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Found 9,463 Skills
Database queries, migrations, and ORM integration with Encore.ts.
Implement feature flags using the Vercel Flags SDK with server-side evaluation, environment-based toggles, and Vercel Toolbar integration.
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.
Build fast unit and integration tests with Vitest 4.x. Covers configuration for Workers/React/Node, vi.mock/vi.spyOn patterns, snapshot testing, in-source testing, workspace configuration, and browser mode. Use when: setting up tests, migrating from Jest, mocking modules, testing React components, or configuring monorepo workspaces. Keywords: vitest, test, unit test, vi.mock, vi.spyOn, snapshot, coverage, Jest migration.
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (Supermemory, QMD).
Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when user requests pair trading opportunities, statistical arbitrage screening, mean-reversion strategies, or market-neutral portfolio construction. Supports correlation analysis, cointegration testing, and spread backtesting.
Set up API integration with configuration and helper scripts
Terramate CLI, Cloud, and Catalyst best practices and usage guides. This skill should be used when working with Terramate stacks, orchestration, code generation, Cloud integration, or Catalyst components and bundles.
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.
Universal Strava API integration for fitness data management. Use when working with Strava activities, athlete profiles, segments, routes, clubs, or any fitness tracking data. Triggers on requests to get/create/update activities, analyze training stats, export routes, explore segments, or interact with Strava data programmatically.
Complete guide to implementing live updates in Capacitor apps using Capgo. Covers account creation, plugin installation, configuration, update strategies, and CI/CD integration. Use this skill when users want to deploy updates without app store review.
Use when adding animated WebGL background effects with Vanta.js (setup, parameters, resizing, performance, integration in React/Next.js).