Loading...
Loading...
Found 1,865 Skills
Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the DEFT-augmented dataset. This is the default entry point for any "run the AOI workflow", "fine-tune my PCB AOI model end-to-end", "improve my AOI ChangeNet model", or "AOI workflow with AutoML" request — route here instead of tao-run-deft-aoi directly unless the user explicitly asks for the DEFT loop ONLY (e.g. "run JUST the DEFT loop", "skip AutoML, only DEFT"). Also handles the same three-phase pattern for non-AOI DEFT applications — AutoML baseline then DEFT loop warm-started from AutoML's winning HPs then post-DEFT AutoML refinement on the iteration-augmented dataset. Trigger phrases include "run the AOI workflow", "AOI end-to-end", "AutoML + DEFT", "AutoML then DEFT", "tune hyperparameters then DEFT", "DEFT with AutoML at both ends", "warm-start DEFT", "improve my AOI model".
Formats content to be eligible for featured snippets and SERP features. Creates snippet-optimized content blocks based on best practices. Use PROACTIVELY for question-based content.
Complete guide for OpenAI's Assistants API v2: stateful conversational AI with built-in tools (Code Interpreter, File Search, Function Calling), vector stores for RAG (up to 10,000 files), thread/run lifecycle management, and streaming patterns. Both Node.js SDK and fetch approaches. ⚠️ DEPRECATION NOTICE: OpenAI plans to sunset Assistants API in H1 2026 in favor of Responses API. This skill remains valuable for existing apps and migration planning. Use when: building stateful chatbots with OpenAI, implementing RAG with vector stores, executing Python code with Code Interpreter, using file search for document Q&A, managing conversation threads, streaming assistant responses, or encountering errors like "thread already has active run", vector store indexing delays, run polling timeouts, or file upload issues. Keywords: openai assistants, assistants api, openai threads, openai runs, code interpreter assistant, file search openai, vector store openai, openai rag, assistant streaming, thread persistence, stateful chatbot, thread already has active run, run status polling, vector store error
Learn how to create a streamlined animation widget in Flutter that eliminates the need for `setState` by leveraging an abstract class and `SingleTickerProviderStateMixin` for efficient UI updates.
Analyze AI/ML technical content (papers, articles, blog posts) and extract actionable insights filtered through enterprise AI engineering lens. Use when user provides URL/document for AI/ML content analysis, asks to "review this paper", or mentions technical content in domains like RAG, embeddings, fine-tuning, prompt engineering, LLM deployment.
Use when "scikit-learn", "sklearn", "machine learning", "classification", "regression", "clustering", or asking about "train test split", "cross validation", "hyperparameter tuning", "ML pipeline", "random forest", "SVM", "preprocessing"
Convert PDF to PowerPoint presentations
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.
Enterprise shadcn/ui Component Library with AI-powered design system architecture, Context7 integration, and intelligent component orchestration for modern React applications
Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).
Erstellt und optimiert GraphQL-Queries und Mutations fuer das microtech ERP-System buero+. Deckt den gesamten ERP-Datenbestand ab: Artikel, Warengruppen, Stuecklisten, Adressen mit Anschriften und Ansprechpartnern, Vorgaenge (Angebote, Auftragsbestaetigungen, Lieferscheine, Rechnungen, Gutschriften, Bestellungen), Vorgangspositionen, offene Posten, Lagerbestaende, Projekte, Dokumente (DMS), Kalender, Kontakte, Kontenplan, Zahlungsverkehr und SEPA-Mandate. Unterstuetzt Lesen, Anlegen, Aendern, Loeschen, Buchen (fnPost), Stornieren (fnReverse), Wandeln (fnConvert), Archivieren sowie ERP-Parametertabellen (Vorgangsarten, Steuerschluessel, Zahlungsbedingungen, Einheiten, Versandarten, Waehrungen, Mahnstufen, Adressstatus, Projektstatus, Dokumentenarten, Kommunikationsarten u.v.m.). Verwende diesen Skill wenn der Nutzer mit microtech ERP oder buero+ arbeiten will, ERP-Daten abfragen, Belege erstellen oder verarbeiten will, oder microtech-spezifische Begriffe wie tbl, fld, fnPost, fnConvert, rowRead, rowNew, rowSave, acoGPreis, lnkPostalAddresses, @acquireLocks erwaehnt. NICHT verwenden fuer andere ERP-Systeme (SAP, Shopify, Odoo, Dynamics), allgemeine SQL/Datenbank-Fragen oder generische GraphQL-Schemas ohne microtech-Bezug.
Build PromQL, LogQL, TraceQL queries for Perses panels. Validate query syntax, suggest optimizations, handle variable templating with Perses interpolation formats. Integrates with prometheus-grafana-engineer for deep PromQL expertise. Use for "perses query", "promql perses", "logql perses", "perses panel query". Do NOT use for datasource configuration (use perses-datasource-manage).