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Found 386 Skills
gRPC and Protocol Buffers - use for service-to-service communication, API definitions, streaming, and inter-service contracts
Amazon Bedrock Runtime API for model inference including Claude, Nova, Titan, and third-party models. Covers invoke-model, converse API, streaming responses, token counting, async invocation, and guardrails. Use when invoking foundation models, building conversational AI, streaming model responses, optimizing token usage, or implementing runtime guardrails.
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
Operate the joelclaw Telegram channel — primary mobile interface between Joel and the gateway. Covers grammy Bot API, text/media/reactions, inline buttons, callbacks, and streaming.
Real-time streaming speech-to-text via Deepgram WebSocket API — sub-300 ms latency, Nova-2 model, speaker diarization, auto-reconnect.
Provides expert guidance on Next.js rendering behavior, including static vs dynamic rendering, streaming, Suspense boundaries, and the prospective render system. Use when working with Next.js SSG, ISR, streaming, or server components.
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
Data export to CSV, Excel (XLSX), and JSON. ExcelJS, SheetJS (xlsx), Papa Parse, Apache POI (Java), openpyxl (Python). Streaming exports for large datasets. USE WHEN: user mentions "export CSV", "export Excel", "XLSX generation", "download spreadsheet", "ExcelJS", "SheetJS", "Papa Parse", "data export" DO NOT USE FOR: PDF generation - use `pdf-generation`; file upload/download - use `file-upload`/`cloud-storage`
Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support
Triage GitHub Pull Requests with streaming analysis. CRITICAL: 1 PR = 1 background task. Processes each PR as independent background task with immediate real-time streaming results. Conservative auto-close. Triggers: 'triage PRs', 'analyze PRs', 'PR cleanup'.
Low-latency streaming text-to-speech via OpenAI TTS API — adaptive sentence chunking, concurrent fetch pipelining, six voices.
Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.