nvidia-megatron-bridge-verl-e2e-testing
External verl end-to-end validation workflow for Megatron-Bridge model/provider
nvidia-megatron-core-build-and-dependency
Container-based dev environment setup and dependency management for Megatron-LM.
nvidia-megatron-core-bump-base-image
Bump the NVIDIA PyTorch base image using the nvcr.io/nvidia/pytorch YY.MM py3 tag
nvidia-megatron-core-cicd
CI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope
nvidia-megatron-core-create-issue
Investigate a failing GitHub Actions run or job and create a GitHub issue
nvidia-megatron-core-linting-and-formatting
Linting and formatting for Megatron-LM. Covers running autoformat.sh,
nvidia-megatron-core-nightly-sync
Domain knowledge for the nightly main-to-dev sync workflow. Covers merge
nvidia-megatron-core-onboard-gb200-1node-tests
Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped
nvidia-megatron-core-respond-to-issue
Research and draft a response to a GitHub issue or question from an external
nvidia-megatron-core-run-on-slurm
How to launch distributed Megatron-LM training jobs on a SLURM cluster.
nvidia-megatron-core-split-pr
Split a PR into multiple PRs to reduce the number of required CODEOWNERS
nvidia-megatron-core-testing
Test system for Megatron-LM. Covers test layout, recipe YAML structure,
nvidia-megatron-core-update-golden-values
Refresh golden values from a GitHub Actions workflow run (failing-only
nvidia-model-optimizer-accessing-mlflow
Query and browse evaluation results stored in MLflow. Use when the user
nvidia-model-optimizer-debug
Run commands inside a remote Docker container via the file-based command
nvidia-model-optimizer-deployment
Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible
nvidia-model-optimizer-evaluation
Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator
nvidia-model-optimizer-launching-evals
Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.
nvidia-model-optimizer-monitor
Monitor submitted jobs (PTQ, evaluation, deployment) on SLURM clusters.
nvidia-model-optimizer-ptq
This skill should be used when the user asks to "quantize a model", "run
nvidia-model-optimizer-release-cherry-pick
Cherry-pick merged PRs labeled for a release branch into that branch,
nvidia-nemo-evaluator-byob
Create custom LLM evaluation benchmarks using the BYOB decorator framework.
nvidia-nemo-evaluator-launcher-accessing-mlflow
Query and browse evaluation results stored in MLflow. Use when the user
nvidia-nemo-evaluator-launcher-launching-evals
Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.
nvidia-nemo-evaluator-launcher-nel-assistant
Interactive config wizard for NeMo Evaluator Launcher (NEL). Use when
nvidia-nemo-gym-add-benchmark
'Guide for adding a new benchmark or training environment to NeMo-Gym.
nvidia-nemo-gym-debugging
Use when debugging a Nemo Gym run or reward profiling job. Covers rollout
nvidia-nemo-gym-docs
'Maintain the NeMo Gym Fern docs site — add, update, move, or remove
nvidia-nemo-gym-pivot-datasets
Use when creating, validating, or documenting Nemo Gym pivot datasets
nvidia-nemo-gym-reward-profiling
Use to help users get started with Nemo Gym reward profiling. Covers
nvidia-nemo-rl-auto-research
'Autonomous NeMo-RL research agent workflow for directed hypothesis testing
nvidia-nemo-rl-brev-etiquette
Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL
nvidia-nemo-rl-build-and-dependency
Build and dependency management for NeMo-RL. Covers Docker image building
nvidia-nemo-rl-cicd
CI/CD reference for NeMo-RL. Covers GitHub Actions pipeline structure,
detecting-fileless-malware-techniques
>
dotnet-msbuild
Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.
dotnet-nuget
NuGet and .NET package management: dependency management and modernization.
detecting-container-escape-attempts
Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators
detecting-container-escape-with-falco-rules
Detect container escape attempts in real-time using Falco runtime security rules that monitor syscalls, file access, and privilege escalation.
detecting-credential-dumping-techniques
Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules
detecting-credential-dumping-with-edr
Detect OS credential dumping techniques including LSASS access, SAM extraction, and DCSync using EDR telemetry and Sysmon logs.
detecting-cryptomining-in-cloud
>
detecting-dcsync-attack-in-active-directory
Detect DCSync attacks where adversaries abuse Active Directory replication privileges to extract password hashes by monitoring for non-domain-controller accounts requesting directory replication via DsGetNCChanges.
detecting-dll-sideloading-attacks
Detect DLL side-loading attacks where adversaries place malicious DLLs alongside legitimate applications to hijack execution flow for defense evasion.
detecting-dnp3-protocol-anomalies
>
detecting-dns-exfiltration-with-dns-query-analysis
Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT record abuse, and response payload sizes using passive DNS monitoring.
detecting-email-account-compromise
Detect compromised O365 and Google Workspace email accounts by analyzing inbox rule creation, suspicious sign-in locations, mail forwarding rules, and unusual API access patterns via Microsoft Graph and audit logs.
detecting-email-forwarding-rules-attack
Detect malicious email forwarding rules created by adversaries to maintain persistent access to email communications for intelligence collection and BEC attacks.
detecting-evasion-techniques-in-endpoint-logs
>
detecting-exfiltration-over-dns-with-zeek
Detect DNS-based data exfiltration by analyzing Zeek dns.log for high-entropy subdomains and anomalous query patterns
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