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Found 1,138 Skills
Build end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
Refatore apps ou sites setoriais de qualquer tecnologia de origem para o padrão do repositório Elinsa. Use ao migrar projetos externos, legados, protótipos, HTML/CSS/JS puro, jQuery, Vue, Angular, React/Vite, PHP, Laravel, WordPress, templates server-side, sistemas de almoxarifado, formulários de pedidos ou ferramentas internas para Node 26+, pnpm, Next.js 16+ App Router, React Server Components, Tailwind 4+, Biome, shadcn/radix no preset Elinsa, React Hook Form, Zod, Better Auth e Drizzle ORM com PostgreSQL. Use também quando o projeto não tiver Git/versionamento, vier de ZIP/pasta local ou tiver sido criado em Lovable/no-code/AI builder: primeiro transforme em repositório GitHub revisável, depois migre para submissão à TI e futura integração como rotas, páginas, APIs ou componentes.
Create and manage Cargo alerts — scheduled threshold checks that watch workflow telemetry (spans, runs, records), a storage model's health, or an arbitrary SQL query, and fire actions (a connector, tool, or agent run) when a metric breaches. Use when the user wants to be notified about error-rate spikes, cost blowouts, slow nodes, stalled syncs, stale or empty models, a workflow that stopped running (dead-man's switch), or any "alert me when <metric> crosses <value>" monitoring; and to list, preview, update, or inspect the firing history of those alerts.
Detect common Python vulnerabilities such as SQL injection, unsafe deserialization, and hardcoded secrets. Use as part of a secure SDLC for Python projects.
Expert knowledge for Azure Arc development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Arc-enabled Kubernetes, servers, SQL MI, Edge RAG, resource bridge, or SCVMM/VMware integration, and other Azure Arc related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines), Azure Policy (use azure-policy), Azure Monitor (use azure-monitor).
Use when working with Lightdash YAML files, dbt models with Lightdash metadata, the lightdash CLI (deploy, upload, download, preview, lint, warehouse-catalog, sql, set-warehouse), or managing charts, dashboards, spaces and access, AI agents, scheduled content, users, groups, custom roles, metrics, and dimensions as code
Guide for adding new linting/formatting tools to lintro. Use when implementing shellcheck, shfmt, sqlfluff, taplo, semgrep, gitleaks, or any new tool plugin.
Guide for implementing Syncfusion WPF OLAP Gauge control for displaying Key Performance Indicators (KPI) from OLAP data sources. Use this when working with OLAP KPI visualization, business intelligence dashboards, or XML/A data binding in WPF. This skill covers connecting to OLAP cubes, SQL Server Analysis Services, Mondrian servers, and configuring KPI displays for executive dashboards and BI applications.
Patterns for Atlas database schema management covering HCL/SQL schema definitions, versioned and declarative migrations, linting analyzers, testing, and project configuration. Use when working with atlas.hcl, .hcl schema files, Atlas CLI commands, or database migrations.
Parse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers.
Operate Teable bases — tables, fields, views, records, SQL queries, automations, apps, and web scraping. Trigger when user mentions Cuppy, Teable, teable CLI, or Teable-style IDs (bseXXX, tblXXX, fldXXX, recXXX, viwXXX), or wants to manage tables/fields/records, build dashboards/apps, generate charts, create automations, import/export data, trigger AI fill, or scrape websites (LinkedIn, Amazon, YouTube, etc.) — even if they don't explicitly say "Teable" but are clearly working with a Teable base.
Assists in provisioning instances and databases, designing performant schemas, and querying data in Spanner. Use when designing primary keys, writing SQL queries or client library code, or diagnosing performance issues.