Machine learning

Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default.

Pick the right serving container for a SageMaker model deployment and find its current image URI.

Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging…

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity…

Use ElevenLabs Realtime models (`eleven_realtime_v1_mini`, `eleven_realtime_v1_max`), the low-latency models built for voice conversation.

Writes ML/AI review and survey papers for arXiv using the IEEEtran LaTeX template with verified BibTeX citations.

Triage one nu-only fixture from tests/external/snapshots/diff/nu-only.json by reading the spec, then drive its verdict to match-error, match-clean, or nu-over…

Verify documentation claims (README, JSDoc) in spec-heavy packages — @markuplint/types (attribute value types; WHATWG/W3C/RFC/CSS/SVG grammars) and…

Author, validate, and troubleshoot complete FlowCraft configuration: deployment documents (deploy.yaml with the runtime section…

Plan and coordinate the deployment of a model to Amazon SageMaker AI.

Scan project memory for v1.7.1 lifecycle frontmatter · report tier distribution + promotion candidates (reinforce_count >= promote_after) · NO LLM.

Load before writing or revising human-facing text.

What fiction readers want (reader reward channels) and the specific ways LLM training damages them.

Design and build use cases, POCs and production systems with TypeSafe's Jev decision model (System One): choose a design mode and a use-case archetype, build…

Reviews code for security vulnerabilities and guides secure implementation using OWASP Top 10:2025, ASVS 5.0, the OWASP Top 10 for LLM Applications (2026)…

Creative-writing addendum to /llm-writing.

NVIDIA DeepStream SDK development with Python pyservicemaker API.

Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end…

Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI…

Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation…

Use when a pr-council-review (PR or branch mode) result needs independent corroboration from a different model family before trusting a GREEN verdict —…

Use when the user wants to provision infrastructure or third-party services using Stripe Projects.

npcpy LLM prompting and JSON formatting patterns.

Used for header-only preflight of one DICOM series folder before conversion or inference.