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Found 127 Skills
Cloud storage integration with signed URLs, visibility control, multi-tenant path conventions, and presigned uploads for direct client uploads.
Redis-backed SSE stream management with stream registry, heartbeat monitoring, completion store for terminal events, and automatic orphan cleanup via background guardian process.
Implement multi-tenant architecture with tenant isolation, data separation, and per-tenant configuration. Supports shared database and schema-per-tenant models.
Comprehensive audit logging for compliance and security. Track user actions, data changes, and system events with tamper-proof storage.
Implement Supabase authentication with SSR support. Email/password auth with automatic session management via cookies. Includes login, signup, email confirmation, and user profiles.
Event deduplication with canonical selection, reputation scoring, and hash-based grouping for multi-source data aggregation. Handles both ID-based and content-based deduplication.
Two-phase commit matchmaking that verifies both player connections before creating a match. Handles disconnections gracefully with automatic re-queue of healthy players.
Manage concurrent background workers with scheduling, dependencies, health monitoring, and automatic disabling of failing workers.
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development.
Implement a feature flag system for gradual rollouts, A/B testing, and kill switches. Use when you need to control feature availability without deployments, test features with specific users, or implement percentage-based rollouts.
Implement consistent error handling with custom error classes, error boundaries, and structured error responses. Covers logging, monitoring, and user-friendly messages.
Collect-then-batch pattern for database operations achieving 30-40% throughput improvement. Includes graceful fallback to sequential processing when batch operations fail.