Total 58,115 skills
Showing 12 of 58115 skills
Encrypt files and configs with Mozilla SOPS. Integrate with AWS KMS, GCP KMS, or PGP for key management. Use when encrypting configuration files, Kubernetes secrets, or implementing GitOps with encrypted secrets.
Use when improving or comparing Ultralytics YOLO models in Platform or code, or running hyperparameter search/autotraining — Platform experiment comparison, the systematic improvement playbook, model.tune() genetic evolution, Ray Tune, search spaces, and deciding whether tuning is worthwhile. For one training run and its arguments, see yolo-training.
Use for ANY task involving Ultralytics Platform, the ultralytics Python package, yolo CLI, YOLO model weights (.pt), dataset annotation, training, validation, prediction, tracking, export, deployment, or the detect / segment / semantic / depth / classify / pose / OBB vision tasks.
Implement Kubernetes security contexts, Pod Security Standards, and network policies. Secure cluster components and workloads. Use when hardening Kubernetes deployments or meeting security compliance.
Investiga a situação concreta, a perda atual e a alternativa usada para formular o problema que o MVP SaaS precisa provar.
Transforma o problema em proposta, jornada principal, módulos essenciais e limites claros para a versão 1.0.
Use before writing or editing any Python code — scripts, functions, bug fixes, cron jobs, data-processing one-offs, or additions to an existing .py file — even if the request sounds quick, casual, or "just a simple script." Applies whether the user names a .py file, describes what the script should do, or asks you to add/fix a function in Python. Covers required standards: type hints, no global variables, logging instead of print, wrapping any I/O (HTTP, DB, subprocess, file) in try/except, commenting the why not the what, writing a real test, and where to place design docs. Does not apply to conceptual Python questions with no code to write (e.g. explaining language features, comparing list vs tuple, explaining what an existing traceback means when the user hasn't asked for a fix, package install help, or learning-resource recommendations), and does not apply to non-Python languages.
Migrates skills, agents, and rules between Google Antigravity 2.0 (IDE/CLI) format and other Agentic AI Provider formats (Cursor, Windsurf, Claude Code, GitHub Copilot, Roo Code), and vice-versa. Use when asked to migrate/convert agent customizations, rules, or skills to or from Antigravity.
Use the Polygres Python SDK to write individual standard-project application records and build retrieval on standard or synchronized projects with Polygres AI Context, graph, text, hybrid, and existing vector queries; manage supported pgContext collections, points, and durable operations; configure safe Runtime API clients; paginate typed results; and handle SDK errors. Use for Python backend code calling a project's Runtime API. Do not use for sync control-plane administration, bulk imports, migrations, or interactive CLI workflows.
Register front, side, back, and top orthographic reference views into a shared Blender coordinate contract. Use when a 3D model must match multi-view wireframes/templates, when side/back/top silhouettes are off, or before adding depth to a front-locked contour model.
Calibrate Blender materials, lighting, camera crop, emission/glow, color management, and aura/HUD styling against supplied original/reference images using measurable color, brightness, saturation, bbox, and mask statistics. Use when a product must match the lighting/look of a source image or when audits say the product is too bright, desaturated, wrong hue, wrong glow, or wrong silhouette extent.
Integrate FASHN generative image & video models for fashion into a project, or run it inline. Use for virtual try-on, product-to-model, model create/swap, face-to-model, edit, reframe, background removal, and image-to-video, via the FASHN REST API, the TypeScript SDK (fashn npm), or the Python SDK (fashn pip).