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mondaymonday 搜索

Agent Skill

monday 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

392

周安装

16

GitHub Stars

4

下载量

127
CodexClaudeCursorGemini CLI

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

unknown

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:monday(monday 搜索)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/monday
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill monday
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/alphaonedev/openclaw-graph --skill monday

简介

该技能用于 Monday.com 项目管理平台 API 集成,支持看板与自动化操作。

  • 适用于任务创建、状态更新及仪表盘数据导出等协作场景。
  • 通过 GitHub 仓库安装,适用于 Codex、Claude、Cursor、Gemini CLI。
  • 需获取 API 密钥并限定最小权限范围以避免越权操作。
  • 建议先在测试看板验证流程后再应用于生产环境。

SKILL.md

monday

Purpose

This skill enables interaction with Monday.com's API for managing boards, items, columns, automations, integrations, dashboards, and timelines. Use it to automate project management tasks, query data, or integrate with other tools via the API.

When to Use

  • When you need to programmatically create or update Monday.com boards and items for project tracking.
  • For automating workflows, such as triggering actions based on board changes or integrating with external services.
  • In scenarios requiring data extraction from dashboards or timelines for reporting or analysis.

Key Capabilities

  • Create, read, update, and delete (CRUD) operations on boards, items, and columns.
  • Manage automations and integrations via API calls.
  • Access and manipulate dashboards and timelines for visualization and scheduling.
  • Handle API queries for real-time data, including filtering and pagination.
  • Support for webhooks to react to events like item creation or updates.

Usage Patterns

Always initialize with authentication using the $MONDAY_API_KEY environment variable. Make API requests via HTTP clients like requests in Python. Structure calls as JSON payloads with required fields. For example, wrap API calls in try-except blocks for error handling. Use rate limiting by checking Monday.com's API docs for thresholds (e.g., 100 requests/min). Common pattern: Authenticate once, then chain multiple API calls in a session.

Common Commands/API

Use Monday.com's REST API with base URL https://api.monday.com/v2. Set the Authorization header with Authorization: YOUR_API_KEY. Here's how to query boards:

Endpoint: GET /v2/boards Code snippet:

import requests
headers = {'Authorization': os.environ['MONDAY_API_KEY']}
response = requests.get('https://api.monday.com/v2/boards', headers=headers)
print(response.json())

To create an item on a board: Endpoint: POST /v2/pulses Payload: {"query": 'mutation {create_item (board_id: 123456, item_name: "New Task") {id}}'} Code snippet:

import requests
headers = {'Authorization': os.environ['MONDAY_API_KEY'], 'Content-Type': 'application/json'}
data = {"query": 'mutation { create_item (board_id: 123456, item_name: "New Task") { id } }'}
response = requests.post('https://api.monday.com/v2', headers=headers, json=data)
print(response.json()['data']['create_item']['id'])

For updating a column: Endpoint: POST /v2 Query: mutation {change_column_value (board_id: 123456, item_id: 654321, column_id: "status", value: ""Done"") {id}} Use flags like board_id and item_id in queries for specificity.

Integration Notes

Store your API key in $MONDAY_API_KEY for secure access; never hardcode it. Integrate with other tools by setting up webhooks (e.g., POST to a custom endpoint on item creation). For OAuth, use Monday.com's flow if needed, but API key suffices for most CLI/API uses. Config format: JSON for payloads, e.g., {"query": "your_graphql_query"}. When integrating with services like Zapier, reference Monday.com's webhook events (e.g., "item_created"). Ensure your app handles CORS if building a web interface.

Error Handling

Check response status codes: 200 for success, 401 for unauthorized (verify $MONDAY_API_KEY), 429 for rate limit (add retry logic with exponential backoff). Parse JSON errors for details, e.g., if "errors" key exists, log the message like "Invalid board_id". Use try-except in code:

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()
except requests.exceptions.HTTPError as err:
    print(f"Error: {err.response.status_code} - {err.response.json()['errors']}")

Handle common issues like invalid IDs by validating inputs before API calls.

Concrete Usage Examples

  1. Create a new board and add an item: First, authenticate with $MONDAY_API_KEY. Use the POST /v2 endpoint to create a board: mutation {create_board (board_name: "My Project") {id}}. Then, add an item: mutation {create_item (board_id: <new_board_id>, item_name: "Task 1") {id}}. This automates board setup for a new project.
  2. Query items and update a column: Fetch items from a board using GET /v2/boards/{board_id}/items. Filter with query params like limit=50. Then, update a status column: mutation {change_column_value (board_id: 123456, item_id: 654321, column_id: "status", value: "\"In Progress\"")}. Useful for daily status updates in automations.

Graph Relationships

  • Related to: boards (parent), items (child), columns (attribute)
  • Integrates with: automations (triggers), integrations (external links), dashboards (visualizations), timeline (scheduling)
  • Connected via: API endpoints for data flow, webhooks for event-driven interactions

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

33.13%
按下载量换算42

Claude

33.24%
按下载量换算42

Cursor

17.85%
按下载量换算23

Gemini CLI

8.61%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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