MCP servers and skills: search, filter by where they run, and compare.
Orient users to the i4h workflow runtime and route them to the correct stage skill. Use for architecture, support, or where-to-start questions; do not execute a known stage.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Replay a workflow HDF5 episode through its original Scene. Use for visual trajectory and recording verification; do not use for policy evaluation or LeRobot data.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Run the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Preflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Serve and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Convert workflow HDF5 recordings to LeRobot datasets for training or browser inspection. Use for conversion; do not use for replay, augmentation, or raw-data repair.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Fine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. Use for visual success labels; do not use for replay, policy evaluation, or recordings without frames.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
✨🧠🤖 A low-code AgenticOps workflow based on n8n, MCP and Cisco RADKit for some nice Network Automation experiments
SkillApache-2.0★ 4Few starsNo key
Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success. Use for evaluation, checkpoints, or local controllers; do not use for replay or dataset annotation.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
GitHub Actions security review for workflow exploitation vulnerabilities. Use when asked to "review GitHub Actions", "audit workflows", "check CI security", "GHA security", "workflow security review",
OfficialSkillApache-2.0★ 1.1k in collectionNo key
Edit an existing workflow Scene or task contract. Use for assets, layout, cameras, randomization, task text, or success rules; do not use to create a new workflow.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
OfficialSkillApache-2.0★ 3.6kNo key
Agent skills for Preset, Apache Superset and Superset MCP — `sup` CLI, HTTP/SDK and MCP workflows from a single source.
SkillApache-2.0★ 13No key
Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
A Claude Code plugin that runs provable, declarative multi-agent workflows: you describe the collaboration in a typed .slang file, and a deterministic non-LLM executor runs it — enforcing output contr
Node.jsApache-2.0★ 1Few starsNo key
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
SkillApache-2.0★ 55kNo key
Build and run evaluators for AI/LLM applications using Phoenix.
OfficialSkillApache-2.0★ 40k in collectionNo key
Use when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, Mean-Variance/SOCP variance caps, efficient frontiers, scenario generation, or NVIDIA cuOpt.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Author, validate, test, and deploy YARA-L 2.0 detection rules and evaluate end-to-end detection coverage gaps in Google SecOps. Use when writing new detection rules, tuning existing rules, validating
OfficialSkillApache-2.0★ 21k in collectionNo key
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