Research

Use when working with Jumpcloud — jumpCloud directory platform management for user and system management, SSO application configuration, device policy enforcement, group management, and audit event review. Covers LDAP, RADIUS, SSO apps, MDM policies, and system agent status. Read this skill before any JumpCloud operations — it enforces discovery-first patterns and strict read-only safety rules.

Use when working with Growthbook — growthBook feature flag management, A/B testing, experiment analysis, and data-driven decisions. Covers feature definitions, experiment configuration, metric tracking, visual editor experiments, and SDK connections. Use when managing feature flags, reviewing experiment results, configuring targeting attributes, or analyzing experiment metrics in GrowthBook.

Use when working with Gradle — gradle build system management. Covers build script analysis, task execution, dependency resolution, build scans, plugin management, and multi-project builds. Use when managing Gradle projects, debugging dependency conflicts, analyzing build performance, or configuring build caching.

Use when working with Forgejo — forgejo self-hosted Git forge management covering repository inventory, organization structure, user administration, webhook monitoring, Actions runner status, and federation configuration. Use when auditing repository settings, investigating CI/CD issues, monitoring instance health, or reviewing access controls on Forgejo instances.

Use when working with Eppo — eppo feature flag management, experiment assignment, statistical analysis, and metric definition. Covers flag configuration, experiment design, Bayesian and frequentist analysis, metric pipelines, and CUPED variance reduction. Use when managing feature flags, reviewing experiment results, configuring metrics, or analyzing treatment effects in Eppo.

Use when working with Elasticsearch Deep — deep Elasticsearch cluster management including shard allocation, index lifecycle policies, snapshot/restore operations, mapping optimization, and advanced query tuning. Covers node roles, circuit breakers, thread pools, watermark thresholds, and cross-cluster replication diagnostics. Read this skill before any advanced Elasticsearch operations.

Use when working with Codeball — codeBall AI-powered pull request risk assessment including automatic PR quality scoring, risk classification, and auto-approval for low-risk changes. Use when configuring CodeBall for automated PR triage, risk-based review routing, and review workload optimization.

Use when working with Aws Kinesis — aWS Kinesis stream management, shard analysis, consumer lag monitoring, enhanced fan-out configuration, and throughput analysis.

Use when working with Azure App Insights — application Insights request performance, dependency tracking, availability tests, smart detection, and failure analysis via Azure CLI and Log Analytics queries.

Use when working with Aws Cloudwatch Logs — aWS CloudWatch Logs group management, Logs Insights query execution, metric filter analysis, retention policy review, and subscription filter management. Covers log group inventory, storage cost optimization, query patterns, and cross-account log aggregation.

Use when working with Aws Cloudtrail — aWS CloudTrail event analysis, trail management, insight event investigation, and organization trail configuration. Covers API activity analysis, security event investigation, resource change tracking, unauthorized access detection, and event history querying.

Use when working with Planetscale — planetScale branch management, deploy requests, schema analysis, query insights, and database health.

Foundational problem framing for design sprints and product strategy. Based on Google Design Sprint "Understand" phase methodology. Use when teams need to establish shared understanding before ideation - defining problem statements, identifying users/stakeholders, setting success criteria, documenting constraints and assumptions, and capturing pain points. Works in solo, team synchronous, or team asynchronous modes. Creates structured problem map document as foundation for HMW exercises and s...

Fornece padrões de engenharia e tipografia digital moderna usando Typst. Cobre sintaxe de marcação, funções customizadas, criação de templates reutilizáveis, regras de exibição (show/set rules), matemática avançada, tabelas, layout de páginas e bibliografia via Hayagriva/BibTeX.

Especialista em Metodologia de Pesquisa Científica, Revisão Sistemática de Literatura (PRISMA 2020), Estruturação PICO/PECO, Avaliação PRESS, Busca em Bases Indexadas (PubMed/MeSH, arXiv, IEEE Xplore, Semantic Scholar, Scopus, SciELO) e Redes de Citação.

Especialista em Química Fundamental e Aplicada, Síntese Orgânica/Inorgânica, Físico-Química e Análise Instrumental baseado nas obras Organic Chemistry (Clayden, Greeves, Warren), Inorganic Chemistry (Miessler, Fischer, Tarr), Physical Chemistry (Atkins, de Paula) e Fundamentals of Analytical Chemistry (Skoog, West, Holler, Crouch). Cobre Termodinâmica de Soluções e Equilíbrio de Fases (Equação de Antoine, Diagramas Azeotrópicos e Ternários), Eletroquímica e Condutometria (Debye-Hückel-Onsager...

Especialista em Biotecnologia, Engenharia de Bioprocessos, Biorreatores Industriais e Tecnologia do DNA Recombinante baseado nas obras Bioprocess Engineering Principles (Pauline M. Doran), Bioprocess Engineering (Shuler, Kargi, DeLisle) e Biotecnologia Industrial (Schmidell et al.). Cobre Modelagem Cinética de Crescimento Celular (Monod, Luedeking-Piret), Hidrodinâmica e Balanços de Massa/Energia em Biorreatores (STR, Airlift, Coluna de Bolhas, Single-Use SUBs), Coeficiente Volumétrico de Tra...

Especialista em Engenharia Biomédica, Instrumentação Médica, Sinais Fisiológicos e Imagens Diagnósticas baseado em John G. Webster (Medical Instrumentation Application and Design) e Jerrold T. Bushberg (The Essential Physics of Medical Imaging). Cobre eletrodos de biopotenciais (Ag/AgCl), amplificadores de instrumentação (INA) com alto CMRR, circuito Right Leg Drive (RLD), sinais fisiológicos (ECG, EEG, EMG), isolamento galvânico e normas de segurança elétrica (IEC 60601-1), física de imagens...

Use this skill when you need part-level segmentation data for training VLMs to understand object parts and fine-grained visual components. Avoid it when object-level segmentation is sufficient.

Use this skill when you want to refine text prompts for image generation to produce higher quality, more faithful synthetic training images. Avoid it when your prompts already produce satisfactory synthetic images.

Use this skill when you want to generate synthetic images with realistic text overlaid on natural scenes for text detection/recognition training. Avoid it when you have sufficient real text detection data or need non-text image generation.

Use this skill when you want to train CLIP-style models entirely on synthetic images generated by Stable Diffusion instead of real web images. Avoid it when you have sufficient real image data or synthetic quality is insufficient.

Use this skill when you want to create region-level instruction data for VLMs that understand and describe image regions with fine-grained detail. Avoid it when image-level understanding is sufficient.

Use this skill when you want to train a high-quality text-to-image model efficiently using carefully curated high-quality captions from an LLM. Avoid it when you already have a well-trained text-to-image model.