发现最适合你需求的 AI 技能
Discover Canada like a local with concrete city recommendations, regional insights, nature routes, and practical planning tips.
Track bathroom events (pee/poop) via chat: start time, duration, color, pain, and Bristol stool scale. Generates weekly summaries and optional constipation reminders when no poop occurs past a threshold (default 24h, user-configurable). Use for urination/defecation logging, bowel/bladder trends, stool form tracking, diarrhea/constipation monitoring. Search keywords: bathroom tracker, toilet log, BM tracker, stool tracker, poop tracker, pee tracker. Triggers: poop, pee, bowel movement, stool, uri
中国A股行情与宏观经济数据工具,基于 AKShare 库。支持个股K线、大盘指数、财务摘要、GDP/CPI/PMI/M2货币供应、中美国债收益率等。
Track LLM API costs, tokens, latency, and errors for your AI agent. Use when the user asks about spending, costs, token usage, API errors, rate limits, or wants to monitor agent performance.
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Interact with Slack workspaces - send messages, read channels, manage reactions
Manage API keys locally from the terminal using the `keys` CLI. Use when users want to store, retrieve, search, import, export, or organize API keys and secrets. Handles .env file operations, profile-based key isolation, and secure key management workflows.
A high-performance Agent subsystem for complex multi-agent orchestration. It provides a visual workflow canvas (OASIS) to coordinate OpenClaw agents, automated computer use tasks, and real-time monitoring via a dedicated Web UI. Supports Telegram/QQ bot integrations and Cloudflare Tunnel for secure remote access.
Real-time blockchain event monitoring with webhooks. Use when user asks about setting up webhooks, real-time event streaming, monitoring wallet addresses, tracking token transfers in real-time, listening to all addresses on a chain, creating/updating/deleting streams, adding/removing addresses from streams, or receiving blockchain events as they happen. Supports all EVM chains. NOT for querying historical or current blockchain state - use moralis-data-api instead.
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Wrapper skill for OpenClaw web_fetch results. Use when you need MECE post-processing on fetched pages: policy decision from Content-Signal, privacy redaction, optional markdown normalization fallback, and stable output schema without re-implementing network fetch.
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.