Claude Skills by VectorSpaceLab

"Operate Keras-GAN CCGAN, ContextEncoder, PixelDA, and SRGAN

"Use Keras-GAN CycleGAN, DiscoGAN, and Pix2Pix image-to-image

"Use, inspect, adapt, and troubleshoot Keras-GAN standalone

"Use legacy keras-rl reinforcement-learning agents, memories,

"Build, configure, troubleshoot, and lightly verify

"Use keras-rl core fit/test lifecycle, processors, callbacks,

"Build, configure, troubleshoot, and lightly verify discrete-action

"Routes KerasTuner workflows for defining hyperparameter spaces,

"Routes KerasTuner's chief/worker Oracle coordination over gRPC

"Routes KerasTuner's built-in HyperResNet, HyperXception,

"Routes KerasTuner SklearnTuner workflows for conditional

"Routes generic KerasTuner search workflows for HyperParameters,

"Routes keras-vis activation maximization, saliency and Grad-CAM,

"Uses keras-vis activation maximization to synthesize inputs that

"Guides agents through keras-vis image utilities for data formats,

"Routes advanced keras-vis customization requests that combine

"Routes users who need saliency, guided or rectified saliency,

"Use Khoj as a self-hosted AI second-brain server, document

"Use and troubleshoot Khoj scheduled automations, cron

"Build, use, and troubleshoot Khoj chat, conversation sessions,

"Ingest, convert, parse, and manage user content in Khoj through

"Install, configure, start, deploy, and troubleshoot the Khoj

Safely modify, test, lint, and maintain the Khoj repository as a contributor.

"Use and troubleshoot Khoj semantic search, query filters,

"Use and maintain Kiln's AI development monorepo: Python library,

"Operate Kiln evals, synthetic data, repair, prompt optimization,

"Load, validate, persist, inspect, export, and package Kiln .kiln

"Manage Kiln document ingestion, extraction, chunking, embeddings,

"Maintain the Kiln checkout safely: monorepo layout, code style,

"Run, inspect, and extend Kiln's REST server, MCP server, desktop

"Configure Kiln task execution through LiteLLM providers,

"Operate the knowledge-storm/STORM package for Wikipedia-style

"Operate collaborative Co-STORM workflows in knowledge_storm:

"Generate STORM Wikipedia-like articles with STORMWikiRunner,

"Ground STORM article runs on a user CSV or local corpus with

"Use Koalas, the legacy pandas API on Apache Spark, for DataFrame,

"Apply, transform, groupby aggregation, and rolling or expanding

"Configure Koalas options, plotting, custom accessors, optional

"Create and manipulate Koalas DataFrame, Series, and Index objects

"Use Koalas with Spark DataFrames, Spark SQL, catalog tables, JDBC

"Use Kornia for differentiable computer vision, image processing,

"Use Kornia augmentation pipelines for random or deterministic

"Use when extracting Kornia local features, descriptors, LAFs,

"Use Kornia geometry and tracking for warps, cameras, epipolar

"Use when working with Kornia image tensors, color conversion,

"Select and apply Kornia image, segmentation, depth, stereo, pose,

"Use Kornia models, application builders, ONNX deployment, output

"Use Kotaemon to build, deploy, configure, extend, and troubleshoot

"Install, launch, configure, and troubleshoot the Kotaemon Gradio

Ingest, parse, split, and validate documents for Kotaemon indexing workflows.