Total 53,448 skills, Automation has 1584 skills
Showing 12 of 1584 skills
Connect to and operate Power Automate cloud flows via a FlowStudio MCP server. Use when asked to: list flows, read a flow definition, check run history, inspect action outputs, resubmit a run, cancel a running flow, view connections, get a trigger URL, validate a definition, monitor flow health, or any task that requires talking to the Power Automate API through an MCP tool. Also use for Power Platform environment discovery and connection management. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app
Automate Box cloud storage operations including file upload/download, search, folder management, sharing, collaborations, and metadata queries via Rube MCP (Composio). Always search tools first for current schemas.
Fix findings from autonomous-tests. Args: all | critical | high | vulnerability | file:<path> (default: interactive selection). Example: /autonomous-fixes vulnerability
Schedule cron jobs and automate recurring tasks
Automate Gagelist tasks via Rube MCP (Composio). Always search tools first for current schemas.
Pre-deployment checks for router and switch configuration, including dangerous commands, duplicate addresses, subnet overlaps, stale references, management-plane risk, and IOS-style security hygiene.
Listen for one or more IMAP inboxes with the IDLE command, fetch unread email metadata plus text previews, and forward each message to OpenClaw webhooks. Use when tasks need near-real-time mailbox monitoring, multi-account inbox ingestion via environment variables, and automatic trigger delivery into OpenClaw automation.
Intelligent lead assignment and routing - AI-powered scoring, territory mapping, round-robin distribution, and workload balancing
Automate filling in a form using Playwright MCP
Hokodo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Hokodo data.
Run metric-driven iterative optimization loops. Define a measurable goal, build measurement scaffolding, then run parallel experiments that try many approaches, measure each against hard gates and/or LLM-as-judge quality scores, keep improvements, and converge toward the best solution. Use when optimizing clustering quality, search relevance, build performance, prompt quality, or any measurable outcome that benefits from systematic experimentation. Inspired by Karpathy's autoresearch, generalized for multi-file code changes and non-ML domains.
Puppeteer headless Chrome automation. Use for browser automation.