MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Agent onboarding for Orderly Network - omnichain perpetual futures infrastructure, MCP server, skills, and developer quickstart
$ npx skills add LeoYeAI/openclaw-master-skills --skill orderly-onboarding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills orderly-onboarding --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/orderly-onboarding .claude/skills/orderly-onboarding && 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 "orderly-onboarding" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/orderly-onboarding into .claude/skills/orderly-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orderly-onboarding", 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/orderly-onboardingType 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 orderly-onboarding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills orderly-onboarding --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/orderly-onboarding .agents/skills/orderly-onboarding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "orderly-onboarding" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/orderly-onboarding into .agents/skills/orderly-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orderly-onboarding", 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 orderly-onboarding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills orderly-onboarding --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/orderly-onboarding .cursor/skills/orderly-onboarding && 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 "orderly-onboarding" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/orderly-onboarding into .cursor/skills/orderly-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orderly-onboarding", 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/orderly-onboarding--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 orderly-onboarding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills orderly-onboarding --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/orderly-onboarding .gemini/skills/orderly-onboarding && 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 "orderly-onboarding" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/orderly-onboarding into .gemini/skills/orderly-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orderly-onboarding", 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 orderly-onboardingInstalls 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 orderly-onboarding -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/orderly-onboarding .github/skills/orderly-onboarding && 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 "orderly-onboarding" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/orderly-onboarding into .github/skills/orderly-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orderly-onboarding", 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 orderly-onboarding -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 orderly-onboarding --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/orderly-onboarding .opencode/skills/orderly-onboarding && 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 "orderly-onboarding" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/orderly-onboarding into .opencode/skills/orderly-onboarding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "orderly-onboarding", 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.
orderly-onboardingAgent onboarding for Orderly Network - omnichain perpetual futures infrastructure, MCP server, skills, and developer quickstart
Orderly Onboarding is an agent skill from LeoYeAI/openclaw-master-skills. Agent onboarding for Orderly Network - omnichain perpetual futures infrastructure, MCP server, skills, and developer quickstart
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).
It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
4 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.
Shell commands in SKILL.md call:
npxnpmFrom 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.orderly.orgtestnet-api.orderly.orgtestnet-operator-evm.orderly.orgopencode.aiAlso links to:
orderly.networkgithub.comnpmjs.comskills.shdiscord.ggtwitter.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Orderly Onboarding loads about 4.3k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 1,376 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). 1,376 words, ~4,264 tokens.
.claude/skills/orderly-onboarding/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Orderly is an omnichain orderbook-based trading infrastructure providing perpetual futures liquidity for decentralized exchanges. This skill is your starting point for building on or learning about Orderly Network.
Orderly is a combination of an orderbook-based trading infrastructure and a robust liquidity layer offering perpetual futures orderbooks. Unlike traditional platforms, Orderly doesn't have a front end—it operates at the core of the ecosystem, providing essential services to projects built on top.
Key Characteristics:
Primary Use Cases:
| Use Case | Description |
|---|---|
| Builders/DEXes | Create your own Perps DEX on EVM and Solana with plug-and-play SDKs |
| Perps Aggregators | Access Orderly's shared liquidity directly via API or SDK |
| Trading Desks | Use APIs for CEX-level trading with low latency orderbook |
| Trading Bots | Connect to orderbook for best rates, SL/limit orders, gasless transactions |
Your Application (DEX, Bot, Wallet, Aggregator)
To build on Orderly, install the MCP server for the best development experience. It provides 8 powerful tools for documentation search, SDK patterns, contract addresses, workflows, and API reference.
The MCP server provides AI assistants with instant access to Orderly documentation, code patterns, and API references.
Quick Install:
npx @orderly.network/mcp-server init --client <client>Supported Clients:
| Client | Command | Config File |
|---|---|---|
| Claude Code | --client claude | .mcp.json |
| Cursor | --client cursor | .cursor/mcp.json |
| VS Code | --client vscode | .vscode/mcp.json |
| Codex | --client codex | ~/.codex/config.toml |
| OpenCode | --client opencode | .opencode/mcp.json |
Manual Configuration:
If automatic setup doesn't work, add this configuration to your AI client:
Claude Code (.mcp.json):
{
"mcpServers": {
"orderly": {
"command": "npx",
"args": ["@orderly.network/mcp-server@latest"]
}
}
}Cursor (.cursor/mcp.json):
{
"mcpServers": {
"orderly": {
"command": "npx",
"args": ["@orderly.network/mcp-server@latest"]
}
}
}VS Code (.vscode/mcp.json):
{
"servers": {
"orderly": {
"command": "npx",
"args": ["@orderly.network/mcp-server@latest"]
}
}
}OpenCode (.opencode/mcp.json):
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"orderly": {
"type": "local",
"command": ["npx", "@orderly.network/mcp-server@latest"],
"enabled": true
}
}
}Codex (~/.codex/config.toml):
[mcp_servers.orderly]
command = "npx"
args = ["@orderly.network/mcp-server@latest"]What the MCP Server Provides:
| Tool | Description |
|---|---|
search_orderly_docs | Search Orderly documentation for specific topics |
get_sdk_pattern | Get code examples for SDK v2 hooks and patterns |
get_contract_addresses | Lookup smart contract addresses for any chain |
explain_workflow | Step-by-step guides for common tasks |
get_api_info | REST API and WebSocket endpoint documentation |
get_indexer_api_info | Trading metrics, events, volume statistics |
get_component_guide | React UI component building guides |
get_orderly_one_api_info | DEX creation and management API for Orderly One |
Install Orderly skills to enhance your AI agent with procedural knowledge for building on Orderly.
Install all skills globally (recommended):
npx skills add OrderlyNetwork/skills --all --agent '*' -gInstall all skills locally:
npx skills add OrderlyNetwork/skills --allInstall specific skills:
# List available skills
npx skills add OrderlyNetwork/skills --list
# Install specific skill
npx skills add OrderlyNetwork/skills --skill orderly-trading-orders
# Install multiple skills
npx skills add OrderlyNetwork/skills --skill orderly-api-authentication --skill orderly-trading-orders
# Install for specific agent
npx skills add OrderlyNetwork/skills --all --agent claude-code -gGlobal vs Local:
-g): Available across all projects, installed to user directory.skills/ in repo, can be committed to version controlAvailable Skills:
| Category | Skill | Description |
|---|---|---|
| API / Protocol | orderly-api-authentication | Two-layer auth: EIP-712 (EVM) + Ed25519 (Solana) |
orderly-trading-orders | Place, manage, cancel orders via REST API or SDK | |
orderly-positions-tpsl | Monitor positions, TP/SL, leverage, PnL | |
orderly-websocket-streaming | Real-time WebSocket for orderbook and executions | |
orderly-deposit-withdraw | Token deposits, withdrawals, cross-chain operations | |
| SDK / React | orderly-sdk-react-hooks | Reference for all React SDK hooks |
orderly-ui-components | Pre-built React UI components | |
orderly-sdk-install-dependency | Install Orderly SDK packages | |
orderly-sdk-dex-architecture | Complete DEX project structure and setup | |
orderly-sdk-page-components | Pre-built page components | |
orderly-sdk-theming | CSS variable theming and customization | |
orderly-sdk-trading-workflows | End-to-end trading flows | |
| Platform | orderly-sdk-wallet-connection | Wallet integration for EVM and Solana |
orderly-sdk-debugging | Debug/troubleshoot SDK errors | |
orderly-one-dex | Create/manage custom DEX with Orderly One API |
Build custom trading interfaces using Orderly's React SDK v2.
Core SDK Packages:
# Full DEX setup
npm install @orderly.network/react-app \
@orderly.network/trading \
@orderly.network/portfolio \
@orderly.network/markets \
@orderly.network/wallet-connector \
@orderly.network/i18n
# Required: EVM wallet support
npm install @web3-onboard/injected-wallets @web3-onboard/walletconnect
# Required: Solana wallet support
npm install @solana/wallet-adapter-base @solana/wallet-adapter-walletsKey Components Available:
OrderEntry - Order placement formOrderbook - Market depth displayPositionsView - Position management tableTradingPage - Full trading pagePortfolio - User portfolio dashboardConnectWalletButton - Wallet connection UIOrderly One (White-Label DEX):
Launch your own branded perpetuals DEX without building from scratch. Orderly One provides a turnkey solution with:
Load these skills for SDK development:
Integrate directly with Orderly's REST API and WebSocket streams.
API Base URLs:
| Network | URL |
|---|---|
| Mainnet | https://api.orderly.org |
| Testnet | https://testnet-api.orderly.org |
WebSocket URLs:
| Network | URL |
|---|---|
| Mainnet | wss://ws.orderly.org/ws |
| Testnet | wss://testnet-ws.orderly.org/ws |
Authentication:
Symbol Format:
PERP_<TOKEN>_USDCExamples: PERP_ETH_USDC, PERP_BTC_USDC, PERP_SOL_USDC
Key Endpoints:
POST /v1/order - Place orderGET /v1/positions - Get positionsGET /v1/orders - Get ordersGET /v1/orderbook/{symbol} - Orderbook snapshotGET /v1/public/futures - Market infoLoad these skills for API development:
Orderly supports multiple EVM and non-EVM chains. To get the current list of supported networks with their chain IDs, vault addresses, and RPC endpoints:
GET https://api.orderly.org/v1/public/chain_infoThis endpoint returns all mainnet and testnet chains currently supported by Orderly, including Arbitrum, Optimism, Base, Ethereum, Polygon, Mantle, Solana, Sei, Avalanche, BSC, Abstract, and more.
The $ORDER token is central to the Orderly ecosystem:
Token Contracts:
| Network | Address |
|---|---|
| Ethereum (ERC20) | 0xABD4C63d2616A5201454168269031355f4764337 |
| EVM Chains (OFT) | 0x4E200fE2f3eFb977d5fd9c430A41531FB04d97B8 |
| Solana | ABt79MkRXUsoHuV2CVQT32YMXQhTparKFjmidQxgiQ6E |
For full tokenomics details, visit: https://orderly.network/docs/introduction/tokenomics
| Resource | URL |
|---|---|
| Documentation | https://orderly.network/docs |
| SDK Repository | https://github.com/orderlynetwork/js-sdk |
| Example DEX | https://github.com/orderlynetwork/example-dex |
| MCP Server (npm) | https://www.npmjs.com/package/@orderly.network/mcp-server |
| Skills (npm) | https://www.npmjs.com/package/@orderly.network/skills |
| Skills.sh | https://skills.sh |
| Orderly App | https://app.orderly.network |
| Discord | https://discord.gg/OrderlyNetwork |
| https://twitter.com/OrderlyNetwork |
If you're building a DEX:
npx @orderly.network/mcp-server initIf you're building trading bots or API integrations:
If you're launching a white-label DEX:
npx @orderly.network/mcp-server initIf you're troubleshooting:
For testing:
POST /v1/faucet/usdc (testnet only)Install the MCP server first: npx @orderly.network/mcp-server init --client <your-client>
Then ask: "How do I connect to Orderly Network?" or load orderly-sdk-wallet-connection.
Use both for the best experience.
Use the Testnet environment:
https://testnet-api.orderly.orgwss://testnet-ws.orderly.org/wsPOST https://testnet-operator-evm.orderly.org/v1/faucet/usdcThe SDK handles authentication automatically. For API-only integration, load orderly-api-authentication for the complete auth flow.
© 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 1 other file in skills/orderly-onboarding of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Orderly Onboarding 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 |
|---|---|---|---|---|---|---|
| Orderly Onboarding this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
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
Categories
Agent onboarding for Orderly Network - omnichain perpetual futures infrastructure, MCP server, skills, and developer quickstart. Orderly Onboarding is an agent skill from LeoYeAI/openclaw-master-skills.
Orderly Onboarding fits situations like: agent Workflows work in your project.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill orderly-onboarding -a claude-code`. Or copy the skill folder (skills/orderly-onboarding in LeoYeAI/openclaw-master-skills) into .claude/skills/orderly-onboarding in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill orderly-onboarding -a codex`. Or copy the skill folder (skills/orderly-onboarding in LeoYeAI/openclaw-master-skills) into .agents/skills/orderly-onboarding 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 orderly-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/orderly-onboarding, .gemini/skills/orderly-onboarding, .github/skills/orderly-onboarding and .opencode/skills/orderly-onboarding in your project.
Going by SKILL.md and its folder, Orderly Onboarding needs the command-line tools its instructions call (npx and npm). Our summary lists: Node.js.
SKILL.md names 10 domains. In commands or code: api.orderly.org, testnet-api.orderly.org, testnet-operator-evm.orderly.org and opencode.ai; the agent is likely to contact these when it follows the instructions. As links in the text: orderly.network, github.com, npmjs.com, skills.sh, discord.gg and twitter.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.
Orderly Onboarding 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.
Skills that share tags, products or a category with Orderly Onboarding: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k 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 2,161 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.