AI Agent & Automation Workflows

Design guidance for any self-contained HTML/Markdown file shown in octo's Artifacts panel — reports, dashboards, architecture/system diagrams, generated UIs, slide-style pages. Read this BEFORE writing the file, not after — it calibrates how much design effort the request warrants and covers the panel's real constraints (sandboxed iframe, no external resources, narrow default width, no live theme push). Use when the user asks to "画架构图" / "generate a diagram" / "make a dashboard" / "produce a report page" / "visualize this as a page" / build any artifact meant to be looked at rather than edited. For chart/graph/plot-specific color and mark rules, also read the dataviz skill.

Configure IM platform channels (Feishu, Weixin/WeChat, WeCom, DingTalk, Discord, Telegram) for octo. Guides the user through platform consoles, collects credentials, writes ~/.octo/channels.yml, and diagnoses connection problems. Trigger on: "channel setup", "setup feishu", "setup weixin", "setup wechat", "setup wecom", "setup dingtalk", "setup discord", "setup telegram", "channel config", "channel status", "channel enable", "channel disable", "channel doctor", "connect feishu", "connect wechat", "connect wecom", "connect dingtalk", "connect discord", "connect telegram". Subcommands: setup, status, enable , disable , doctor.

Sets up configuration files, environment variables, and project configuration. Use when setting up project configuration, environment setup, or configuration management. Creates config files, .env examples, and configuration documentation.

Create, inspect, run, edit, enable/disable, and delete octo's scheduled cron tasks — recurring agent prompts stored in ~/.octo/tasks/.json and executed by the octo serve scheduler. Use when the user wants to schedule a recurring task, e.g. "run X every morning", "schedule a daily report", "set up a cron job", "定时任务", "每天自动跑".

Manage octo's agent profiles through conversation — create, modify, delete, list, and bind agents to IM chats by calling REST APIs. This skill is exclusive to the Default Agent (full-access). Use when the user wants to manage agents conversationally, e.g. "create a code review agent", "list all agents", "bind agent X to this group", "delete agent Y", "创建一个专家", "帮我建个专家", "管理专家", "编辑专家", "删除专家", "专家列表", "把专家 X 绑定到这个群".

Turn a repeatable multi-step task into a runnable, reusable saved workflow through guided conversation, in either of two shapes — chaining existing skills/recordings (wiring each one's output into the next's input), or composing the workflow script's own primitives (agent/parallel/pipeline) directly when the task needs fresh sub-agent orchestration and no existing skill covers it. Figure out which shape fits, generate the Ruby workflow, dry-run it, and save it with workflowsave. Use when the user wants to combine / chain / orchestrate work into one repeatable flow — whether that's several EXISTING skills, or a from-scratch multi-agent script (parallel review, fan-out research, a pipeline over a list) — e.g. "chain these skills", "把这几个技能连起来", "串个流程", "做个 workflow", "编排一下", "build a workflow", "写个并行跑多个 agent 的脚本". Do NOT use to author a single new skill (that is skill-creator), to run one skill/agent a single time (just call it), or to design a recurring/self-triggering loop with its own trigger and state file (that is loop-engineering — a saved workflow is just the one-shot script such a loop calls, not the loop itself).