Results for “clu”

Find over-permissive RBAC roles and service-account token abuse paths in Kubernetes using kubectl auth can-i, rbac-police, kubectl-who-can, and rakkess during authorized cluster security reviews.

GitHub archive: issue/PR search, sync freshness, duplicate clusters, gh-shim PR status, and Gitcrawl repo work.

GitHub archive: issue/PR search, sync freshness, duplicate clusters, gh-shim PR status, and Gitcrawl repo work.

Launch distributed Megatron-LM training jobs on a SLURM cluster with a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules, container conventions, monitoring, and per-rank failure diagnosis.

Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.

Nonlinear dimensionality reduction with UMAP — fast manifold learning for 2D/3D visualization, clustering preprocessing (e.g., HDBSCAN), and supervised or parametric UMAP. Use when projecting high-dimensional data to low dimensions for visualization, embedding generation, or as a preprocessing step before clustering. Part of the AlterLab Academic Skills suite.

Provides links to ArgoCD documentation and videos for running database clusters and GitOps deployments.

Manages AlloyDB for PostgreSQL clusters, instances, and backups using gcloud CLI commands.

Use when performing multiple sequence alignments on protein or nucleotide sequences, generating phylogenetic trees, or producing alignment output in various formats.

Phoenix operations and deployment: releases, runtime configuration, clustering, libcluster, telemetry/logging, secrets, assets, background jobs, and production hardening on the BEAM.

Extract clean markdown content from web pages by removing clutter, navigation, and ads to save tokens.

Patterns for adding interactive features to modular Shiny apps with H5AD data, conditional UI, embedded panels, tissue scatter, Leiden clustering

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens.

Scales AI and Python applications across clusters with distributed computing primitives for ML workloads.

Run multi-agent research discourse session. Use when the user requests to "start a research party" or "run a journal club".

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

Extracts clean markdown content from web pages using the Defuddle CLI, removing navigation and clutter to reduce token usage.

Creates comprehensive content outlines and topic clusters for SEO. Plans content calendars and identifies topic gaps. Use PROACTIVELY for content strategy and planning.

Manage Amazon EKS clusters, node groups, IRSA, add-ons, and deployments using AWS CLI and eksctl.

Organize qualitative research data into an affinity diagram with themes, clusters, and insight statements.

Query and manage Strava fitness data including activities, athlete stats, segments, routes, clubs, and gear via the strava CLI.

Scales Python ML workloads across clusters using Ray's distributed tasks, actors, data, and serving capabilities.

Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.

Manage AWS EKS clusters, node groups, IRSA, add-ons, and workloads using AWS CLI and eksctl commands.

Integrates Google Maps and Mapbox into Flutter apps with markers, polylines, clustering, location tracking, and routing.

`task-agent`/`review-agent`: use when a Kubernetes workload, route, identity, health, capacity, or rollout boundary changes; skip image-only, pipeline-only, and non-cluster work.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Patterns for H5AD-backed Shiny apps with Excel fallback, groovy data in .uns, scVI QC validation, Leiden clustering merge, per-donor tissue extraction

Define and provision cloud infrastructure declaratively with Terraform, including reusable modules for Kubernetes clusters, databases, storage, and networking.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Scales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration with existing pandas code. For out-of-core analytics on a single machine prefer vaex; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.

Analyze single-cell RNA-seq data using Scanpy, including quality control, normalization, clustering, marker gene identification, and visualization.

Authorized security assessment for cloud, container, and Kubernetes environments covering metadata SSRF, IAM misconfigurations, container escape paths, and cluster RBAC review.

Inspect and manage Envoy proxy configuration, cluster health, route tables, and performance stats via the admin API.