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Found 3,526 Skills
Use this skill when asked to perform any of the following actions in a Java project: - To add jspecify support - To prevent NullPointerExceptions - To better handle Nullability This skill will add jspecify dependency, configure Maven or Gradle build to automatically use jspecify for checking Nullability issues.
Connect to MotherDuck from any application. Use when setting up database connectivity via the Postgres endpoint (recommended), pg_duckdb, native DuckDB API, or JDBC. Covers connection strings, authentication, SSL, and environment variable configuration.
Execute mcloud variables commands to list and get environment variables for a Cloud environment. Use when inspecting, reading, or exporting environment variables. Never pass --reveal unless the user explicitly requests secret values.
Integrates Superwall paywalls and subscription gating in React Native Expo apps using the expo-superwall SDK. Use when adding Superwall to an Expo (SDK 53+) project, wiring placements/feature gating, managing users and subscription status, handling deep links/web checkout, integrating RevenueCat, or debugging native-module issues.
Integrates Clerk authentication into React Native Expo apps using @clerk/clerk-expo. Covers ClerkProvider setup, secure token caching (expo-secure-store), Expo Router/React Navigation auth guards, custom sign-in/sign-up flows (email/password + email codes), SSO/OAuth (useSSO), Sign in with Apple (useSignInWithApple), biometrics (useLocalCredentials), offline support, and production deployment allowlisting. Use when the user mentions Clerk + Expo, @clerk/clerk-expo, Expo Router auth, SSO/OAuth redirects, or deploying Clerk in a mobile app.
Build, refactor, debug, or review a Convex backend inside a Next.js app. Use when the user mentions Convex, `convex/nextjs`, `npx convex dev`, `NEXT_PUBLIC_CONVEX_URL`, `useQuery`, `useMutation`, `usePaginatedQuery`, schema/indexes, auth, App Router server components/actions, realtime data, chat, notifications, collaborative features, or deploying Convex with Vercel. Also use when deciding whether Convex is a good fit for a Next.js app that needs reactive shared state. Do not use for generic frontend-only Next.js work or non-Convex backends unless the task is specifically about adopting, migrating to, or evaluating Convex.
Searches the web via Exa’s Search API and returns source URLs (optionally with highlights, full text, summaries, and subpages). Use when the user asks to “search with Exa”, “use Exa”, “find sources/URLs”, “do web research”, “retrieve webpage text”, “get highlights/summaries”, “filter by domain/date/category”, or needs fresh results (news, real-time lookups).
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.
Used in Git development when you need to abandon current attempts and roll back to a historical commit. It automatically archives the current state to the archive/ branch and establishes bidirectional links (source and target) in ARCHIVE.md to ensure traceability of the development decision flow. Suitable for scenarios requiring safe rollback while retaining the context of failed attempts.
Help users discover and install Claude Code skills. Use this skill when users ask "how to do X", "find a skill that can do X", "are there any skills that can..." or want to expand AI capabilities. Search, verify quality, and assist with installation through the skills.sh ecosystem.
Use when writing or editing a system prompt for any LLM API or SDK (any code passing a `system=` / `system` role parameter, or a `.txt`/`.md` file holding such a prompt). Applies prompt-engineering and prompt-caching best practices.
Orchestrate multi-agent AI workflows with ultrawork, discipline agents, team mode, and hash-anchored editing for autonomous code development