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Found 1,703 Skills
Pipeline state management for Goldsky Turbo — pause, resume, restart, and delete commands with their rules and safety behavior. Use this skill when the user asks: will deleting my pipeline lose the data already in my postgres/clickhouse table, how do I pause a pipeline while doing database maintenance, how do I restart from block zero to reprocess all historical data, can I update a running streaming pipeline in place or do I have to delete and redeploy, will resuming a paused pipeline pick up from where it left off (checkpoint), how do I re-run a completed job pipeline from the beginning, can I pause or restart a job-mode pipeline. Also covers what happens to checkpoint state on delete, and job auto-deletion 1 hour after termination. For actively diagnosing why a pipeline is broken or erroring, use /turbo-doctor instead.
This skill should be used when the user asks to "create a Supabase table", "write RLS policies", "set up Supabase Auth", "create Edge Functions", "configure Storage buckets", "use Supabase with Next.js", "migrate API keys", "implement row-level security", "create database functions", "set up SSR auth", or mentions 'Supabase', 'RLS', 'Edge Function', 'Storage bucket', 'anon key', 'service role', 'publishable key', 'secret key'. Automatically triggers when user mentions 'database', 'table', 'SQL', 'migration', 'policy'.
Implement a full-stack feature following an approved plan. Builds database layer, backend API, frontend components, and tests. Use after plan-feature has produced an approved implementation plan, or when you have a clear set of tasks to implement across the stack.
Expert blueprint for data-oriented design using Resource/RefCounted classes (item databases, character stats, reusable data structures). Covers typed arrays, serialization, nested resources, and resource caching. Use when implementing data systems OR inventory/stats/dialogue databases. Keywords Resource, RefCounted, ItemData, CharacterStats, database, serialization, @export, typed arrays.
Expert knowledge for Azure Analysis Services development including troubleshooting. Use when testing server connections, debugging gateway or firewall blocks, or checking connection strings and ports, and other Azure Analysis Services related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).
Automatically injects the project's extracted design soul into any frontend task. Use this skill on EVERY request that involves building, editing, or reviewing UI — including components, pages, layouts, styles, animations, and design decisions. Triggers on: any prompt containing words like "build", "create", "make", "design", "component", "page", "layout", "button", "form", "card", "nav", "header", "modal", "style", "css", "tailwind", "animate", "responsive", "ui", "frontend", "screen", "dashboard", "landing", "section", or any request to write JSX, TSX, HTML, or CSS. Do NOT trigger on backend-only tasks, database queries, API routes with no UI, or pure logic/utility functions with no visual output. This skill has no slash command — it runs silently in the background on every frontend task. The user never needs to invoke it manually.
DDEV local development environment for Craft CMS projects. Covers config.yaml settings (project type, PHP/Node versions, database, docroot), shorthand commands (ddev composer, ddev craft, ddev npm), add-ons (Redis, Mailpit), custom commands (.ddev/commands/), Vite dev server exposure (web_extra_exposed_ports, web_extra_daemons), database import/export, Xdebug toggling, and troubleshooting. Triggers on: ddev start, ddev craft, ddev composer, ddev ssh, ddev import-db, ddev xdebug, .ddev/config.yaml, web_extra_exposed_ports, web_extra_daemons, ddev add-on, ddev poweroff, ddev describe. Use when running DDEV commands, configuring local environments, or troubleshooting container issues.
WeChat Chat Daily Report Generator. Extract chat records from the encrypted WeChat Mac 4.x local database and generate AI-powered essence daily reports. Trigger words: Daily Report, WeChat Daily Report, wechat-daily First-time use will guide you through configuration (key extraction + selecting monitored group chats).
Defines Steedos object data models using YAML. Objects represent database tables with fields, permissions, list views, and behaviors. Use this skill to create and configure objects, define fields, set up relationships, configure feature flags, and establish naming conventions. Modern format uses separate .field.yml, .listview.yml, .permission.yml, .button.yml files in subfolders.
Operate Notion workspace content through Notion MCP using the UXC CLI, including search, fetch, users/teams lookup, page/database creation and updates, and comments. Use when tasks require calling Notion tools over MCP with OAuth (authorization_code + PKCE), especially when safe write controls and JSON-envelope parsing are required.
Fills gaps in existing healthcare practitioner lists — adds missing phone numbers, credentials, specialties, contact info, education, reviews, and regulatory data. Triggers: "enrich my provider list", "fill in missing data", "add phone numbers to these doctors", "complete this practitioner database", "enrich CRM export", "fill gaps in my provider data", "supplement this healthcare list". Accepts CSV, Google Sheet URL, or pasted data. Searches for each provider's practice website, extracts missing fields, and enriches with reviews, clinical trials, and accreditation via WSAs. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for validating credentials — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).