Binggo MCP
luovicter-collab/bilibinggo
Operates the local Binggo (bilibinggo) Bilibili lottery helper console strictly through binggo MCP tools.
Control SidecarOneStep - A macOS Sidecar enhancement tool. An agent skill from LeoYeAI/openclaw-master-skills.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sidecar-onestep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sidecar-onestep --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/sidecar-onestep .claude/skills/sidecar-onestep && 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 "sidecar-onestep" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sidecar-onestep into .claude/skills/sidecar-onestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sidecar-onestep", 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/sidecar-onestepType 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 sidecar-onestep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sidecar-onestep --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/sidecar-onestep .agents/skills/sidecar-onestep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sidecar-onestep" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sidecar-onestep into .agents/skills/sidecar-onestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sidecar-onestep", 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 sidecar-onestep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sidecar-onestep --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/sidecar-onestep .cursor/skills/sidecar-onestep && 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 "sidecar-onestep" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sidecar-onestep into .cursor/skills/sidecar-onestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sidecar-onestep", 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/sidecar-onestep--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 sidecar-onestep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sidecar-onestep --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/sidecar-onestep .gemini/skills/sidecar-onestep && 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 "sidecar-onestep" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sidecar-onestep into .gemini/skills/sidecar-onestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sidecar-onestep", 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 sidecar-onestepInstalls 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 sidecar-onestep -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/sidecar-onestep .github/skills/sidecar-onestep && 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 "sidecar-onestep" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sidecar-onestep into .github/skills/sidecar-onestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sidecar-onestep", 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 sidecar-onestep -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 sidecar-onestep --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/sidecar-onestep .opencode/skills/sidecar-onestep && 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 "sidecar-onestep" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sidecar-onestep into .opencode/skills/sidecar-onestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sidecar-onestep", 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.
sidecar-onestepControl SidecarOneStep - A macOS Sidecar enhancement tool. An agent skill from LeoYeAI/openclaw-master-skills.
Sidecar Onestep is an agent skill from LeoYeAI/openclaw-master-skills. Control SidecarOneStep - A macOS Sidecar enhancement tool. One-click iPad connection, remote control, automation integration. Manage devices via MCP integration with 15 powerful tools.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `PUBLISH.md`, `README.md` and `_meta.json`).
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol and macOS. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
6 steps, taken from the step headings 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.
Ships script files (Shell), which the agent can run.
Shell commands in SKILL.md call:
curlFrom 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:
github.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.
Sidecar Onestep loads about 3.6k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 861 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). 861 words, ~3,560 tokens.
.claude/skills/sidecar-onestep/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.<a name="english"></a>
SidecarOneStep is a powerful macOS Sidecar enhancement tool that makes managing iPad connections effortless. Through MCP (Model Context Protocol) integration, AI assistants like Claude, Cursor, and OpenClaw can directly control your Sidecar connections.
| Platform | Version | Notes |
|---|---|---|
| macOS | 12.0+ (Monterey) | Required for Sidecar API |
| iPadOS | 13.0+ | Required for Sidecar support |
| Hardware | 2018+ iPad models | iPad Pro, iPad Air 3rd gen+, iPad 6th gen+, iPad mini 5th gen+ |
| Tools | mcporter CLI | For MCP integration |
⚠️ Prerequisites: Both Mac and iPad must be signed into the same iCloud account with 2FA enabled.
Download the latest version from GitHub Releases:
https://github.com/yi-nology/sidecarOneStep/releases/latestOr direct download:
curl -L -o SidecarOneStep.dmg https://github.com/yi-nology/sidecarOneStep/releases/download/v1.3.9/SidecarOneStep_Installer.dmg
hdiutil attach SidecarOneStep.dmg
cp -R /Volumes/SidecarOneStep\ Installer/SidecarOneStep.app /Applications/# Add SidecarOneStep to mcporter
mcporter config add sidecar-onestep \
--command /Applications/SidecarOneStep.app/Contents/MacOS/SidecarOneStep \
--args mcp
# Verify configuration
mcporter list sidecar-onestepExpected output:
sidecar-onestep — macOS Sidecar 增强工具 (10 tools)Before using this skill, ensure:
/Applications/mcporter configured: mcporter list sidecar-onestep should show the servermcporter call sidecar-onestep.list_devicesResponse:
["张易的iPad Pro", "iPad Air"]# Async connection (non-blocking, recommended)
mcporter call sidecar-onestep.connect_device_async device_name="张易的iPad Pro" wired=true
# Response:
{
"id": "job_12345",
"status": "success",
"result": "张易的iPad Pro",
"wired": true
}mcporter call sidecar-onestep.disconnect_device device_name="张易的iPad Pro"mcporter call sidecar-onestep.get_statusResponse:
{
"active_device": "张易的iPad Pro",
"active_wired": true,
"server_running": true,
"server_port": 8765
}| Tool | Description | Blocking |
|---|---|---|
list_devices | List available Sidecar devices | ❌ |
connect_device | Connect device (synchronous) | ⚠️ Yes |
connect_device_async | Connect device (async) | ❌ Recommended |
get_job_status | Query async job status | ❌ |
cancel_job | Cancel pending job | ❌ |
disconnect_device | Disconnect device | ❌ |
start_http_server | Start HTTP control server | ❌ |
stop_http_server | Stop HTTP server | ❌ |
get_status | Get app/connection status | ❌ |
get_logs | Get recent server logs | ❌ |
virtual_display_status | Get virtual display status | ❌ |
list_virtual_display_sizes | List available virtual display sizes | ❌ |
set_virtual_display_size | Set virtual display size | ❌ |
enable_virtual_display | Enable virtual display | ❌ |
disable_virtual_display | Disable virtual display | ❌ |
When a user says any of the following, this skill should be activated:
Example 1: Connect iPad
User: "Connect my iPad"
User: "用有线模式连我的 iPad"→ AI calls: connect_device_async device_name="<device_name>" wired=true
Example 2: Check Status
User: "Is my iPad connected?"
User: "看看 Sidecar 状态"→ AI calls: get_status
Example 3: Disconnect
User: "Disconnect iPad"
User: "断开 iPad 连接"→ AI calls: disconnect_device device_name="<device_name>"
Example 4: Web Console
User: "Start the Sidecar web console"
User: "打开 Sidecar 远程控制台"→ AI calls: start_http_server port=8765
Example 5: List Devices
User: "Show me available Sidecar devices"
User: "列出可用的 iPad"→ AI calls: list_devices
# 1. Connect iPad (async, non-blocking)
mcporter call sidecar-onestep.connect_device_async device_name="iPad Pro" wired=true
# 2. Start web console
mcporter call sidecar-onestep.start_http_server port=8765
# 3. Check status
mcporter call sidecar-onestep.get_status# Wireless connection for mobility
mcporter call sidecar-onestep.connect_device_async device_name="iPad Air" wired=false# Use in scripts, Shortcuts, Raycast, Alfred, etc.
mcporter call sidecar-onestep.connect_device_async device_name="iPad Pro" wired=trueSidecarOneStep works seamlessly with AI assistants:
Natural Language Commands:
list_devicesconnect_device_asyncconnect_device_async wired=truedisconnect_devicestart_http_serverget_statusSolution:
Note: In stdio MCP mode, each call creates a new process. Use connect_device_async which now returns the complete status immediately, no need to call get_job_status.
Solution:
ls /Applications/SidecarOneStep.appmcporter list sidecar-onestepmcporter daemon restartMIT License - Free to use
<a name="中文"></a>
SidecarOneStep(随航一步) 是一款强大的 macOS Sidecar 增强工具,让 iPad 连接管理变得轻松简单。通过 MCP(模型上下文协议)集成,Claude、Cursor、OpenClaw 等 AI 助手可以直接控制你的 Sidecar 连接。
| 平台 | 版本 | 说明 |
|---|---|---|
| macOS | 12.0+ (Monterey) | Sidecar API 必需 |
| iPadOS | 13.0+ | Sidecar 支持必需 |
| 硬件 | 2018+ iPad 机型 | iPad Pro、iPad Air 第3代+、iPad 第6代+、iPad mini 第5代+ |
| 工具 | mcporter CLI | 用于 MCP 集成 |
⚠️ 前置条件:Mac 和 iPad 必须登录同一 iCloud 账户并启用双重认证。
从 GitHub Releases 下载最新版本:
https://github.com/yi-nology/sidecarOneStep/releases/latest或直接下载:
curl -L -o SidecarOneStep.dmg https://github.com/yi-nology/sidecarOneStep/releases/download/v1.3.9/SidecarOneStep_Installer.dmg
hdiutil attach SidecarOneStep.dmg
cp -R /Volumes/SidecarOneStep\ Installer/SidecarOneStep.app /Applications/# 将 SidecarOneStep 添加到 mcporter
mcporter config add sidecar-onestep \
--command /Applications/SidecarOneStep.app/Contents/MacOS/SidecarOneStep \
--args mcp
# 验证配置
mcporter list sidecar-onestep预期输出:
sidecar-onestep — macOS Sidecar 增强工具 (10 tools)使用此技能前,请确认:
/Applications/mcporter 已配置:mcporter list sidecar-onestep 应显示该服务器mcporter call sidecar-onestep.list_devices响应:
["张易的iPad Pro", "iPad Air"]# 异步连接(不阻塞,推荐)
mcporter call sidecar-onestep.connect_device_async device_name="张易的iPad Pro" wired=true
# 响应:
{
"id": "job_12345",
"status": "success",
"result": "张易的iPad Pro",
"wired": true
}mcporter call sidecar-onestep.disconnect_device device_name="张易的iPad Pro"mcporter call sidecar-onestep.get_status响应:
{
"active_device": "张易的iPad Pro",
"active_wired": true,
"server_running": true,
"server_port": 8765
}| 工具 | 说明 | 阻塞 |
|---|---|---|
list_devices | 列出可用 Sidecar 设备 | ❌ |
connect_device | 连接设备(同步) | ⚠️ 是 |
connect_device_async | 连接设备(异步) | ❌ 推荐 |
get_job_status | 查询异步任务状态 | ❌ |
cancel_job | 取消待处理任务 | ❌ |
disconnect_device | 断开设备 | ❌ |
start_http_server | 启动 HTTP 控制服务器 | ❌ |
stop_http_server | 停止 HTTP 服务器 | ❌ |
get_status | 获取应用/连接状态 | ❌ |
get_logs | 获取最近服务器日志 | ❌ |
virtual_display_status | 获取虚拟显示器状态 | ❌ |
list_virtual_display_sizes | 列出可用虚拟显示器尺寸 | ❌ |
set_virtual_display_size | 设置虚拟显示器尺寸 | ❌ |
enable_virtual_display | 启用虚拟显示器 | ❌ |
disable_virtual_display | 禁用虚拟显示器 | ❌ |
当用户说以下内容时,应激活此技能:
示例 1:连接 iPad
用户:"Connect my iPad"
用户:"用有线模式连我的 iPad"→ AI 调用:connect_device_async device_name="<设备名>" wired=true
示例 2:检查状态
用户:"Is my iPad connected?"
用户:"看看 Sidecar 状态"→ AI 调用:get_status
示例 3:断开连接
用户:"Disconnect iPad"
用户:"断开 iPad 连接"→ AI 调用:disconnect_device device_name="<设备名>"
示例 4:Web 控制台
用户:"Start the Sidecar web console"
用户:"打开 Sidecar 远程控制台"→ AI 调用:start_http_server port=8765
示例 5:列出设备
用户:"Show me available Sidecar devices"
用户:"列出可用的 iPad"→ AI 调用:list_devices
示例 6:虚拟显示器
用户:"Enable virtual display"
用户:"开启虚拟显示器"→ AI 调用:enable_virtual_display
示例 7:设置虚拟显示器尺寸
用户:"Set virtual display to iPad Pro 13 size"
用户:"设置虚拟显示器为 iPad Pro 13 尺寸"→ AI 调用:set_virtual_display_size definition_id=440
# 1. 连接 iPad(异步,不阻塞)
mcporter call sidecar-onestep.connect_device_async device_name="iPad Pro" wired=true
# 2. 启动 Web 控制台
mcporter call sidecar-onestep.start_http_server port=8765
# 3. 查看状态
mcporter call sidecar-onestep.get_status# 无线连接,方便移动
mcporter call sidecar-onestep.connect_device_async device_name="iPad Air" wired=false# 在脚本、快捷指令、Raycast、Alfred 等中使用
mcporter call sidecar-onestep.connect_device_async device_name="iPad Pro" wired=true# 1. 查看可用尺寸
mcporter call sidecar-onestep.list_virtual_display_sizes
# 2. 设置尺寸(可选,默认 16:9)
mcporter call sidecar-onestep.set_virtual_display_size definition_id=440
# 3. 启用虚拟显示器
mcporter call sidecar-onestep.enable_virtual_display
# 4. 查看状态
mcporter call sidecar-onestep.virtual_display_status
# 5. 禁用虚拟显示器
mcporter call sidecar-onestep.disable_virtual_displaySidecarOneStep 与 AI 助手无缝协作:
自然语言命令:
list_devicesconnect_device_asyncconnect_device_async wired=truedisconnect_devicestart_http_serverget_statusenable_virtual_displaydisable_virtual_displayset_virtual_display_sizevirtual_display_status解决方案:
说明: stdio MCP 模式下,每次调用都会创建新进程。connect_device_async 现在会立即返回完整状态,无需调用 get_job_status。
解决方案:
ls /Applications/SidecarOneStep.appmcporter list sidecar-onestepmcporter daemon restartMIT License - 免费使用
Created by MurphyYi Skill package by Wednesday (OpenClaw)
If you find this tool helpful, please ⭐️ star the GitHub repository!
© 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 7 other files in skills/sidecar-onestep of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Sidecar Onestep 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 |
|---|---|---|---|---|---|---|
| Sidecar Onestep this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Binggo MCPluovicter-collab/bilibinggo | 388 | — | ~1.2k | Automated safety check: Pass | Proprietary | |
| Cortex Mem MCPsopaco/cortex-mem | 313 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Mps Project ManagementJetBrains/MPS | 1.7k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Premiere Pro MCPhetpatel-11/Adobe_Premiere_Pro_MCP | 669 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Gearcoleco Romhackingdrhelius/Gearcoleco | 142 | — | ~3.9k | Automated safety check: Pass | GPL-3.0 |
luovicter-collab/bilibinggo
Operates the local Binggo (bilibinggo) Bilibili lottery helper console strictly through binggo MCP tools.
sopaco/cortex-mem
Persistent memory enhancement for AI agents. An agent skill from sopaco/cortex-mem.
JetBrains/MPS
Open an MPS project in a running or freshly started MPS instance when MCP tools fail because no project is open (welcome screen), close an open project with mpsmcpcloseproject, or create a new empty…
hetpatel-11/Adobe_Premiere_Pro_MCP
Install, verify, troubleshoot, and operate the Adobe Premiere Pro MCP server.
drhelius/Gearcoleco
Hack, modify, and translate ColecoVision and Super Game Module ROMs using the Gearcoleco emulator MCP server.
leeguooooo/iphone-use
A skill your agent uses when a task needs a real iPhone — operating iOS apps that have no API (Apple Health, banking, IM apps), exporting on-phone data, tapping/typing/scrolling on the phone, or…
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
Control SidecarOneStep - A macOS Sidecar enhancement tool. An agent skill from LeoYeAI/openclaw-master-skills. Sidecar Onestep is an agent skill from LeoYeAI/openclaw-master-skills. Control SidecarOneStep - A macOS Sidecar enhancement tool.
Sidecar Onestep fits situations like: tasks that involve MCP servers.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill sidecar-onestep -a claude-code`. Or copy the skill folder (skills/sidecar-onestep in LeoYeAI/openclaw-master-skills) into .claude/skills/sidecar-onestep in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill sidecar-onestep -a codex`. Or copy the skill folder (skills/sidecar-onestep in LeoYeAI/openclaw-master-skills) into .agents/skills/sidecar-onestep 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 sidecar-onestep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sidecar-onestep, .gemini/skills/sidecar-onestep, .github/skills/sidecar-onestep and .opencode/skills/sidecar-onestep in your project.
Going by SKILL.md and its folder, Sidecar Onestep needs a shell for the scripts in its folder and the command-line tools its instructions call (curl). Our summary lists: A Bash shell.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. 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.
Sidecar Onestep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k 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 Sidecar Onestep: Binggo MCP (luovicter-collab/bilibinggo, 388 stars), Cortex Mem MCP (sopaco/cortex-mem, 313 stars), Mps Project Management (JetBrains/MPS, 1.7k stars) and Premiere Pro MCP (hetpatel-11/Adobe_Premiere_Pro_MCP, 669 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.