Results for “processing”

AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.

The English summary is being prepared. Showing the original description.

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.

The English summary is being prepared. Showing the original description.

Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.

The English summary is being prepared. Showing the original description.

Apache Spark 4.0.2 best practices for PySpark and Scala distributed data processing

The English summary is being prepared. Showing the original description.

Routes data engineering tasks to the correct DE expert agent. Use when user requests data pipeline design, DAG authoring, SQL modeling, stream processing, or warehouse optimization.

The English summary is being prepared. Showing the original description.

An infographic skill for AI agents — works inside Claude Code, Codex, Hermes, OpenClaw, Cursor, and any agent host that loads skills. Create professional infographics as self-contained HTML files with PNG exports. Use when the user asks to create, design, generate, build, or make an infographic, data visualization, visual explainer, chart poster, cheatsheet, or pocket guide. Trigger phrases include "make this visual", "turn this into a graphic", "visualize this data", "infographic for X", "cheatsheet for X", or when the user provides structured data (tokenomics allocations, ecosystem/partner lists, timelines, comparisons, step-by-step processes) AND asks for a visual output. Covers tokenomics, ecosystem overviews, game overviews, cheatsheets, airdrop guides, comparisons, and process flows. Do NOT trigger for plain text answers, markdown tables, bulleted summaries, questions asking for advice or explanations about a topic (even when the topic is tokenomics, ecosystem, vesting, etc.), inline chat diagrams, or data processing with no visual output requested. The signal is "asks for a visual", not "mentions a keyword".

The English summary is being prepared. Showing the original description.

Build or modify backend APIs, services, jobs, persistence, and integrations while preserving contracts, authorization, data integrity, and failure behavior. Use for server-side features, database changes, background processing, backend defects, and service refactors; do not use for frontend-only or infrastructure-only work.

The English summary is being prepared. Showing the original description.

Setup and optimize cryptocurrency mining operations — AI-powered mining (soul.md protocol), parallel agent deployment, accumulation strategies, and performance optimization.

The English summary is being prepared. Showing the original description.

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.

The English summary is being prepared. Showing the original description.

Use when performing video/audio processing tasks.

The English summary is being prepared. Showing the original description.

Expert-level neural engineering covering neural interfaces, brain-computer interfaces, neural signal processing, deep brain stimulation, and neuroprosthetics.

The English summary is being prepared. Showing the original description.

Expert-level semiconductor materials covering band theory, silicon processing, compound semiconductors, wide bandgap materials, and semiconductor device fundamentals.

The English summary is being prepared. Showing the original description.

Expert-level database systems theory covering relational model, query processing and optimization, transaction management, concurrency control, recovery, and NoSQL systems.

The English summary is being prepared. Showing the original description.

Expert-level polymer chemistry knowledge. Use when working with polymerization mechanisms, polymer structure, molecular weight, mechanical properties, thermal analysis, rubber elasticity, polymer processing, or biopolymers. Also use when the user mentions 'polymerization', 'monomer', 'molecular weight', 'glass transition', 'crystallinity', 'elastomer', 'thermoplastic', 'thermoset', 'chain growth', 'step growth', 'living polymerization', or 'polymer blend'.

The English summary is being prepared. Showing the original description.

Expert-level bioinformatics covering sequence analysis, structural bioinformatics, database searching, phylogenetic analysis, NGS data processing, single-cell analysis, and machine learning in biology.

The English summary is being prepared. Showing the original description.

[Document Processing] Use when converting between PDF and Markdown: text PDFs to Markdown (scanned PDFs are reported, not OCR'd), Markdown to styled PDF. --to={markdown|pdf}.

The English summary is being prepared. Showing the original description.

[Document Processing] Use when a workflow step or the user asks for HTML page, deck, mockup or animation export to PNG, vector PDF, MP4 or GIF. --to={png|pdf|mp4|gif}.

The English summary is being prepared. Showing the original description.

[Document Processing] Use when converting between Word DOCX and Markdown (GFM, math rendering). --to={markdown|docx}.

The English summary is being prepared. Showing the original description.

When processing code review feedback (bot or human) before changing anything — triages, verifies and pushes back with technical reasoning — even when the user just says 'fix the comments'.

The English summary is being prepared. Showing the original description.

Execute the implementation plan by processing and executing all tasks defined in tasks.md

The English summary is being prepared. Showing the original description.

Execute the implementation plan by processing and executing all tasks defined in tasks.md

The English summary is being prepared. Showing the original description.

Apply when designing commands, lifecycle steps, or processing loops that run amid crashes, restarts, and retries. Converge to the same end state regardless of partial prior runs.

The English summary is being prepared. Showing the original description.

Use when choosing .NET concurrency patterns for async I/O, queues, pipelines, or thread safety. Keywords: async/await, channels, dataflow, Rx, lock contention, producer consumer, parallel processing.

The English summary is being prepared. Showing the original description.

Modelo de reconhecimento de fala de propósito geral da OpenAI. Suporta 99 idiomas, transcrição, tradução para inglês e identificação de idioma. Seis tamanhos de modelo, de tiny (39M parâmetros) a large (1550M parâmetros). Use para speech-to-text, transcrição de podcasts ou processamento de áudio multilíngue. Melhor para ASR robusto e multilíngue.

The English summary is being prepared. Showing the original description.