Skills for “llm”

…inflated, why recordings have gaps, heatmaps are empty, LLM token counts are missing, why cookieless events vanish, or whenever the `ingestion_warning` health check fires. Explains severity triage (error = dropped,…

One API and one credential for frontier and open-source LLMs and embedding models, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, generate embeddings, add AI/chat/an agent…

…errors, schema validation failures, empty or malformed LLM output, provider role/mode errors, history and context problems, MCP transport errors. Use when the user reports an error, traceback, or wrong behavior in…

…or the user asks about multi-agent orchestration or LLM-provider wiring in an atomic-agents…

Bright Data's MCP server, the tool layer that gives an LLM agent live web access with no shell. Use when wiring Bright Data tools into an AI app or agent framework that picks its tools at run time, when connecting…

Clay workflows — reduce a workflow's credit and LLM cost via the CLI (`clay workflows` commands). Identifies expensive patterns and suggests cheaper alternatives.

Clay workflows — simplify a workflow via the CLI (`clay workflows` commands): merge redundant nodes, cut unnecessary complexity, and replace LLM nodes with deterministic alternatives where possible.

…nodes in Clay workflows. Use when the user asks for custom LLM research, reasoning, classification, drafting, or summarization over records; when no existing routine fits a Claygent task; or when creating or editing a…

…+ concrete improvement opportunities), SEO/technical, and LLM/AI-search visibility — plus Core Web Vitals, synthesized into a scored, evidence-bound report. Use when the user asks to "audit this site", "site audit",…

…check", "agent health", "AI errors", "agent performance", "LLM cost", or wants a proactive health report on their AI/LLM…

Validate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.

See LICENSE for license information. -->

See LICENSE for license information. -->

Serves an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. Use for "vLLM on CPU", "zentorch serving", or an EPYC CPU endpoint, including on a host that also has AMD Instinct…

…quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request execution approval, and produce a quantized model.…

Benchmarks LLM inference and drives GPU kernel optimization with Magpie. Use when the user wants to benchmark vLLM, SGLang, or Atom; capture torch traces; post-process inference traces with TraceLens into prefill/decode…

…local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an existing app; replace or supplement OpenAI, Anthropic, Ollama, or other…

Turns a natural-language description of routing intent into a valid Lemonade `collection.router` policy JSON. The skill generates and validates the JSON only - it does not register it or call the live server. Use when…

Autonomously optimizes end-to-end LLM inference throughput on AMD Instinct GPUs and reports a validated gain, using the Hyperloom multi-agent optimizer. Given a model, framework, workload (TP/EP, concurrency, ISL/OSL,…

Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.