jessepwj

Set up a complete agent team with file-based planning for complex multi-agent projects. Use when: (1) user asks to start a new complex project with a team/swarm, (2) user says "set up team", "create team", "build a team for X", "start project X", (3) user invokes /CCteam-creator-cn with a project name, (4) user wants to organize a multi-phase project with parallel agent workers and persistent progress tracking. Creates TeamCreate, planning files (.plans/project/), per-agent work directories, and spawns configured teammates. TRIGGER on: "team", "swarm", "start project", "set up project", "create team for", "build team", "organize project", "multi-agent project". IMPORTANT: You (team-lead) MUST read all reference files directly — do NOT delegate to subagents. NOTE: After initial setup, you can add new teammates at any time — just spawn a new Agent with the team_name and follow the same onboarding pattern. The team is not locked after creation.

Set up a complete agent team with file-based planning for complex multi-agent projects. Use when: (1) user asks to start a new complex project with a team/swarm, (2) user says "set up team", "create team", "build a team for X", "start project X", (3) user invokes /CCteam-creator with a project name, (4) user wants to organize a multi-phase project with parallel agent workers and persistent progress tracking. Creates TeamCreate, planning files (.plans/project/), per-agent work directories, and spawns configured teammates. TRIGGER on: "team", "swarm", "start project", "set up project", "create team for", "build team", "organize project", "multi-agent project". IMPORTANT: You (team-lead) MUST read all reference files directly — do NOT delegate to subagents. NOTE: After initial setup, you can add new teammates at any time — just spawn a new Agent with the team_name and follow the same onboarding pattern. The team is not locked after creation.

CLAWS-UIS：人类示教的计算机操控智能体，支持 Windows 和 macOS。适用场景：(1) 录制人类操作演示（屏幕 + 鼠标 + 键盘），(2) 解析录制内容为语义化操作轨迹，(3) 基于学习到的轨迹执行 GUI 自动化任务，(4) 将工作流编译为可复用的混合 RPA+Agent 脚本，(5) 回放编译脚本并支持参数替换，(6) 配置双模型 API（Gemini + Kimi），(7) 涉及桌面自动化、GUI 智能体、录屏、轨迹学习或工作流编译的任何任务。触发关键词：录制演示、解析轨迹、运行智能体、编译工作流、回放脚本、CLAWS、Aloha、GUI 自动化、计算机操控智能体、RPA。

Design recurring knowledge-base update loops for Obsidian-style vaults, project wikis, second-brain folders, and research notebooks. Use when setting up automated source ingestion, daily reflection, meeting-note processing, health checks, state cursors, runbooks, scheduler prompts, or validation gates for a maintained knowledge system.

从零搭建一个自己可控的 AI API 中转站并部署 Sub2API(Wei-Shaw/sub2api)网关。指导完成:去哪买服务器与买什么规格、 域名合规选择、系统初始化(Docker/Caddy/fail2ban/UFW/swap)、docker compose 部署、Caddy 反代+域名+Let's Encrypt 自动 HTTPS、 后台 settings 表与数据库配置、管理员与普通用户/API Key 治理、上游渠道与分组接入、把旧 CRS 服务器迁移成 Sub2API、 烟测与长期运维(升级/备份/1C2G 防 OOM/欠费恢复)。所有真实 IP、域名、密码一律用占位符。 Use when the user wants to: 搭建/自建 AI 中转站、部署 sub2api、搭 AI API 网关、订阅转 API、把 CRS 迁到 sub2api、 给中转站换域名、配 Caddy 反代 HTTPS,或问"怎么买服务器搭中转"。触发词:中转站 / sub2api / AI API 网关 / 自建中转 / relay / gateway / 订阅转 api / Caddy HTTPS / 换域名 / CRS 迁移。

Design and set up recurring knowledge-base update workflows for an Obsidian/LLM wiki or similar second-brain vault. Use for auto-update wiki setups, source monitoring/ingestion, daily reflection/reminder/status lanes, health checks, or cross-platform scheduler/runtime selection. Triggers on: auto-update wiki, maintain my vault, set up knowledge-base automation, recurring ingestion, nightly reflection, wiki health check, schedule wiki tasks, second-brain automation.

End-to-end workflow for editing narrated talking-head or screen-recording videos with Video Use-style text/timeline cleanup and HyperFrames motion overlays. Use when the user asks to cut a video, remove filler words/口水话/repeated phrases/false starts/silence, use Alibaba ASR, plan dynamic overlays, create preview/example pages for confirmation, render a final MP4, or build a nested demo video using Video Use and HyperFrames together.