What problem does it solve? Building repeatable automations that chain LLM calls, shell commands, HTTP requests, and human approvals usually requires heavy orchestration frameworks or visual tools that agents cannot reliably author. This Skill lets an agent write, validate, publish, and execute complete workflows as plain JSON flow definitions. ## Core Features & Use Cases - Full flow lifecycle tools: create, edit, read, list, publish, run, resume, and schedule flows via flow_create, flow_edit, flow_publish, flow_run, and flow_trigger. - 12 node types: ai (structured LLM calls with schemas and attachments), agent (delegation to OpenClaw agents), exec, http, code, loop, branch, condition, parallel, memory, wait (approval gates and events), and sleep. - Versioning and scheduling: draft/publish versioning with immutable snapshots, plus cron-based triggers with per-trigger inputs and timezone support. - Use Case: Build a content pipeline that researches a topic with an AI node, drafts a post, pauses for human approval via a wait node, then publishes through an HTTP call with retries. ## Quick Start Ask the agent to create a flow that drafts a LinkedIn post from a topic using an AI node with a schema, then run it with flow_run.