By psychquant
Auto-triggered Skills for querying R package documentation via WebFetch. Covers CRAN, tidyverse, Shiny, and general R packages. /r-docs-guide for cross-ecosystem lookup.
Search and discover R packages on CRAN by topic or task. Use this skill when: - User needs to find R packages for a specific task - Looking up CRAN Task Views for a domain - Checking package dependencies or reverse dependencies - Comparing packages for the same purpose - User says "what R package for...", "find an R package", "CRAN search"
Query R package documentation across all ecosystems at once (CRAN, tidyverse, Bioconductor). Use this skill when: - Looking up R package usage, functions, or vignettes - Comparing packages for the same task (e.g., data.table vs dplyr) - User says "R docs", "how to use this R package", or asks about R functions - Need to find the right R package for a task
Query Shiny framework documentation for building interactive web applications in R. Use this skill proactively when the conversation involves: - Shiny app development (ui, server, reactive) - Shiny UI components (fluidPage, navbarPage, tabsetPanel) - Reactive programming (reactive, observe, eventReactive, reactiveVal) - Shiny modules (moduleServer, NS) - shinydashboard, bslib, shinyWidgets - Deploying Shiny apps (shinyapps.io, Posit Connect) - R Shiny debugging, testing (shinytest2)
Query tidyverse package documentation (dplyr, ggplot2, tidyr, purrr, readr, stringr, forcats, tibble, lubridate). Use this skill proactively when the conversation involves: - tidyverse packages or pipe workflows (%>%, |>) - dplyr verbs (filter, mutate, summarise, group_by, join) - ggplot2 plotting (geom_, aes, theme, scale_) - tidyr reshaping (pivot_longer, pivot_wider, nest, unnest) - purrr functional programming (map, walk, reduce) - readr/readxl data import - stringr string manipulation - lubridate date/time handling
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個人 Claude Code Plugin Marketplace,專注於學術研究與生產力工具。
# 添加 Marketplace
/plugin marketplace add PsychQuant/psychquant-claude-plugins
# 安裝 Plugin
/plugin install mcp-tools@PsychQuant/psychquant-claude-plugins
/plugin install che-things-mcp@PsychQuant/psychquant-claude-plugins
/plugin install che-ical-mcp@PsychQuant/psychquant-claude-plugins
| Plugin | 說明 | MCP Tools |
|---|---|---|
| che-things-mcp | Things 3 任務管理 | 47 |
| che-ical-mcp | macOS 行事曆 & 提醒事項 | 20 |
| che-apple-mail-mcp | Apple Mail 郵件管理 + 歸檔 | 60+ |
| che-word-mcp | Word 文件處理 | 104 |
| che-duckdb-mcp | DuckDB 資料庫操作 | 14 |
| mcp-tools | MCP Server 開發工具集 | - |
| r-shiny-debugger | R Shiny App 功能測試 | - |
| ai-docs-guide | Claude Code + OpenAI 文檔查詢助手 | - |
| claude-config-guide | - | |
| postgresql-guide | PostgreSQL 文檔查詢助手 | - |
| che-dropbox-ignore | Dropbox 同步排除管理 | - |
| claude-switch | Claude Code 模型切換 | - |
| che-bot-toolkit | Bot 開發工具集 | - |
| che-xcode-mcp | Xcode / App Store Connect | 80+ |
Things 3 任務管理,提供完整的 GTD 工作流程支援。
需求: CheThingsMCP binary
# 快速指令
/today # 今日任務
/inbox # 收件匣
/quick-task Buy milk # 快速建立任務
/projects # 專案總覽
/upcoming # 即將到來
| 功能分類 | 說明 |
|---|---|
| List Access | Inbox, Today, Upcoming, Anytime, Someday, Logbook |
| Task CRUD | 建立、更新、完成、刪除、搜尋任務 |
| Project/Area | 專案與區域管理 |
| Tags | 標籤管理(支援階層) |
| Batch Ops | 批次建立、完成、刪除、移動、更新 |
| Checklist | 子項目清單管理 |
macOS 原生行事曆與提醒事項整合,使用 EventKit 框架。
需求: CheICalMCP binary
# 快速指令
/today # 今日行程
/week # 本週總覽
/quick-event Meeting at 2pm # 快速建立事件
/remind Call mom tomorrow # 快速建立提醒
| 功能分類 | 說明 |
|---|---|
| Calendars | 列出、建立、刪除行事曆 |
| Events | 事件 CRUD、搜尋、衝突檢查 |
| Reminders | 提醒事項 CRUD |
| Batch Ops | 批次建立、移動、刪除事件 |
| Utilities | 重複事件偵測、事件複製 |
Apple Mail 郵件管理,透過 AppleScript 原生整合。
需求: CheAppleMailMCP binary
# 郵件歸檔
/che-apple-mail-mcp:archive-mail [email protected]
/che-apple-mail-mcp:archive-mail [email protected] communication/emails
| 功能分類 | 說明 |
|---|---|
| Mailboxes | 列出帳號、信箱 |
| Emails | 搜尋、讀取、回覆、轉寄 |
| Drafts | 草稿管理 |
| Archive | 歸檔郵件到 Markdown |
| Rules | 郵件規則管理 |
MCP Server 開發必備工具,提供完整的除錯與測試流程。
/mcp-tools:diagnose che-ical-mcp # 連線診斷
/mcp-tools:debug che-ical-mcp # 功能除錯
/mcp-tools:test che-ical-mcp # 完整測試
/mcp-tools:new-mcp-app # 建立新 MCP 專案
/mcp-tools:mcp-deploy # 部署 MCP Server
| Command | 用途 |
|---|---|
diagnose | 確認 MCP Server 連線正常 |
debug | 診斷功能問題(權限、框架特定) |
test | 驗證所有 tools 正常運作 |
new-mcp-app | 互動式建立新 MCP 專案 |
mcp-deploy | 編譯、打包、發布 GitHub Release |
mcp-upgrade | 分析專案並提供升級建議 |
mcp-install | 從 GitHub Release 下載安裝 |
mcpb-sync | Binary 一致性同步(Swift) |
整合前端 (agent-browser) 與後端 (R console) 的 R Shiny App 功能測試。
/shiny-debug
/shiny-debug 上傳 CSV 後圖表會更新
Claude Code + OpenAI 文檔查詢助手。整合兩個 Auto-triggered Skills,自動根據問題類型 WebFetch 對應官方文檔。
包含 Skills:
claude-docs-guide — Claude Code CLI / API / SDK 文檔openai-docs-guide — OpenAI API / SDK / Models 文檔特點: 繞過 OpenAI Docs MCP 壞掉的 fetch_openai_doc tool,直接 WebFetch 官方文檔 URL。
已被
ai-docs-guide取代。功能完全包含在ai-docs-guide的claude-docs-guideskill 中。
MIT
npx claudepluginhub psychquant/psychquant-claude-plugins --plugin r-docs-guide歸檔 LINE macOS 聊天記錄到文字檔
Protect files from AI-assisted deletion with the Archive-First strategy. PreToolUse hooks block destructive commands on archived/ paths. Toggle protection with archived-lock/archived-unlock.
Zotero reference manager + academic search + knowledge graph MCP Server
Telegram MCP Server Plugin — Bot API + 個人帳號 TDLib 全功能存取,28+ 工具,Keychain 密鑰管理
Write letters, emails, autobiographies, and formal documents by simulating the writer's authentic voice. Uses Tarski's T-Schema to ensure every sentence has a concrete referent, and a 6-phase process (understand writer, understand recipient, simulate, write, anti-pattern check, iterate) to produce writing that sounds like a real person, not AI.
Collection of skills for Shiny app development
Access official Microsoft documentation, API references, and code samples for Azure, .NET, Windows, and more.
Make your AI agent code with your project's architecture, rules, and decisions.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.