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Agent Skill · 研究检索

monday-com(周一通讯)

monday-com 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。

monday-com 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 11,158。

总安装 11,628周安装 475GitHub Stars 公开资料未说明下载 3,724核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.3.0

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-com(周一通讯)
来源仓库:https://github.com/regevguym/monday-com
安装命令:
openclaw skills install monday-com
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 monday-com

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

monday-com 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。适用于管理 monday.com 版块、项目、栏目、组、更新和工作流程等任务场景。

通过 MCP 服务器(首选)和 GraphQL API(后备)与 monday.com 交互,支持创建、读取、更新和删除操作。安装命令为 openclaw skills install monday-com,需确认权限范围和维护状态。使用前建议核实是否会触发联网、命令执行或文件读写,避免安全风险。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install monday-com;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

monday-com 怎么安装?

在终端执行 openclaw skills install monday-com。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

monday-com 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

monday-com 需要什么权限?

权限级别是接触敏感数据。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。

monday-com 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

monday-com 用的人多吗?

公开数据是累计安装 11,628 次,近一周安装 475 次,下载 3,724 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

monday-com 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
monday-com

周一通讯 · 本页

11,628—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
monday
version
1.3.0
description
Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback). Use when a user asks to create tasks, update statuses, manage projects, query boards, automate workflows, manage CRM, track development, or interact with any monday.com resource. Also use for AI features like AI Blocks, Sidekick skills, or agent workflows on monday.com.
homepage
https://developer.monday.com
metadata
{"openclaw": {"emoji": "📋", "requires": {"env": ["MONDAY_API_TOKEN"]}, "primaryEnv": "MONDAY_API_TOKEN"}}

monday.com

Manage everything on monday.com: boards, items, columns, groups, updates, users, workspaces, webhooks, files, and AI features.

If you need to signup new account this is how to Sign Up

  1. Navigate to https://auth.monday.com/users/sign_up_new?custom_flow=agent_bot
  1. Solve Hatcha — an agent-verification challenge. Types you may see:

- Sort numbers ascending → find the Nth value - Binary octets → convert to ASCII text - Reverse a string - Count letter occurrences in text - Multiply two numbers (return the product) - Base64 decode - ROT13 decode - Hex to ASCII

You have ~30 seconds. Submit your answer and click Verify.

  1. Enter your email and select who it belongs to (you or your operator). Click Submit.
  1. Set your agent name and password. Password rules:

- Minimum 8 characters - At least 1 digit, 1 lowercase, 1 uppercase - No repeating characters (e.g. "aaa") - No sequential characters (e.g. "1234")

Click Complete signup →

  1. You'll land on the Agent Homepage — "Welcome to Monday for agents." This page has everything you need:

- API Token — copy it, you'll need it for all API/MCP calls save it to env like MONDAY_API_TOKEN - MCP Config — JSON config for connecting via MCP (preferred method) - Skills — downloadable YAML skill definition - GraphQL API — example queries and mutations - Resources — links to docs, SDK, community

Setup when you have account but don't have access token

  1. Go to monday.com → Profile picture → Developers → My Access Tokens
  2. Copy your Personal API V2 Token
  3. Store it securely in your agent's environment or config (e.g. via openclaw config set or your platform's secrets manager)

MCP Server (Preferred Method)

Always use the MCP server first. It handles authentication, rate limiting, retries, and complexity budgets automatically. Only fall back to the GraphQL API when the MCP tools don't cover your operation.

monday.com has an official MCP server (@mondaydotcomorg/monday-api-mcp):

{
  "mcpServers": {
    "monday": {
      "command": "npx",
      "args": ["-y", "@mondaydotcomorg/monday-api-mcp@latest"],
      "env": {
        "MONDAY_API_TOKEN": "<your-api-token>"
      }
    }
  }
}

How to invoke MCP tools

If your platform supports MCP natively (e.g. Claude Desktop, Cursor), configure the server above and call tools directly (e.g. create_item, get_board_schema).

If your platform does not have native MCP support (e.g. OpenClaw agents executing via shell), you have two options:

  1. Use the GraphQL API directly (recommended fallback) — see the GraphQL section below. This is simpler and more reliable than shelling out to an MCP process.
  2. Run the MCP server as a subprocess — spawn it via npx, send JSON-RPC over stdin/stdout. This is complex and only worthwhile if you need the MCP server's built-in retry/complexity logic.

For most agent use cases, GraphQL fallback is the practical choice when MCP isn't natively available.

MCP Tools Reference

ToolWhat It DoesWhen to Use
create_boardCreates a new board with a name and kind (public/private/share)User asks to set up a new project, tracker, pipeline, or workspace board
get_board_schemaReturns board columns, groups, and structureBefore creating/updating items — always call this first to know column IDs and types
create_groupCreates a new group on a boardSetting up phases, sprints, stages, or categories on a board
create_columnAdds a new column to a board (status, date, people, numbers, etc.)User wants to track a new field — priority, due date, assignee, budget, etc.
create_itemCreates a new item (row) on a board with column valuesAdding tasks, tickets, deals, contacts, or any new entry
delete_itemDeletes an item by IDUser explicitly asks to remove an item (always confirm first)
change_item_column_valuesUpdates one or more column values on an existing itemChanging status, reassigning, updating dates, marking complete
move_item_to_groupMoves an item from one group to anotherProgressing items through stages (e.g., "To Do" → "In Progress" → "Done")
get_board_items_by_nameSearches for items on a board by nameFinding a specific task, deal, or ticket by its title
create_updateAdds a comment/update to an itemPosting progress notes, status updates, handoff notes, or feedback

MCP Workflow Pattern

  1. Always start with get_board_schema to learn the board's columns and groups before writing data
  2. Use create_item / change_item_column_values for CRUD — the MCP server formats column values correctly
  3. Use create_update to leave a trail of context on items
  4. If you need an operation the MCP tools don't cover (webhooks, file uploads, user queries, subitems, pagination) — fall back to the GraphQL API below

Advanced MCP Modes

  • Dynamic API Tools (beta): Add --enable-dynamic-api-tools true to args for full GraphQL schema exploration via MCP
  • Hosted MCP (OAuth): Use https://mcp.monday.com/sse for OAuth-based access without a local token

Agent Behavior Rules

Be proactive and useful:

  • After creating any item, board, group, or update — always return the direct URL to the created object: https://<account>.monday.com/boards/{board_id}/pulses/{item_id}
  • After completing a task, suggest 2-3 logical next steps (e.g., "Want me to assign someone?" "Should I set a due date?" "Want me to create a status automation?" "Should I add subitems to break this down?")
  • Don't narrate the API/MCP process — report what was done and how the user can use it
  • When querying boards, present results in a clean summary (table or bullet points), not raw JSON
  • If an operation fails, explain why in plain language and suggest a fix — don't just show the error
  • Batch related operations (e.g., creating multiple items) into efficient calls
  • Before creating a board, ask if the user wants a specific template or structure — suggest popular ones (Kanban, Sprint Board, CRM Pipeline, Bug Tracker)
  • When a user asks "what's the status of X?", go beyond raw data — highlight blockers, overdue items, items without assignees, and progress percentages
  • If you notice a board has no automations, suggest useful ones ("Want me to set up an automation to notify you when items are marked Done?")
  • When creating items, proactively set reasonable defaults (e.g., status = "Not Started", assign to the requesting user if known)
  • When working with dates, always use the user's timezone context and flag items that are overdue or due within 24 hours
  • After bulk operations (creating 5+ items), provide a count summary and a link to the board rather than listing every item

Memory & caching (platform-specific):

These patterns apply to agents with persistent memory (e.g. OpenClaw workspace). Adapt to your platform's memory model.
  • Save every created resource (ID, name, URL, context) to your memory/notes for reuse — include the board name, item name, and what it's for so you can find it later without re-querying
  • If a user references a board or item by name and you've seen it before, retrieve the saved ID from memory instead of re-querying
  • Cache board schemas after the first fetch — only re-query if the user mentions adding/changing columns

GraphQL API (Fallback)

Use the GraphQL API directly when MCP tools don't cover the operation (webhooks, file uploads, subitems, pagination, user/workspace queries, activity logs).

  • Endpoint: https://api.monday.com/v2 (POST, JSON body with query field)
  • File uploads: https://api.monday.com/v2/file (multipart POST, max 500MB)
  • Auth: Include your API token in the request header (see API docs)
  • API version: Include API-Version: 2024-10 header. Check developer.monday.com/api-reference for the current stable version.
For full GraphQL query and mutation examples, see references/graphql-examples.md.

Core Operations (GraphQL)

All operations use POST to the API endpoint with a query field. Key operations:

OperationMutation/QueryKey Fields
List boards{ boards(limit: 25) { id name } }order_by: used_at
Get board + items{ boards(ids: [...]) { columns groups items_page { ... } } }Always fetch schema first
Create boardcreate_board(board_name, board_kind, workspace_id)Kinds: public, private, share
Create itemcreate_item(board_id, group_id, item_name, column_values)column_values = JSON string
Update columnschange_multiple_column_values(board_id, item_id, column_values)Prefer over single-column updates
Create groupcreate_group(board_id, group_name, group_color)—
Add commentcreate_update(item_id, body)Supports HTML
Create subitemcreate_subitem(parent_item_id, item_name)Returns subitem board ID
Move itemmove_item_to_group(item_id, group_id)—
Delete itemdelete_item(item_id)Always confirm first
Search by columnitems_page_by_column_values(board_id, columns)Column ID + value filter
Activity logsboards(ids) { activity_logs(limit, from, to) }Events: update_column_value, create_pulse, etc.
Create webhookcreate_webhook(board_id, url, event)Events: change_column_value, create_item, etc.
User info{ me { id name email account { slug } } }Get account slug for URLs
Workspaces{ workspaces { id name kind } }—

Pagination

Use cursor-based pagination for large datasets:

  1. First request: include items_page(limit: 200) — returns a cursor
  2. Next pages: use next_items_page(limit: 200, cursor: "CURSOR_VALUE")

Recommended page size: 200. Max: 500. Cursors expire after 60 minutes.

Column Value Formats

When setting column values, use these JSON formats:

Column TypeJSON Format
Status{"label": "Done"} or {"index": 1}
Date{"date": "2026-03-15"} or {"date": "2026-03-15", "time": "14:30:00"}
Person{"personsAndTeams": [{"id": 12345, "kind": "person"}]}
Numbers"42" (string)
Text"Hello world"
Dropdown{"labels": ["Option A", "Option B"]}
Checkbox{"checked": "true"}
Email{"email": "[email protected]", "text": "Contact"}
Phone{"phone": "+15551234567", "countryShortName": "US"}
Link{"url": "https://example.com", "text": "Click here"}
Timeline{"from": "2026-03-01", "to": "2026-03-31"}
Long Text{"text": "Detailed description here"}
Rating{"rating": 4}
Hour{"hour": 14, "minute": 30}
Week{"week": {"startDate": "2026-03-09", "endDate": "2026-03-15"}}
Color{"color": {"hex": "#FF5AC4"}}
Tags{"tag_ids": [123, 456]}
Country{"countryCode": "US", "countryName": "United States"}
Location{"lat": "40.7128", "lng": "-74.0060", "address": "New York, NY"}

All column values must be JSON-stringified when passed to mutations.

URL Patterns

Build direct links for users:

  • Board: https://{account}.monday.com/boards/{board_id}
  • Item: https://{account}.monday.com/boards/{board_id}/pulses/{item_id}
  • Dashboard: https://{account}.monday.com/dashboards/{dashboard_id}

Get the account slug from: { me { account { slug } } }

Rate Limits

LimitFreeStandardProEnterprise
Per minute1,0001,0002,5005,000
Daily calls2001,00010,00025,000
Concurrency4040100250
Complexity/query5,000,0005,000,0005,000,0005,000,000
Complexity/min10,000,00010,000,00010,000,00010,000,000
IP limit5,000 per 10s5,000 per 10s5,000 per 10s5,000 per 10s

When rate-limited (HTTP 429): read the Retry-After header and wait that many seconds. Rate-limited requests count as only 0.1 toward the daily limit.

Always include complexity { before after query } in queries to monitor budget.

Error Handling

monday.com returns errors in two ways:

  • HTTP 200 with errors array — application-level errors (invalid query, missing permissions)
  • HTTP 4xx/5xx — transport-level errors (rate limit, auth failure, server error)

Common error codes:

  • InvalidColumnIdException — column ID doesn't exist on the board
  • InvalidBoardIdException — board doesn't exist or no access
  • ItemsLimitationException — board reached item limit
  • CorrectedValueException — value was auto-corrected (check corrected_value)
  • ColumnValueException — invalid format for column type
  • UserUnauthorizedException — token doesn't have required permissions
  • ComplexityException — query too expensive, simplify or paginate
  • ResourceNotFoundException — ID doesn't exist

monday.com AI Features

  • AI Blocks — modular AI in columns and automations: Categorize, Summarize, Translate, Extract Info, Detect Sentiment, Improve Text, Write with AI, Custom Prompt. Available on Pro+ (500 free credits/month)
  • monday Sidekick — conversational AI assistant for cross-board analysis, report generation, content drafting, task creation
  • monday AI Agents — autonomous workers: Lead Agent (qualifies prospects), SDR Agent (outreach calls, SMS, meeting booking)
  • monday Vibe — AI no-code app builder, turns natural language into custom apps

Use Cases

ScenarioWhat to Do
"Create a project board"Create board → add groups (phases/sprints) → add columns → report board URL
"Add tasks to my board"Get board schema → create items with proper column values → return item URLs
"What's the status of project X?"Query board items → summarize by status/group → highlight blockers
"Move done items to archive"Search by status "Done" → move each to archive group
"Set up a sprint"Create group → create items → assign people → set dates → return board link
"Track a bug"Create item in dev board → set priority/status → assign → add description as update
"Create a CRM pipeline"Create board with deal stages as groups → add contact/value/date columns
"Generate a weekly report"Query multiple boards → aggregate by status → format as summary with metrics
"Automate status notifications"Create webhook for status changes → explain how to connect to Slack/email
"What changed this week?"Query activity logs → summarize by user/event type → highlight key changes
"Upload a spec to a task"Upload file to item's files column via multipart POST → return file URL

Security & Legal Guidelines

Data handling:

  • Never log or store API tokens in conversation history, memory files, or updates
  • When displaying board data, respect that it may contain confidential business information
  • Don't share board data across different users' sessions or conversations
  • monday.com customer data is never used to train AI models

Permissions:

  • Personal API tokens inherit the user's UI permissions — if they can't see a board in the UI, the API won't return it
  • Always verify board access before performing operations
  • Don't delete items, boards, or groups without explicit user confirmation
  • For destructive operations (delete, archive), always ask first and explain what will happen

Rate limiting etiquette:

  • Space out bulk operations (add 100ms delay between mutations)
  • Use change_multiple_column_values instead of multiple single-column updates
  • Cache board schemas and user IDs — don't re-query every turn
  • If rate-limited, wait the full Retry-After duration before retrying

Compliance:

  • Don't create automations that send external emails/notifications without user awareness
  • Don't modify workspace-level settings without explicit permission
  • When creating webhooks, inform the user and document the endpoint
  • Respect workspace data isolation — don't query across workspaces unless asked

Links

  • Developer docs: https://developer.monday.com
  • API reference: https://developer.monday.com/api-reference
  • MCP server: https://github.com/mondaycom/mcp
  • Apps marketplace: https://monday.com/marketplace
  • Status page: https://status.monday.com

平台分布

OpenClaw

79.43%
按下载量换算2,958

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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