nvidia-tensorrt-llm-exec-slurm-compile
Compile TensorRT-LLM on a SLURM cluster. Covers submitting a batch job
nvidia-tensorrt-llm-kernel-cute-writing
'Write and implement GPU kernels using NVIDIA CuTe DSL (CUTLASS 4.x Python
nvidia-tensorrt-llm-kernel-tileir-optimization
'Optimize existing Triton kernels for NVIDIA TileIR backend on Blackwell
nvidia-tensorrt-llm-kernel-triton-writing
'ONLY for OpenAI Triton (@triton.jit) kernel development. NEVER use for
nvidia-tensorrt-llm-perf-analysis
'Performance analysis coordination workflow. Guides profiling delegation,
nvidia-tensorrt-llm-perf-host-analysis
'Analyze host/CPU overhead in TensorRT-LLM inference from nsys traces.
nvidia-tensorrt-llm-perf-host-optimization
Profiles and optimizes TensorRT-LLM host/CPU overhead using line_profiler
nvidia-tensorrt-llm-perf-nsight-compute-analysis
'Analyze ncu (NVIDIA Nsight Compute) profiling output: SOL% bottleneck
nvidia-tensorrt-llm-perf-nsight-systems
Nsight Systems (nsys) CLI for system-level timeline profiling. Use when
nvidia-tensorrt-llm-perf-optimization
'Performance optimization coordination playbook. Contains specialist
nvidia-tensorrt-llm-perf-torch-cuda-graphs
'Apply CUDA Graphs to PyTorch workloads — API selection (torch.compile,
nvidia-tensorrt-llm-perf-torch-sync-free
'Identify and eliminate host-device synchronizations in PyTorch code.
nvidia-tensorrt-llm-perf-workload-profiling
'Code instrumentation for timing workloads. Two scenarios: (1) Training
nvidia-tensorrt-llm-trtllm-code-contribution
'Best practices for contributing code to TensorRT-LLM. Covers the official
nvidia-tensorrt-llm-trtllm-codebase-exploration
'Systematic approach to exploring the TensorRT-LLM codebase before implementing
nvidia-tensorrt-llm-trtllm-flashinfer-upgrade
Upgrade flashinfer-python version in TensorRT-LLM. Fetches the latest
nvidia-tensorrt-llm-trtllm-moe-develop
Review, design, and refactor TensorRT-LLM PyTorch MoE code for architecture
nvidia-tensorrt-llm-trtllm-serve-config-guide
Generate a source-backed starting `trtllm-serve --config` YAML for basic
nvidia-tilegym-adding-cutile-kernel
Add a new cuTile GPU kernel operator to TileGym. Covers dispatch registration
nvidia-tilegym-converting-cutile-to-julia
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents.
nvidia-tilegym-converting-cutile-to-triton
Converts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit). Handles
nvidia-tilegym-cutile-autotuning
'Use when adding, modifying, optimizing, or debugging CuTile autotuning
nvidia-tilegym-cutile-python
Expert cuTile programming assistant. Write high-performance GPU kernels
nvidia-tilegym-improve-cutile-kernel-perf
Iteratively optimize cuTile kernel performance through systematic profiling,
nvidia-tilegym-monkey-patch-kernels-to-transformers
Integrate TileGym kernels into Hugging Face `transformers` models by
nvidia-video-search-and-summarization-alerts
Manage and monitor VSS alerts after the alerts profile is deployed. The
nvidia-video-search-and-summarization-deploy
Deploy, debug, or tear down any VSS profile using a compose-centric workflow
nvidia-video-search-and-summarization-report
Produce video analysis reports by discovering the deployed VSS agent,
nvidia-video-search-and-summarization-rt-vlm
'Use this skill when working with the RTVI VLM or RT-VLM microservice
nvidia-video-search-and-summarization-video-analytics
Query video analytics data and metrics from Elastic search via the VA-MCP
nvidia-video-search-and-summarization-video-search
Search video archives using natural language — find events, objects,
nvidia-video-search-and-summarization-video-summarization
Summarize a video by calling the VLM NIM or the Long Video Summarization
nvidia-video-search-and-summarization-video-understanding
Call the vss agent to run video understanding on video to answer a text
performing-container-escape-detection
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implementing-nerc-cip-compliance-controls
>
mapping-mitre-attack-techniques
>
implementing-end-to-end-encryption-for-messaging
End-to-end encryption (E2EE) ensures that only the communicating parties can read messages, with no intermediary (including the server) able to decrypt them. This skill implements a simplified version
implementing-endpoint-detection-with-wazuh
Deploy and configure Wazuh SIEM/XDR for endpoint detection including agent management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, and automated response actions.
implementing-endpoint-dlp-controls
>
implementing-envelope-encryption-with-aws-kms
Envelope encryption is a strategy where data is encrypted with a data encryption key (DEK), and the DEK itself is encrypted with a master key (KEK) managed by AWS KMS. This approach allows encrypting
implementing-epss-score-for-vulnerability-prioritization
Integrate FIRST's Exploit Prediction Scoring System (EPSS) API to prioritize vulnerability remediation based on real-world exploitation probability within 30 days.
implementing-file-integrity-monitoring-with-aide
Configure AIDE (Advanced Intrusion Detection Environment) for file integrity monitoring including baseline creation, scheduled integrity checks, change detection, and alerting
implementing-fuzz-testing-in-cicd-with-aflplusplus
Integrate AFL++ coverage-guided fuzz testing into CI/CD pipelines to discover memory corruption, input handling, and logic vulnerabilities in C/C++ and compiled applications.
implementing-gcp-binary-authorization
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
implementing-gcp-organization-policy-constraints
Implement GCP Organization Policy constraints to enforce security guardrails across the entire resource hierarchy, restricting risky configurations and ensuring compliance at organization, folder, and project levels.
implementing-gcp-vpc-firewall-rules
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implementing-gdpr-data-protection-controls
The General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill cover
implementing-github-advanced-security-for-code-scanning
Configure GitHub Advanced Security with CodeQL to perform automated static analysis and vulnerability detection across repositories at enterprise scale.
implementing-google-workspace-admin-security
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implementing-google-workspace-phishing-protection
Configure Google Workspace advanced phishing and malware protection settings including pre-delivery scanning, attachment protection, spoofing detection, and Enhanced Safe Browsing.
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