← all publishers

longsizhuo

@longsizhuo source repo

8 published skills

  1. Home Assistant · longsizhuo bundle
    控制家里的智能设备(通过 Home Assistant)——灯、空调、电视、小爱音箱、洗衣机、电水壶、香氛机、门锁等小米/米家设备。可以开关设备、查设备状态、读传感器(温度、湿度、耗电、门锁状态、电池电量)、调用任意 HA 服务(调温度、调亮度、播放媒体)。当用户说"开灯""关空调""把空调调到26度""家里现在多少度""门锁上了吗""洗衣机洗完了吗"这类话时使用。Use whenever the user asks to turn a home device on/off, asks about a device's state, or asks about conditions at home.
    0
    installs
  2. Boss Zhipin Helper · longsizhuo bundle
    帮助新手把 BossZhiPin_Job_Search 这个 BOSS 直聘自动打招呼脚本跑起来。覆盖两种用户路径——(A) 直接下载桌面 App(.app / .dmg / .exe)的非开发者,常见症状:"Gatekeeper 拦"、"双击没反应"、".app 闪退"、"GUI 里配 API key"、"界面中英文怎么切"、"用不明白想让 AI 看看状态(「问 AI 帮忙」按钮)";以及 (B) clone 源码 + uv 跑命令行的开发者,常见症状:"uv 命令找不到"、"扫码扫不上"、"Chrome 起来空白"、"卡在哪一步"。当用户提到 BossZhiPin_Job_Search、BOSS 直聘脚本、自动招呼语、my_cover.pdf、chrome_profile、DEEPSEEK_API_KEY、Tauri、DMG 安装、PyTauri 等本项目特有概念,或者明显在按 README 走但被某一步卡住时,主动使用此 skill。即使用户没有明说"帮我装",只要场景对得上就用。
    0
    installs
  3. I See You · longsizhuo bundle
    Take a still photo from the machine's local webcam with ffmpeg, then read/analyze or send the image. Cross-platform — Linux (V4L2), macOS (AVFoundation), Windows (DirectShow). Trigger when the user asks to "看看我", "take a photo", "take a picture", "selfie", "拍照", "自拍", "看看现在的环境/房间", or when the agent needs to visually observe the physical environment through the machine's camera. Requires ffmpeg and a local camera.
    0
    installs
  4. Deploy Mcbot · longsizhuo bundle
    Deploy and configure MCBot, a Minecraft AI chat bot with RCON abilities. Use when the user wants to set up MCBot on a Minecraft server, configure AI providers (DeepSeek/OpenAI/Claude/Ollama), enable RCON, manage the bot service, or troubleshoot MCBot issues.
    0
    installs
  5. Invest · longsizhuo bundle
    openInvest multi-asset AI investment committee — **daily use**. Read portfolio / live prices / strategy / decision history / adjust positions / run a 4-role LLM committee for an investment verdict. Supports any yfinance symbol (A-share / HK / US / ETF / crypto / commodities) and any currency. **Two paths** — (1) Coordinator, Claude Code spawns 4 subagents, saves DeepSeek tokens; (2) Direct, any agent (Codex / Hermes / OpenClaw / Cursor / Cline / plain script) runs `run.sh run_committee <SYM>` for a one-shot verdict. **Trigger scenarios** — "show portfolio / 看看我的持仓", "how is my P&L / 我现在涨了多少", "should I buy/sell X / 该不该买卖X", "analyze X / 分析一下X", "run committee on X / 跑委员会", "track AAPL / 跟踪苹果", "add/trim a position, log a trade / 加仓减仓记一笔". **First-time install uses a separate skill `invest-setup`** (switch to it when `doctor` returns `needs_setup`). Backend — longsizhuo/openInvest.
    0
    installs
  6. Okf Frontmatter · longsizhuo bundle
    Maintain openInvest's docs (docs/wiki chapters + docs/wiki/adr) under Google's Open Knowledge Format (OKF). Two jobs. (1) Teach agents to maintain docs the OKF way — every doc carries a small YAML frontmatter block as the single source of truth (type, title, tags, intent, schema_source, documents); schema details link to the authoritative code instead of being copied into prose; no more hand-maintained thousand-line markdown. (2) Look docs up fast — grep the literal term FIRST; only when grep is ambiguous (hits scattered across files / synonym mismatch / zero hits) run find_docs.py to rank the owning doc by frontmatter intent, or resolve a doc's schema_source to the real code. Trigger phrases — "which doc covers X", "find the schema for PortfolioResponse", "where is GET /api/holdings documented", "docs for verdict.risk_profile", "add OKF frontmatter to this doc", "lint the wiki", "scaffold a new ADR/chapter". Run: scripts/run.sh find|schema|index|lint|new (or python3 scripts/find_docs.py --repo <path> ...).
    0
    installs
  7. Invest Setup · longsizhuo bundle
    First-time openInvest installation and onboarding. **ONLY use when** user explicitly says "set up invest" / "init invest" / "帮我初始化 invest", OR when `invest` skill's `doctor` returns `status="needs_setup"`. **NOT for daily usage** — once onboarding is done, the `invest` skill takes over (portfolio viewing, committee analysis, buy/sell tracking). Wraps `run.sh init --from-stdin` with the canonical 5-question flow.
    0
    installs
  8. Invest Backup · longsizhuo bundle
    Back up / restore openInvest's local state — memory/ (holdings, strategy, user profile, committee records, dream logs) + db/ (trade ledger, job run history, market-data cache) + .env (SMTP/API credentials) + user_profile.json. All of this data is .gitignore'd with no historical versions in git, so a single accidental overwrite (e.g. slipping and running some one-off migration/init script) means real data loss — no git revert available. **Proactive trigger scenarios** — "backup invest data / 备份一下 openInvest 的数据", "my holdings/strategy look wiped / 我的持仓/策略好像被清空了", "invest data is lost / invest 数据丢了", "restore invest backup / 恢复一下 invest 的备份", before any reinstall/migration of the openInvest deployment on this machine, or right before running an unfamiliar migration/init script (back up first, then act).
    0
    installs