Read and write monday.com: list boards, read items, create items.

MITAuto-check passed

Install Monday

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill monday -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors monday --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/monday .claude/skills/monday && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
monday
GitHub stars
1.3k
Token cost
~498 tokens
SKILL.md length
178 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Read and write monday.com: list boards, read items, create items.

  • Works in 4 steps: create-item is a write: confirm the… → Reading (boards, items) needs no… → monday.com enforces a complexity budget… → …
  • Phrases: monday
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Monday is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write monday.com: list boards, read items, create items. Trigger phrases: monday, monday.com board.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/monday.py`).

The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: monday
  • Monday.com board

Example prompts

  • “/monday”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. create-item is a write: confirm the board and item name with the user before creating, unless standing permission exists.
  2. Reading (boards, items) needs no confirmation.
  3. monday.com enforces a complexity budget per minute; keep limits modest and back off on ComplexityException errors.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/monday.py). Do not print, log, or transmit the token value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Monday loads about 498 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 178 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~498

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 178 words, ~498 tokens.

Download SKILL.mdSave it as .claude/skills/monday/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
monday
description
Read and write monday.com: list boards, read items, create items. Trigger phrases: monday, monday.com board.
metadata.includeInPrompt
true
tagline
List boards, read items, create items. Project management over GraphQL.
catalog_auth
personal API token (per-user)
catalog_hosts
api.monday.com

Monday

Purpose

Read and write the user's monday.com workspace: list boards, read items on a board, create items. Use when the user mentions monday.com or a Monday board.

Tooling

All commands go through bin/monday.py:

bash
bin/monday.py auth                                      # verify the token
bin/monday.py boards --limit 25                         # list boards
bin/monday.py items --board BOARD_ID --limit 25          # list items on a board
bin/monday.py create-item --board BOARD_ID --name "Task"  # create an item

monday.com's API is GraphQL over a single endpoint; board arguments take board IDs. Use boards to resolve names first.

Auth

  • Provider id: monday (credential is collected as custom.monday)
  • Collection: personal API token via the secure credential flow (credentials.request_api_access); created in monday.com under Administration > Connections > Personal API token (or avatar > Developers)
  • Allowed hosts: api.monday.com
  • Status check: bin/monday.py auth (must return "ok": true)

Operating Rules

  1. create-item is a write: confirm the board and item name with the user before creating, unless standing permission exists.
  2. Reading (boards, items) needs no confirmation.
  3. monday.com enforces a complexity budget per minute; keep limits modest and back off on ComplexityException errors.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/monday.py). Do not print, log, or transmit the token value.

Files

  • SKILL.md
  • bin/monday.py

Maturity

🧪 Draft: written from monday.com's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/monday of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/monday.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Monday next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Monday compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Monday this skillAnil-matcha/awesome-muse-connectors1.3k—~498Automated safety check: PassMIT
Boardalirezarezvani/claude-skills28k—~610Automated safety check: PassMIT
MondayLeoYeAI/openclaw-master-skills2.2k—~4.3kAutomated safety check: PassMIT
Paperclip Boardpaperclipai/paperclip99k—~5.3kAutomated safety check: PassMIT
Board Governancesickn33/agentic-awesome-skills47k1 repos~4.1kAutomated safety check: PassMIT
Announcement Boardsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT

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Questions about Monday

What does Monday do?

Read and write monday.com: list boards, read items, create items. Monday is an agent skill from Anil-matcha/awesome-muse-connectors.com: list boards, read items, create items.

When should I use Monday?

Monday fits situations like: phrases: monday; monday.com board.

How do I install Monday in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill monday -a claude-code`. Or copy the skill folder (connectors/monday in Anil-matcha/awesome-muse-connectors) into .claude/skills/monday in your project. Claude Code loads it when a task matches its description.

How do I install Monday in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill monday -a codex`. Or copy the skill folder (connectors/monday in Anil-matcha/awesome-muse-connectors) into .agents/skills/monday in your project. Codex loads it when a task matches its description.

Can I use Monday in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill monday -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/monday, .gemini/skills/monday, .github/skills/monday and .opencode/skills/monday in your project.

What does Monday need to run?

Going by SKILL.md and its folder, Monday needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Monday access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Monday safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Monday use?

Monday is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Monday use?

About 498 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Monday?

Skills that share tags, products or a category with Monday: Board (alirezarezvani/claude-skills, 28k stars), Monday (LeoYeAI/openclaw-master-skills, 2.2k stars), Paperclip Board (paperclipai/paperclip, 99k stars) and Board Governance (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Monday?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.