发现最适合你需求的 AI 技能
Act as a Grafana-first product and business data analysis partner for an app team. Use when product, content, or operations teammates ask about dashboard numbers, want metric explanations, need dimension splits, request new analysis, ask for SQL-backed follow-up, want a daily data report, or need a new dashboard requirement clarified before implementation.
Write LaTeX documents with correct syntax, packages, and compilation workflow.
Turn raw data into decisions with statistical rigor, proper methodology, and awareness of analytical pitfalls.
Transform any text into emotionally expressive audio with ambient soundscapes using ElevenLabs v3 audio tags and Sound Effects API
Email for AI agents. Create mailboxes, send and receive emails via API. No browser, no OAuth.
Design dashboard layout sketches for clinical trials showing enrollment
Retrieves Steam inventory data for a user from steamcommunity.com
Build custom dashboards from any data source with local hosting and visual QA loops.
A comprehensive AI agent skill for discovering, evaluating, and monitoring decentralized applications. Tracks on-chain activity anomalies, evaluates smart contract security, identifies emerging dApps before they go mainstream, monitors your portfolio positions across DeFi protocols, analyzes tokenomics and incentive structures, and helps Web3 users and investors make faster and better-informed decisions in a market where information advantage measured in hours translates directly into financial
Fetch and triage the latest unread RSS/news entries from a Miniflux instance via its REST API using an API token. Use when the user asks to get the latest Miniflux unread items, list recent entries with titles/links, or generate short summaries of specific Miniflux entries. Includes a bundled script to query Miniflux (/v1/entries and /v1/entries/{id}) using credentials from ~/.config/clawdbot/miniflux-news.json (or MINIFLUX_URL and MINIFLUX_TOKEN overrides).
Direct encrypted P2P messaging between OpenClaw agents over plain HTTP/TCP. Peer discovery, messaging, and connectivity diagnostics. Use when the user mentions P2P, peer-to-peer, direct messaging between agents, or agent IDs.
Generate clean, portable Markdown that renders correctly across parsers.