Skills for “llm”

…for AIDP via `infa2aidp cli migrate`. Covers --use-llm/--agentic, --comparison fidelity reports, --workers batch mode, and --target-catalog-type delta|adw. This is the main run — use once infa-analyze has been…

…dependencies, which `infa2aidp` actually resolves, the LLM provider key (OPENAI_API_KEY on this Codex build), and (only if the user needs them) OCI/AIDP reachability for deploy and reconcile. Use the first time the…

…reranking, image generation, or working with any LLM…

Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.

…needs something MySQL lacks: UUIDv7 or 16-byte UUID keys, LLM calls or embeddings in SQL, password hashing or encryption in SQL, IP/CIDR/MAC columns, HTTP calls from SQL, fuzzy or phonetic text matching, a strict…

…add or update notes, organize docs/notes for an agent or LLM to consume, build an index of notes, or run a cleanup/maintenance pass on an existing MD knowledge base. Triggers include "knowledge base", "KB", "notes…

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

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

…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…

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…

…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…

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.

…that doesn't come from database rows (presence, typing, LLM streams), use…

…Google Gemini, TypeSafe (Jev), or OpenRouter-hosted models (xAI/DeepSeek/Meta/Mistral/Qwen) from Netlify Functions or Edge Functions without managing provider accounts or API keys. Reach for this when adding an…

…/ agent tracking / trackAgent, mentions capturing LLM or chatbot conversations for Pendo, or asks how to get their AI agent's data into Pendo — even if they don't name the specific…

…user asks about top spenders, expensive users, per-user LLM cost, user-level cost drivers, or patterns behind high AI observability…

…up anomaly detection, or use the AI anomaly detector (the llm detector type). Covers choosing between threshold, relative change, statistical detector, and AI detector, previewing with alert-simulate before saving,…

…uncovered surface; record structured output from scheduled LLM scoring; or give feedback through notes. Covers SKILL.md structure, report requirements, follow-up report checks, structured output, duplicate detection,…

…— schedule a free-text prompt to run on a cron, with the LLM-synthesized markdown delivered to email, Slack, or Microsoft Teams on each tick. Use when the user wants a recurring AI summary of X on any cadence (daily,…