Shopify
asgeirtj/system_prompts_leaks
Set up and operate a Shopify store with Shopify's official MCP server (the installed shopify command, NOT the npm Shopify CLI).
Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback).
$ npx skills add LeoYeAI/openclaw-master-skills --skill monday -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills monday --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monday-com .claude/skills/monday && rm -rf skills-srcUse ~/.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/
Install the "monday" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/monday-com into .claude/skills/monday/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monday", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/monday-comType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill monday -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills monday --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/monday-com .agents/skills/monday && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "monday" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/monday-com into .agents/skills/monday/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monday", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill monday -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills monday --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/monday-com .cursor/skills/monday && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "monday" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/monday-com into .cursor/skills/monday/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monday", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/monday-com--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill monday -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills monday --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/monday-com .gemini/skills/monday && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "monday" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/monday-com into .gemini/skills/monday/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monday", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills mondayInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill monday -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/monday-com .github/skills/monday && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "monday" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/monday-com into .github/skills/monday/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monday", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill monday -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills monday --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/monday-com .opencode/skills/monday && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "monday" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/monday-com into .opencode/skills/monday/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monday", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mondayManage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback).
Monday is an agent skill from LeoYeAI/openclaw-master-skills. 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.
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `_meta.json` and `references/graphql-examples.md`).
It sits in Backend & APIs, covering GraphQL, MCP servers and Workflow automation. It works with Model Context Protocol and GraphQL. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.monday.comauth.monday.commcp.monday.comAlso links to:
developer.monday.comgithub.commonday.comstatus.monday.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
MONDAY_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Monday loads about 4.3k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 2,052 words of instructions outside code blocks.
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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,052 words, ~4,289 tokens.
.claude/skills/monday/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Manage everything on monday.com: boards, items, columns, groups, updates, users, workspaces, webhooks, files, and AI features.
Navigate to https://auth.monday.com/users/sign_up_new?custom_flow=agent_bot
Solve Hatcha — an agent-verification challenge. Types you may see:
You have ~30 seconds. Submit your answer and click Verify.
Enter your email and select who it belongs to (you or your operator). Click Submit.
Set your agent name and password. Password rules:
Click Complete signup →
You'll land on the Agent Homepage — "Welcome to Monday for agents." This page has everything you need:
openclaw config set or your platform's secrets manager)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>"
}
}
}
}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:
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.
| Tool | What It Does | When to Use |
|---|---|---|
create_board | Creates 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_schema | Returns board columns, groups, and structure | Before creating/updating items — always call this first to know column IDs and types |
create_group | Creates a new group on a board | Setting up phases, sprints, stages, or categories on a board |
create_column | Adds 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_item | Creates a new item (row) on a board with column values | Adding tasks, tickets, deals, contacts, or any new entry |
delete_item | Deletes an item by ID | User explicitly asks to remove an item (always confirm first) |
change_item_column_values | Updates one or more column values on an existing item | Changing status, reassigning, updating dates, marking complete |
move_item_to_group | Moves an item from one group to another | Progressing items through stages (e.g., "To Do" → "In Progress" → "Done") |
get_board_items_by_name | Searches for items on a board by name | Finding a specific task, deal, or ticket by its title |
create_update | Adds a comment/update to an item | Posting progress notes, status updates, handoff notes, or feedback |
get_board_schema to learn the board's columns and groups before writing datacreate_item / change_item_column_values for CRUD — the MCP server formats column values correctlycreate_update to leave a trail of context on items--enable-dynamic-api-tools true to args for full GraphQL schema exploration via MCPhttps://mcp.monday.com/sse for OAuth-based access without a local tokenBe proactive and useful:
https://<account>.monday.com/boards/{board_id}/pulses/{item_id}Memory & caching (platform-specific):
These patterns apply to agents with persistent memory (e.g. OpenClaw workspace). Adapt to your platform's memory model.
Use the GraphQL API directly when MCP tools don't cover the operation (webhooks, file uploads, subitems, pagination, user/workspace queries, activity logs).
https://api.monday.com/v2 (POST, JSON body with query field)https://api.monday.com/v2/file (multipart POST, max 500MB)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.
All operations use POST to the API endpoint with a query field. Key operations:
| Operation | Mutation/Query | Key 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 board | create_board(board_name, board_kind, workspace_id) | Kinds: public, private, share |
| Create item | create_item(board_id, group_id, item_name, column_values) | column_values = JSON string |
| Update columns | change_multiple_column_values(board_id, item_id, column_values) | Prefer over single-column updates |
| Create group | create_group(board_id, group_name, group_color) | — |
| Add comment | create_update(item_id, body) | Supports HTML |
| Create subitem | create_subitem(parent_item_id, item_name) | Returns subitem board ID |
| Move item | move_item_to_group(item_id, group_id) | — |
| Delete item | delete_item(item_id) | Always confirm first |
| Search by column | items_page_by_column_values(board_id, columns) | Column ID + value filter |
| Activity logs | boards(ids) { activity_logs(limit, from, to) } | Events: update_column_value, create_pulse, etc. |
| Create webhook | create_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 } } | — |
Use cursor-based pagination for large datasets:
items_page(limit: 200) — returns a cursornext_items_page(limit: 200, cursor: "CURSOR_VALUE")Recommended page size: 200. Max: 500. Cursors expire after 60 minutes.
When setting column values, use these JSON formats:
| Column Type | JSON 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 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.
Build direct links for users:
https://{account}.monday.com/boards/{board_id}https://{account}.monday.com/boards/{board_id}/pulses/{item_id}https://{account}.monday.com/dashboards/{dashboard_id}Get the account slug from: { me { account { slug } } }
| Limit | Free | Standard | Pro | Enterprise |
|---|---|---|---|---|
| Per minute | 1,000 | 1,000 | 2,500 | 5,000 |
| Daily calls | 200 | 1,000 | 10,000 | 25,000 |
| Concurrency | 40 | 40 | 100 | 250 |
| Complexity/query | 5,000,000 | 5,000,000 | 5,000,000 | 5,000,000 |
| Complexity/min | 10,000,000 | 10,000,000 | 10,000,000 | 10,000,000 |
| IP limit | 5,000 per 10s | 5,000 per 10s | 5,000 per 10s | 5,000 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.
monday.com returns errors in two ways:
errors array — application-level errors (invalid query, missing permissions)Common error codes:
InvalidColumnIdException — column ID doesn't exist on the boardInvalidBoardIdException — board doesn't exist or no accessItemsLimitationException — board reached item limitCorrectedValueException — value was auto-corrected (check corrected_value)ColumnValueException — invalid format for column typeUserUnauthorizedException — token doesn't have required permissionsComplexityException — query too expensive, simplify or paginateResourceNotFoundException — ID doesn't exist| Scenario | What 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 |
Data handling:
Permissions:
Rate limiting etiquette:
change_multiple_column_values instead of multiple single-column updatesRetry-After duration before retryingCompliance:
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/monday-com of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Monday this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Shopifyasgeirtj/system_prompts_leaks | 69k | — | ~2k | Automated safety check: Pass | CC0-1.0 | |
| QA Find Bugs MCPbex-co/beancount-io | 296 | — | ~3k | Automated safety check: Pass | MIT | |
| Shopify AI Toolkit Wrapperjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Build Error AdapterArcadeAI/arcade-mcp | 1k | — | ~2k | Automated safety check: Pass | MIT | |
| SpikardGoldziher/spikard | 123 | — | ~799 | Automated safety check: Pass | MIT |
asgeirtj/system_prompts_leaks
Set up and operate a Shopify store with Shopify's official MCP server (the installed shopify command, NOT the npm Shopify CLI).
bex-co/beancount-io
Hunt bugs in the Beancount.io remote MCP server by driving the real POST /api-gateway/mcp endpoint with JSON-RPC and real MCP clients, checking transport, discovery, credential boundaries, tool and…
jeremylongshore/tons-of-skills-marketplace
Integrate Shopify's AI Toolkit MCP server with Claude Code for GraphQL validation, Liquid linting, and documentation search.
ArcadeAI/arcade-mcp
Build new Arcade error adapters from scratch using public Arcade TDK patterns.
Goldziher/spikard
Scaffold Spikard projects and generate code from OpenAPI, AsyncAPI, OpenRPC, GraphQL, and Protobuf schemas using the Spikard CLI or its MCP server.
holon-run/uxc
Use The Graph Subgraph MCP through UXC via native SSE with a fixed linked command for subgraph discovery, schema retrieval, deployment selection, and GraphQL query execution with help-first…
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Works with
Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback). Monday is an agent skill from LeoYeAI/openclaw-master-skills.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback).
Monday fits situations like: A user asks to create tasks; update statuses; manage projects; automate workflows.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill monday -a claude-code`. Or copy the skill folder (skills/monday-com in LeoYeAI/openclaw-master-skills) into .claude/skills/monday in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill monday -a codex`. Or copy the skill folder (skills/monday-com in LeoYeAI/openclaw-master-skills) into .agents/skills/monday in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --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.
Going by SKILL.md and its folder, Monday needs credentials named MONDAY_API_TOKEN. Our summary lists: A credential in MONDAY_API_TOKEN.
SKILL.md names 7 domains. In commands or code: api.monday.com, auth.monday.com and mcp.monday.com; the agent is likely to contact these when it follows the instructions. As links in the text: developer.monday.com, github.com, monday.com and status.monday.com. This is read from the text; nothing was executed.
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.
Monday is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Monday: Shopify (asgeirtj/system_prompts_leaks, 69k stars), QA Find Bugs MCP (bex-co/beancount-io, 296 stars), Shopify AI Toolkit Wrapper (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Build Error Adapter (ArcadeAI/arcade-mcp, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.