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Found 1,101 Skills
Build conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
Read-only Xero API integration for extracting financial data, reports, and transactions. OAuth 2.0 authentication with minimal required scopes for accounting analysis.
REST API security hardening with authentication, rate limiting, input validation, security headers. Use for production APIs, security audits, defense-in-depth, or encountering vulnerabilities, injection attacks, CORS issues.
Build Rails + Inertia.js applications from scratch through production. Full lifecycle - setup, pages, forms, validation, shared data, authentication. Covers React/Vue/Svelte frontends with Vite bundling. Includes cookbook for shadcn/ui, modals, meta tags, and error handling.
This skill provides comprehensive knowledge for integrating Vercel KV (Redis-compatible key-value storage powered by Upstash) into Vercel applications. It should be used when setting up Vercel KV for Next.js applications, implementing caching patterns, managing sessions, or handling rate limiting in edge and serverless functions. Use this skill when: - Setting up Vercel KV for Next.js applications - Implementing caching strategies (page cache, API cache, data cache) - Managing user sessions or authentication tokens in serverless environments - Building rate limiting for APIs or features - Storing temporary data with TTL (time-to-live) - Migrating from Cloudflare KV to Vercel KV - Encountering errors like "KV_REST_API_URL not set", "rate limit exceeded", or "JSON serialization errors" - Need Redis-compatible API with strong consistency (vs eventual consistency) Keywords: vercel kv, @vercel/kv, vercel redis, upstash vercel, kv vercel, redis vercel edge, key-value vercel, vercel cache, vercel sessions, vercel rate limit, redis upstash, kv storage, edge kv, serverless redis, vercel ttl, vercel expire, kv typescript, next.js kv, server actions kv, edge runtime kv
Modern application security patterns aligned with OWASP Top 10:2025 (final), OWASP API Security Top 10 (2023), NIST SSDF, zero trust (incl. NSA ZIGs 2026), supply chain security (SBOM), passkeys/WebAuthn, authentication, authorization, input validation, cryptography, plus security ROI, breach cost modeling, and compliance-driven enterprise sales.
Review Bun runtime security audit patterns. Use for auditing Bun-specific vulnerabilities including shell injection, SQL injection, server security, and process spawning. Use proactively when reviewing Bun apps (bun.lockb, bunfig.toml, or bun:* imports present). Examples: - user: "Review this Bun shell script" → audit `$` usage and argument injection - user: "Check my bun:sqlite queries" → verify `sql` tagged template usage - user: "Audit my Bun.serve() setup" → check path traversal and request limits - user: "Is my Bun.spawn() usage safe?" → audit command injection and input validation - user: "Review WebSocket security in Bun" → check authentication before upgrade
Jira API operations via Python CLI scripts. AUTOMATICALLY TRIGGER when user mentions Jira URLs (https://jira.*/browse/*, https://*.atlassian.net/browse/*), issue keys (PROJ-123), or asks about Jira issues. Use when Claude needs to: (1) Search issues with JQL queries, (2) Get or update issue details, (3) Create new issues, (4) Transition issue status (e.g., "To Do" → "Done"), (5) Add comments, (6) Log work time (worklogs), (7) List sprints and sprint issues, (8) List boards and board issues, (9) Create or list issue links, (10) Discover available Jira fields, (11) Get user profile information, (12) Download attachments from issues. If authentication fails, offer interactive credential setup via jira-setup.py. Supports both Jira Cloud and Server/Data Center with automatic auth detection.
Build MCP servers using the LeanMCP SDK with decorator-based TypeScript. Use this skill when users ask for "leanmcp", "MCP with decorators", "MCP with authentication", "MCP with elicitation", "MCP with environment injection", or want a simpler, more elegant way to build MCP servers. LeanMCP provides automatic schema generation, dependency injection, authentication, and user input collection.
Provides comprehensive KeyCloak administration guidance including realm management, user/group administration, client configuration, authentication flows, identity brokering, authorization policies, security hardening, and troubleshooting. Covers SSO configuration, SAML/OIDC setup, role-based access control (RBAC), user federation (LDAP/AD), social login integration, multi-factor authentication (MFA), and high availability deployments. Use when configuring KeyCloak, setting up SSO, managing realms and clients, troubleshooting authentication issues, implementing RBAC, or when users mention "KeyCloak", "SSO", "OIDC", "SAML", "identity provider", "IAM", "authentication flow", "user federation", "realm configuration", or "access management".
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Covers installation, authentication providers, tool permissions, file-based configuration, TypeScript/Python code examples, and project scaffolding templates.
Apply React Router 7 framework mode best practices including server-first data fetching, type-safe loaders/actions, proper hydration strategies, middleware authentication, handle metadata, useMatches/useRouteLoaderData hooks, and maximum type safety. Use when working with React Router 7 framework mode, implementing loaders, actions, route protection, breadcrumbs, streaming with Suspense/Await, URL search params, form validation, optimistic UI, resource routes (API endpoints), route configuration, or building SSR applications.