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pndrpndr 搜索

Agent Skill

pndr 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

100,808

周安装

4,078

GitHub Stars

1

下载量

31,645
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pndr(pndr 搜索)
来源仓库:https://github.com/dgershman/pndr
安装命令:
openclaw skills install pndr
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install pndr

简介

pndr 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于个人生产力管理、任务跟踪和习惯养成的信息整合场景。
  • 通过 openclaw skills install pndr 安装,具体用法请参考 GitHub 仓库文档。
  • 安装前需确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • pndr 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
pndr
description
Personal productivity app with Ideas/Tasks, Journal, Habits, Package tracking, Lists, and more via MCP
homepage
https://pndr.io
metadata
{"openclaw":{"emoji":"📝","requires":{"bins":["mcporter"]}}}

Pndr

Pndr is your personal productivity command center, now accessible to AI agents via MCP (Model Context Protocol).

What You Can Do

With Pndr's MCP integration, AI assistants like Claude can:

  • Manage your tasks - Add, edit, complete, and organize ideas with tags and priorities
  • Track your habits - Create daily habits and mark them complete automatically
  • Journal - Record thoughts and retrieve them with fuzzy search
  • Track packages - Monitor deliveries with tracking numbers and carriers
  • Manage lists - Create checklists, shopping lists, or any collection of items
  • Get insights - View today's focus items, kanban boards, accomplishments, and patterns

All of this happens in your own private Pndr account - the AI just provides a natural language interface to your data.

How It Works

Pndr exposes your personal productivity data through the Model Context Protocol (MCP), allowing AI assistants to interact with your tasks, habits, and journal on your behalf.

Example conversations:

  • "Add a task to call mom tomorrow with high priority"
  • "What's on my plate today?"
  • "Mark my exercise habit as complete"
  • "Show me my accomplishments this week"
  • "Add a journal entry about today's meeting"

The AI uses Pndr's MCP tools behind the scenes to read and write your data securely.

Who Is This For?

This integration is perfect if you:

  • Use an AI assistant (Claude, OpenClaw, etc.) and want it to manage your tasks
  • Want natural language access to your productivity data
  • Like the idea of saying "add this to my todo list" instead of opening an app
  • Already use Pndr and want to access it through AI conversations

Prerequisites

  • A Pndr account (sign up at https://pndr.io)
  • An AI assistant that supports MCP (like Claude Desktop or OpenClaw)
  • For manual setup: mcporter CLI tool

Setup

For OpenClaw Users

OpenClaw can set this up automatically! Just ask your assistant:

"Connect to my Pndr account"

Then provide your Pndr OAuth credentials when prompted.

Manual Setup

  1. Get Pndr API credentials:

- Log in to https://pndr.io - Go to Settings → API → Create OAuth Client - Give it a name (e.g., "My AI Assistant") - Copy your client_id and client_secret

  1. Get an access token:
   curl -X POST https://pndr.io/oauth/token \
     -H "Content-Type: application/json" \
     -d '{
       "grant_type": "client_credentials",
       "client_id": "pndr_client_YOUR_CLIENT_ID",
       "client_secret": "YOUR_CLIENT_SECRET"
     }'

This returns a JSON response with an access_token. Copy it.

  1. Add to your MCP client config:

For mcporter (config/mcporter.json):

   {
     "mcpServers": {
       "pndr": {
         "baseUrl": "https://pndr.io/mcp",
         "headers": {
           "Authorization": "Bearer YOUR_ACCESS_TOKEN"
         }
       }
     }
   }

For Claude Desktop (claude_desktop_config.json):

   {
     "mcpServers": {
       "pndr": {
         "url": "https://pndr.io/mcp",
         "headers": {
           "Authorization": "Bearer YOUR_ACCESS_TOKEN"
         }
       }
     }
   }
  1. Test the connection:
   mcporter list pndr --schema

You should see 47 available tools!

Available Tools

Ideas & Tasks

  • add_idea - Create a new idea/task
  • list_ideas - List and filter ideas
  • edit_idea - Edit an existing idea
  • complete_idea - Mark an idea as completed
  • delete_idea - Delete an idea
  • categorize_idea - Update tags on an idea
  • set_work_status - Set work status (not started, in progress, blocked)
  • get_kanban - Get kanban board view
  • get_today - Get today's focus items

Journal & Thoughts

  • add_thought - Record a journal/diary entry
  • get_thoughts - Retrieve thoughts with fuzzy search
  • delete_thought - Delete a thought

Habits

  • add_habit - Create a new daily habit
  • list_habits - List all habits with completion status
  • complete_habit - Mark a habit as completed for today
  • uncomplete_habit - Undo a habit completion
  • update_habit - Update habit text or resources
  • archive_habit - Archive (delete) a habit

Checklists

  • add_checklist_item - Add a checklist item to an idea
  • complete_checklist_item - Mark checklist item as completed
  • uncomplete_checklist_item - Mark checklist item as not completed
  • get_checklist - Get all checklist items for an idea
  • edit_checklist_item - Edit checklist item text
  • delete_checklist_item - Delete a checklist item

Lists

  • add_list - Create a new list
  • list_lists - Get all lists with optional filtering
  • get_list - Get a single list with items
  • update_list - Update list name, description, or tags
  • delete_list - Delete a list and all its items
  • add_list_item - Add an item to a list
  • update_list_item - Update list item text, notes, or completion
  • toggle_list_item - Toggle list item completion
  • delete_list_item - Remove an item from a list
  • reorder_list_items - Change item order in a list

Packages

  • add_package - Track a new package delivery
  • list_packages - List tracked packages
  • update_package - Update package information
  • mark_package_delivered - Mark a package as delivered
  • delete_package - Delete a package from tracking

Tags

  • list_tags - List all available tags
  • create_tag - Create a new tag
  • delete_tag - Delete a tag

Comments

  • add_comment - Add a comment to an idea
  • list_comments - List comments on an idea
  • delete_comment - Delete a comment

Attachments

  • list_attachments - List attachments for an idea
  • get_attachment - Get attachment metadata
  • download_attachment - Download attachment with base64 data

Analytics

  • get_accomplishments - Get summary of completed tasks and habits
  • get_patterns - Analyze patterns in ideas and thoughts over time

Usage Examples

Once connected, you can interact with Pndr naturally through your AI assistant:

Task Management:

  • "Add a high-priority task to finish the presentation by Friday"
  • "Show me all my work tasks that are in progress"
  • "Mark task [ID] as complete"
  • "What should I focus on today?"

Habits:

  • "Did I complete my exercise habit today?"
  • "Mark my reading habit as done"
  • "What's my current streak for meditation?"

Journaling:

  • "Add a journal entry: Had a breakthrough on the project today"
  • "What was I thinking about last week around this topic?"
  • "Show me my thoughts from January"

Package Tracking:

  • "Track a package from Amazon, tracking number 1Z999..."
  • "What packages am I expecting?"
  • "Mark my laptop package as delivered"

Lists:

  • "Create a grocery list"
  • "Add milk and eggs to my shopping list"
  • "Show me my reading list"

Direct CLI Usage (Advanced)

If you're using mcporter directly:

# Add a task
mcporter call pndr.add_idea text="Build a new feature" tags:work,coding priority:P1

# Check today's focus
mcporter call pndr.get_today

# Complete a habit
mcporter call pndr.complete_habit habit-id:abc123

# Add journal entry
mcporter call pndr.add_thought content="Had a great day working on the project"

# View kanban board
mcporter call pndr.get_kanban tags:work

Authentication

Pndr uses OAuth 2.0 client credentials flow. Access tokens expire after 1 year (365 days).

To refresh your token, repeat the curl command from step 2 and update your mcporter config with the new Bearer token.

Source Code

Open source at https://github.com/Dgershman/pndr

Pricing

  • Free tier: Read-only access
  • Pro ($5/mo or $48/year): Full read/write access

Support

  • Documentation: https://pndr.io/docs
  • Issues: https://github.com/Dgershman/pndr/issues

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.19%
按下载量换算27,275

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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