Voice Reply

Local text-to-speech using Piper voices via sherpa-onnx. 100% offline, no API keys required. Use when user asks for a voice reply, audio response, spoken answer, or wants to hear something read aloud. Supports multiple languages including German (thorsten) and English (ryan) voices. Outputs Telegram-compatible voice notes with [[audio_as_voice]] tag.

Api Design

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

Typeform

Manage forms, responses, themes, workspaces, and webhooks in Typeform - powered by ClawLink.

Responses Third-Party Prompt Cache Patch

Patch an installed OpenClaw dist bundle so third-party OpenAI-compatible Responses endpoints keep prompt_cache_key and prompt_cache_retention instead of havi...

OpenAI Developer Docs

Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.

Azure Ai Agents Py - Microsoft Foundry

Build AI agents using the Azure AI Agents Python SDK (azure-ai-agents). Use when creating agents hosted on Azure AI Foundry with tools (File Search, Code Interpreter, Bing Grounding, Azure AI Search, Function Calling, OpenAPI, MCP), managing threads and messages, implementing streaming responses, or working with vector stores. This is the low-level SDK - for higher-level abstractions, use the agent-framework skill instead.

Odds for sports events

Query Odds-API.io for sports events, bookmakers, and betting odds (e.g., "what are the odds for Inter vs Arsenal", "get odds for Paddy the Baddie vs Gaethje"). Use when you need to call the Odds-API.io v3 API or interpret its responses; requires a user-provided API key.

Agent Framework Azure Ai Py

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

APITester Agent-Driven API Testing

Test API endpoints and document responses. Define tests in plain English, run them, get formatted results. Agent-driven Postman alternative.

API Health Checker

Tests API endpoints by sending requests, validating responses, measuring performance, handling authentication, and generating detailed health reports.

Monetize Agent Responses

Step-by-step integration guide for adding revenue to your AI agent's responses using Operon. Install the SDK, run a test placement, graduate to production. ~...