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Found 442 Skills
Use this skill when users need to create, generate, or validate Salesforce Custom Report Type metadata. Trigger when users mention custom report types, report types, CRTs, reporting frameworks, cross-object reports, report builder data sources, or ask to expose fields for reporting across related objects. Also use when users mention primary and related objects for reports, inner vs outer joins in reports, report type categories, or encounter deployment errors for .reportType-meta.xml files. Do NOT trigger for: running, editing, or filtering existing reports; creating report folders, dashboards, or list views; or general reporting questions that don't involve authoring a .reportType-meta.xml file.
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
Drive a Metabase instance from the terminal via the `mb` CLI. Authenticate with named profiles; inspect databases (list, get, full metadata rollup, schemas, tables in a schema) and trigger manual schema sync / field-values rescan; inspect tables, fields; list/get/create/update/archive cards (questions, models, metrics) and run them as JSON/CSV/XLSX; list/get/create/update dashboards and patch dashcards; list/get/create collections and traverse the hierarchy by id, entity_id, or "root"/"trash" (with items and recursive tree); list/get/create/update/archive native query snippets, segments, and measures; author/update/run transforms and schedule transform-jobs; read/update settings; search content (cards, dashboards, collections, transforms, metrics); manage Enterprise workspaces; git-sync to/from a git remote (status, dirty, import, export, branches, stash, add/remove a collection from sync). Use whenever the user wants to interact with a Metabase from the terminal — "log into metabase", "what profiles do I have", "list cards", "run card 42 as CSV", "create a transform", "list dashboards", "move a dashcard", "list collections", "what's in collection 4", "show the collection tree", "list snippets", "create a segment", "archive a measure", "search metabase for X", "spin up a workspace", "import the latest changes", "add a directory to git sync", "set a setting", "what schemas are in this database", "trigger a sync", "rescan field values", or anything hitting `mb <verb>`.
Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (trends, comparisons, distributions, relationships, compositions), building dashboards or reports, presenting metrics to stakeholders, monitoring KPIs, exploring datasets for insights, communicating findings from analysis, or when user mentions "visualize this", "what chart should I use", "create a dashboard", "analyze this data", "show trends", "compare these metrics", "report on", "what does this data tell us", or needs to turn data into actionable insights. Apply to business analytics (revenue, growth, churn, funnel, cohort, segmentation), product metrics (usage, adoption, retention, feature performance, A/B tests), marketing analytics (campaign ROI, attribution, funnel, customer acquisition), financial reporting (P&L, budget, forecast, variance), operational metrics (uptime, performance, capacity, SLA), sales analytics (pipeline, forecast, territory, quota attainment), HR metrics (headcount, turnover, engagement, DEI), and any scenario where data needs to become a clear, actionable story with the right visual form.
Best practices for building charting applications using MMT real-time crypto market data with TradingView Lightweight Charts. Use when creating price charts, volume charts, indicator overlays, multi-chart dashboards, or any visualization that renders MMT data using the TradingView Lightweight Charts library.
Create Databricks AI/BI dashboards. CRITICAL: You MUST test ALL SQL queries via execute_sql BEFORE deploying. Follow guidelines strictly.
Guide for creating data visualizations in Shopify Apps using the Polaris Viz library. Use this skill when building charts, graphs, dashboards, or any data visualization components that need to integrate with the Shopify Admin aesthetic. Covers BarChart, LineChart, DonutChart, SparkLineChart, and theming.
Set up, create, test and manage monitoring checks using the Checkly CLI. Use when working with API Checks, Browser Checks, URL Monitors, ICMP Monitors, Playwright Check Suites, Heartbeat Monitors, Alert Channels, Dashboards, or Status Pages.
Install AI UI components from the Elements registry. Use when user needs chat interfaces, agentic UIs (tool calls, reasoning, plans), multi-agent dashboards, or AI devtools. Triggers on "AI component", "chat UI", "agent UI", "tool call component", "streaming text", "agentic", "multi-agent", "AI SDK", "chat input", "message bubble", "thinking indicator".
Measure, report on, and optimize marketing performance across channels and campaigns. Trigger on requests for performance dashboards, campaign result analysis, channel metrics review (email, social, paid ads, SEO, content), trend analysis, forecasting, attribution modeling, A/B testing guidance, or actionable optimization recommendations.
Avoid AI-specific "generic designs (AI slop)" and build original, polished UIs. Applicable when implementing frontends for landing pages, dashboards, and apps.
Create interactive, production-ready UI mockups and prototypes using NuxtJS 4 (Vue) or Next.js (React), TypeScript, and TailwindCSS v4. Use when building web mockups, prototypes, landing pages, dashboards, admin panels, or interactive UI demonstrations. Trigger when users mention "create mockup", "build prototype", "interactive demo", "UI prototype", "design to code", or need rapid frontend development with modern tooling. Prefer NuxtJS for Vue-based projects; use Next.js when users mention ReactJS.