reliable AI-driven automation workflows.
  15. Agent Architecture Patterns — Provides proven design patterns for developers to build robust and efficient autonomous coding agents with tool-calling capabilities.
  16. Performing Bandwidth Throttling Attack Simulation — Simulates bandwidth throttling and network degradation attacks using
  17. Content Humanizer — Makes AI-generated content sound genuinely human — not just cleaned up, but alive. Use when content feels robotic, uses too many AI clichés, lacks personality, or reads like it was written by committee. Triggers: 'this sounds like AI', 'make it more human', 'add personality', 'it feels generic', 'sounds robotic', 'fix AI writing', 'inject our voice'. NOT for initial content creation (use content-production). NOT for SEO optimization (use content-production Mode 3).
  18. Holoscan Install Conda — Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to container/wheel.
  19. Holoscan Install Container — Install Holoscan SDK via the NGC Docker container. Use for container-based installs; not for native apt/pip/Conda installs.
  20. Holoscan Install Debian — Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.
  21. Holoscan Install Source — Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.
  22. Holoscan Install Wheel — Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
  23. Holoscan Setup — Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill.
  24. Nemo Rl Auto Research — Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.
  25. AI Pentesting Agent — This skill autonomously performs web application penetration tests using AI and security tools, assisting security engineers and DevOps teams.
  26. Autonomous AI Pipelines — AgentFlow orchestrates AI development pipelines via Kanban boards, enabling autonomous task dispatch, quality gates, and cost tracking for development teams.
  27. Biopython — Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
  28. Bioservices — Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
  29. Cirq — Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
  30. Fluidsim — Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
  31. Molecular Dynamics — Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.
  32. Opentrons Integration — Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
  33. Optimize For Gpu — GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. Covers physics simulation, differentiable rendering, mesh ray casting, particle systems (DEM/SPH/fluids), vector/similarity search, GPUDirect Storage file IO, interactive dashboards, geospatial analysis, medical imaging, and sparse eigensolvers. Also use when you see CPU-bound Python code (loops, large arrays, ML pipelines, graph analytics, image processing) that would benefit from GPU acceleration, even if not explicitly requested.
  34. Polars — High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
  35. Qiskit — IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
  36. Simpy — Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
  37. Hunting For Defense Evasion Via Timestomping — Detect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION
  38. Implementing Continuous Security Validation With Bas — Deploy Breach and Attack Simulation tools to continuously validate security
  39. Performing Arp Spoofing Attack Simulation — Simulates ARP spoofing attacks in authorized lab or pentest environments
  40. Testing For Business Logic Vulnerabilities — Identifying flaws in application business logic that allow price manipulation,
  41. Word Document Automation — Automates Word document creation, editing, and manipulation using Python libraries and the Microsoft Graph API for developers.
  42. AI Pentesting Agent — Automate security testing with PentAGI, an AI-powered penetration testing agent that helps users deploy autonomous vulnerability scanners and self-hosted security platforms.
  43. Autonomous Optimizer Agent — This agent autonomously optimizes a target file based on a measurable metric, benefiting developers and researchers seeking iterative improvements.
  44. Deepstream Dev — NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.
  45. Azure Tables Interface — Provides Python developers with tools to manage and interact with Azure Tables for NoSQL data storage and manipulation.
  46. PowerPoint File Manager — Create, edit, and automate PowerPoint files programmatically using python-pptx, assisting users with presentation generation and manipulation tasks.
  47. SoX Audio Processor — Process audio files using SoX for format conversion, applying effects, mixing tracks, and other audio manipulations, benefiting audio engineers and content creators.
  48. Etetoolkit — Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.
  49. Qutip — Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
  50. Tao Train Bevfusion — BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view
  51. Omniverse Realtime Viewer — Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.
  52. Autonomous Agent Builder — Constructs autonomous AI agents proficient in tool use, memory, planning, and multi-agent orchestration for building robust AI systems.
  53. Autonomous Agent Builder — Builds autonomous AI agents proficient in tool use, memory, planning, and multi-agent orchestration for robust AI systems.
  54. Pylabrobot — Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.
  55. Robotics Software Principles — This skill guides robotics software module development using foundational software design principles, assisting developers in architecture, code review, and library creation.
  56. Loop — Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.
  57. Arbor — Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.
  58. Statistical Power — Sample-size and statistical power calculations for planning studies. Use whenever someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for designs with no formula — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Use this skill even when the request only mentions an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.
  59. Detecting Privilege Escalation Attempts — Detect privilege escalation attempts including token manipulation, UAC
  60. Executing Active Directory Attack Simulation — Executes authorized attack simulations against Active Directory environments
  61. Performing Red Team Phishing With Gophish — Automate GoPhish phishing simulation campaigns using the Python gophish
  62. Agent Development Workflow — This workflow guides developers in building and orchestrating AI agents, multi-agent systems, and autonomous agents with tool integrations.
  63. Autonomous Coding Agent — Cline helps developers with complex coding tasks by planning, executing, and seeking approval for each step.
  64. Physical AI Video Data Augmentation — >-
  65. Human Response Generator — Generates more human-like AI responses for emotionally charged conversations or when explicitly requested, avoiding robotic or overly formal language.
  66. CrewAI Agent Orchestrator — Assists developers in defining and orchestrating autonomous AI agents into collaborative crews using the CrewAI framework.
  67. Mock API Server — Create local mock API servers using Mockoon's GUI or CLI for development, testing, and API simulation.
  68. Excel Spreadsheet Handler — This skill enables creation, reading, editing, analysis, and validation of Excel spreadsheets and tabular data files for users needing spreadsheet manipulation.
  69. Agent Discovery Tool — This skill helps users discover and research autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
  70. Agent Discovery Tool — This skill helps users discover and research autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
  71. Physical AI Defect Image Generation — >-
  72. CopilotKit Expert — I help developers use CopilotKit to add AI-powered features like chat and autonomous agents to their React applications.
  73. Robotics Testing Assistant — This skill helps robotics software engineers write effective unit, integration, and simulation tests for robot systems and CI/CD pipelines.
  74. Robotics Design Patterns — >
  75. Physical AI Infrastructure Setup And Resilient Scaling — >-
  76. Hunting For T1098 Account Manipulation — Hunt for MITRE ATT&CK T1098 account manipulation including shadow admin
  77. Performing Supply Chain Attack Simulation — Simulate and detect software supply chain attacks including typosquatting
  78. Ginkgo Cloud Lab — Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or optimization), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.
  79. Deepstream Import Vision Model — >
  80. Autoresearch — Autonomous iteration loop: modify, verify, keep/discard against any metric
  81. Canvas Graphics Generator — This skill generates 2D graphics using the HTML5 Canvas API, assisting developers with image creation and manipulation tasks.
  82. Urban Flood Simulation Generator — This skill generates a realistic, cinematic video simulation of an urban flood disaster in a Southeast Asian setting. It focuses on depicting the progression of heavy rainfall, rising water levels, the
  83. Autonomous Video Content Planner — This skill automates the creation of video content from initial idea to final product, handling script generation, scene planning, image creation, video synthesis, voiceover, and editing. It adapts to
  84. Autonomous Task Executor — Configure an AI for autonomous task execution and deep audio analysis, generating high-quality prompts for audio generation AI. Use when setting up AI systems for audio file processing, prompt writing, or integrating music history knowledge, especially if dynamic updates and psychological insights are needed.
  85. Autonomous Task Executor — Configure an AI for autonomous task execution and in-depth audio analysis, generating high-quality prompts for audio generation AIs. Use when setting up AI systems to process audio files, write prompts, or integrate music history knowledge, especially when dynamic updates and psychological insights are required.
  86. Audio Prompt Generator — Configure an AI for autonomous task execution and in-depth audio analysis, generating high-quality prompts for audio generation AIs. Use when setting up AI systems to process audio files, write prompts, or integrate music history knowledge, especially when dynamic updates and psychological insights are required.
  87. Audio Configuration & Prompting — Configure an AI for autonomous task execution and in-depth audio analysis, generating high-quality prompts for audio generation AIs. Use when setting up AI systems to process audio files, write prompts, or integrate music history knowledge, especially when dynamic updates and psychological insights are required.
  88. Audio Configuration & Prompting — Configure an AI for autonomous task execution and in-depth audio analysis, generating high-quality prompts for audio generation AIs. Use when setting up AI systems to process audio files, write prompts, or integrate music history knowledge, especially when dynamic updates and psychological insights are required.
  89. Research Project Ideator — Create a detailed operational profile for an advanced AI agent to autonomously manage complex research and development projects. Use when defining AI capabilities in tools like Cursor, GitHub, Python, and Suno, or when integrating AI architectures like Claude and federated learning.