performing-ssl-tls-security-assessment
Assess SSL/TLS server configurations using the sslyze Python library to evaluate cipher suites, certificate chains, protocol versions, HSTS headers, and known vulnerabilities like Heartbleed and ROBOT.
performing-ssl-tls-inspection-configuration
Configure SSL/TLS inspection on network security devices to decrypt, inspect, and re-encrypt HTTPS traffic for threat detection while managing certificates, exemptions, and privacy compliance.
performing-ssl-stripping-attack
>
performing-ssl-certificate-lifecycle-management
SSL/TLS certificate lifecycle management encompasses the full process of requesting, issuing, deploying, monitoring, renewing, and revoking X.509 certificates. Poor certificate management is a leading
performing-sqlite-database-forensics
Perform forensic analysis of SQLite databases to recover deleted records from freelists and WAL files, decode encoded timestamps, and extract evidence from browser history, messaging apps, and mobile device databases.
performing-soc-2-type-ii-audit-preparation
SOC 2 Type II audit preparation involves designing, implementing, and demonstrating the operational effectiveness of controls aligned to the AICPA Trust Services Criteria (TSC) over a defined audit pe
performing-soc-tabletop-exercise
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performing-soap-web-service-security-testing
Perform security testing of SOAP web services by analyzing WSDL definitions and testing for XML injection, XXE, WS-Security bypass, and SOAPAction spoofing.
performing-service-account-credential-rotation
Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk.
performing-sca-dependency-scanning-with-snyk
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performing-s7comm-protocol-security-analysis
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performing-red-team-with-covenant
Conduct red team operations using the Covenant C2 framework for authorized adversary simulation, including listener setup, grunt deployment, task execution, and lateral movement tracking.
performing-red-team-phishing-with-gophish
>-
performing-ransomware-tabletop-exercise
>
performing-service-account-audit
Audit service accounts across enterprise infrastructure to identify orphaned, over-privileged, and non-compliant accounts. This skill covers discovery of service accounts in Active Directory, cloud pl
performing-serverless-function-security-review
>
performing-security-headers-audit
Auditing HTTP security headers including CSP, HSTS, X-Frame-Options, and cookie attributes to identify missing or misconfigured browser-level protections.
performing-second-order-sql-injection
Detect and exploit second-order SQL injection vulnerabilities where malicious input is stored in a database and later executed in an unsafe SQL query during a different application operation.
performing-scada-hmi-security-assessment
>
performing-authenticated-vulnerability-scan
Authenticated (credentialed) vulnerability scanning uses valid system credentials to log into target hosts and perform deep inspection of installed software, patches, configurations, and security sett
performing-container-escape-detection
>
nvidia-tensorrt-llm-ad-add-fusion-transformation
'Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM
nvidia-tensorrt-llm-ad-conf-check
'Check whether AutoDeploy YAML configs were actually applied by analyzing
nvidia-tensorrt-llm-ad-graph-dump
'Enable and interpret TensorRT-LLM AutoDeploy FX graph text dumps via
nvidia-tensorrt-llm-ad-layer-visualizer
'Visualize a specific transformer decoder layer from an AutoDeploy FX
nvidia-tensorrt-llm-ad-model-onboard
'Translates a HuggingFace model into a prefill-only AutoDeploy custom
nvidia-tensorrt-llm-exec-local-compile
Compile TensorRT-LLM on a compute node inside a Docker container. Use
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
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