Results for “da”

Create data-backed customer personas with market research, demographics, psychographics, jobs-to-be-done, journey mapping, and avatar generation.

Evaluate the financial impact of pricing changes using ARPU, conversion, churn risk, NRR, and payback analysis to make data-driven go/no-go decisions.

Plan and facilitate design sprints from challenge framing through prototype testing, using a structured 5-day process with variations for mini, remote, and discovery sprints.

Creates a 9-page 3:4 vertical carousel for Xiaohongshu or Instagram with warm pastel backgrounds, dashed sticker cards, and page dots.

Compresses conversation transcripts into prioritized notes using an LLM observer, consolidates them when they grow, and recovers any missed sessions without a database or vector store.

Extract and analyze Douyin video data into evidence-graded learning notes, summaries, and research briefs using subtitles, ASR, comments, and AI-assisted reading.

Quantize large language models to 8/4/3/2/1-bit precision without calibration data, using multiple optimized backends and integrations with HuggingFace Transformers, vLLM, and PEFT/LoRA.

Analyzes sample phenotype and SNP genotype data to identify the best-performing homozygous genotype at each locus, excluding heterozygous and missing calls, and writes results to a CSV file.

Diagnoses and validates Redpanda Connect pipelines using linting, dry-run connection tests, logging, metrics, tracing, and health endpoints, including enterprise feature troubleshooting.

Diagnoses Redpanda broker and cluster health using debug bundles, metrics endpoints, logs, CPU profiling, and partition/raft checks, with triage playbooks for common failure modes.

Generates an operations runbook from deployment configs, CI/CD pipelines, and monitoring setup, with copy-pasteable procedures for deployment, rollback, scaling, database maintenance, incident response, and troubleshooting.

Audits a codebase for scalability bottlenecks, flagging N+1 queries, missing indexes, unbounded result sets, blocking operations, and memory pressure, then outputs a prioritized fix list.

Implements Bulk API 2.0 REST calls for ingest and query jobs, covering CSV format requirements, locator pagination, and v1 vs v2 selection.

Compresses responses by removing filler words and hedging while preserving code, errors, and technical details. Activates on explicit user request or a trigger token, and persists until released.

Creates a machine-readable phased JSON plan bundle from a spec or feature description, producing a compact master manifest plus per-phase step files for resumable execution.

Diseña infraestructura cloud como código con Terraform, cubriendo AWS, GCP y Azure, incluyendo arquitecturas serverless, VPC, bases de datos administradas y optimización de costos.

Builds and governs design systems with a three-layer token architecture, component specs, and design-to-code handoff, including slide generation.

Classifies AI systems under the EU AI Act's risk tiers and maps compliance obligations for conformity, transparency, and human oversight.

Provides JPA/Hibernate patterns for Spring Boot data modeling, including entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and connection pooling.

Orchestrate multi-agent coding tasks via Claude DevFleet: plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.

Creates production-grade p5.js sketches: generative art, interactive visualizations, 3D scenes, shaders, and audio-reactive visuals, with export to HTML, PNG, GIF, MP4, or SVG.

Cria peças verticais 9:16 (story, reels, shorts, TikTok) respeitando as áreas seguras da interface do app, com guias, legendas acessíveis e verificação por screenshot.

Optimizes React and Next.js performance with 69 prioritized rules covering waterfalls, bundle size, server-side rendering, and re-rendering patterns.

Provides a reference for building real-time voice and multimodal AI agents with Pipecat, covering pipeline architecture, speech services, LLM integration, transports, and deployment.

Backtests quantitative trading strategies across 9 engines and 25 data sources, analyzes trade journals, and runs multi-agent research teams.

Performs differential expression analysis on label-free quantitative (LFQ) proteomics data from MaxQuant and DIA-NN outputs, including preprocessing, imputation, statistical testing, and visualization.

Plans a comprehensive app launch strategy, covering pre-launch ASO, press outreach, beta testing, launch-day activities, and post-launch optimization.

Documents MariaDB-specific CREATE USER syntax and behavior, including authentication chaining, TLS options, resource limits, password expiry, and account locking, to help write accurate statements.

Blocks Edit/Write/Bash actions until the agent presents concrete facts about imports, data schemas, and the user's instruction, improving output quality.

Batch-converts UI design screenshots into Vue 3 Composition API components, with support for Vant, Element Plus, and Ant Design Vue.

Provisions and manages Azure cloud services for Flutter backends, including AKS clusters, Azure Functions, SQL databases, Cosmos DB, Blob Storage, and Key Vault.

Enforces GDPR-compliant deployment practices for Google Cloud Run, including Frankfurt region verification, PII-safe logging, data anonymization, retention policies, and CSP configuration.

Query Belgian weather data from the KMI/IRM meteo.be API, including current conditions, forecasts, radar, warnings, and UV index for Belgian locations.

Benchmarks automatic speech translation and recognition on English-French and English-Romanian datasets, reporting BLEU and WER on tokenized outputs.

Identify and exploit Insecure Direct Object Reference (IDOR) or Broken Object Level Authorization (BOLA) vulnerabilities specifically within GraphQL APIs. This skill focuses on manipulating node IDs, changing variables, and utilizing aliases to access unauthorized data.

Realize análises de código seguindo as práticas de engenharia da Sentry. Use ao revisar pull requests, examinar alterações de código ou fornecer feedback sobre qualidade de código. Abrange segurança, performance, testes e revisão de design.