Skills for “llm”

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it…

…with the official Airflow AI provider - migrating LLM decorators (@task.llm, @task.agent, @task.llm_branch, @task.embed), switching from model strings/objects to connection-based LLM configuration, updating…

…out of scope, redirected to gcp-to-aws / heroku-to-aws / llm-to-bedrock. Not for: compute/data migration with no AI agent; pure LLM SDK rewrite (use llm-to-bedrock); per-model…

Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model (full or LoRA),…

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…

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…

…the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code…

Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.

No description in the SKILL.md.

…Vercel, Netlify, Supabase, Firebase, OpenAI and other LLM APIs, databases, CDNs) by analyzing billing exports and infrastructure code, then ranks savings by dollars and effort with exact fixes and risks. Use when…

…of re-running and re-paying for steps 1 to 36. Wraps each model call, tool call and side effect in a journaled step (ctx.step, ctx.llm), moves time, randomness and network reads behind ctx so replays match, puts…

Tiered LLM extraction pattern for large corpus processing (email archives, document dumps, transcript libraries). A utility-tier model triages and classifies at speed; the reasoning tier does the default deep read; the…

…+ 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…

Source-cloud-neutral assessment of AI/LLM usage for a migration to Amazon Bedrock. Use when the user wants to find which OpenAI (direct or Azure OpenAI), Anthropic, Google/Gemini, or OpenRouter calls their code makes,…

…or migrating an existing GCP/Azure/Heroku workload or an LLM SDK rewrite (see gcp-to-aws / azure-to-aws / heroku-to-aws /…

…or migrating an existing GCP/Azure/Heroku workload or an LLM SDK rewrite (see gcp-to-aws / azure-to-aws / heroku-to-aws /…

Subscribe to cost events (cost:http:request, llm:generation:metering) to forward LLM and API spend to your own observability system. Use when adding cost/spend logging, building a cost observability integration, or…

Create .prompt files for LLM operations in Output SDK workflows. Use when designing prompts, configuring LLM providers, or using Liquid.js templating.

…guide to Output.ai Framework for building durable, LLM-powered workflows orchestrated by Temporal. Covers project structure, workflow patterns, steps, LLM integration, HTTP clients, CLI commands, and the full…