Create, list, cancel, and snooze reminders using OpenClaw cron jobs (one-shot or recurring). Use when a user asks things like: 'remind me in 20 minutes', 'remind me tomorrow at 9', 'every weekday at 10:30', 'list my reminders', 'cancel reminder', or 'snooze this'. This skill focuses on safe scheduling (timezone-correct), confirmation before creating jobs, and clean reminder text that will read well when it fires.
Send Slybroadcast ringless voicemail campaigns from OpenClaw/LLMs using CLI or MCP, including AI voice generation (ElevenLabs or generic HTTP voice API) and campaign controls.
Calendar reminders pipeline: config-driven wrapper around gcalcli (Google Calendar) plus optional CalDAV source via vdirsyncer+khal, and a reminder planner that outputs a JSON plan for one-shot OpenClaw reminders.
This library provides ready-to-use Python functions that AI agents can leverage to perform various tasks including file operations, text analysis, data transformation, memory management, and validation.
Configure OpenClaw memory search to use Ollama as the embeddings server (OpenAI-compatible /v1/embeddings) instead of the built-in node-llama-cpp local GGUF loading. Includes interactive model selection and optional import of an existing local embedding GGUF into Ollama.
Configure OpenClaw to use Alibaba Cloud Bailian provider (Pay-As-You-Go or Coding Plan) through a strict interactive flow. Supports 5 site options and flagship model series. Use this skill when a user asks to add, switch, or repair Alibaba Cloud/Qwen provider configuration in OpenClaw.
Generate beautiful, hand-drawn Mermaid diagrams with robust syntax (quoted labels, ELK layout). Use this skill when the user asks for "diagram", "flowchart", "sequence diagram", or "visualize this process".
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks OpenClaw to add a note, list notes, search notes, or manage note folders.
Smart Telegram reply workflow for OpenClaw: if the user sends text, reply with text; if the user sends a voice note/audio, transcribe locally using the installed mlx_audio (default Qwen3-ASR on Apple Silicon), then generate a meaningful reply in the same language. Send back a Telegram voice note with a caption so the user receives ONE message containing both voice+text (the caption text must match the voice content exactly). Follow the input language (Chinese→Chinese, English→English) unless the user explicitly requests a different language.