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Found 11,724 Skills
Telnyx Missions SDK operations. This skill provides JavaScript SDK examples.
Collect DTMF input and speech from callers using standard gather or AI-powered gather. Build interactive voice menus and AI voice assistants. This skill provides Ruby SDK examples.
Collect DTMF input and speech from callers using standard gather or AI-powered gather. Build interactive voice menus and AI voice assistants. This skill provides Go SDK examples.
Manage port-out requests when numbers are being ported away from Telnyx. List, view, and update port-out status. This skill provides Go SDK examples.
Migrate from Twilio to Telnyx. Covers voice (TwiML to TeXML with full verb reference), messaging, WebRTC, number porting via FastPort, and Verify. Includes product mapping, migration scripts, and key differences in auth, webhooks, and payload format.
Applies general coding standards and best practices for Kafka development with Scala.
Arquiteto de Dados especialista em PostgreSQL, Supabase e modelagem multi-tenant para a plataforma PAPO
Construct SQD Portal Stream API queries for EVM event logs. Track token transfers, DeFi events, and on-chain activity using indexed topic filters.
Full Sentry SDK setup for Svelte and SvelteKit. Use when asked to "add Sentry to Svelte", "add Sentry to SvelteKit", "install @sentry/sveltekit", or configure error monitoring, tracing, session replay, or logging for Svelte or SvelteKit applications.
Microsoft Excel (.xlsx) spreadsheet manipulation using MCP server tools. Use this any time an Excel spreadsheet is involved - as input, output, or both. Activate the excel-server MCP for Excel operations. Covers creating workbooks, managing worksheets, formatting cells, writing formulas, creating charts, building pivot tables, and data analysis with professional standards.
End-to-end service design and service improvement workflow based on Lou Downe's "Good Services" (15 principles). Use when the user asks for a service audit, service blueprint, customer journey map/service map, designing a new service, fixing a broken service, improving findability/clarity/accessibility, or creating an actionable backlog and service standard.
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.