Mdm Device Management
sickn33/agentic-awesome-skills
Manage and secure company devices with MDM solutions. An agent skill from sickn33/agentic-awesome-skills.
摄像头设备与云事件 API 技能。用于查询设备列表、根据设备名解析 deviceid、查询设备最新封面图、查询设备在线状态、按天查询或汇总云事件、查询单个事件详情,以及在需要最新画面时向设备发送截图指令并轮询结果。当用户要求查看某个摄像头当前画面、最新封面、在线状态、今天/昨天/某天/最近几天发生了什么、某个事件详情,或只知道设备名称不知道 deviceid 时使用。
$ npx skills add LeoYeAI/openclaw-master-skills --skill camera-api -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills camera-api --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/camera-api .claude/skills/camera-api && 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 "camera-api" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/camera-api into .claude/skills/camera-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-api", 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/camera-apiType 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 camera-api -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills camera-api --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/camera-api .agents/skills/camera-api && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "camera-api" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/camera-api into .agents/skills/camera-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-api", 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 camera-api -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills camera-api --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/camera-api .cursor/skills/camera-api && 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 "camera-api" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/camera-api into .cursor/skills/camera-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-api", 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/camera-api--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 camera-api -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills camera-api --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/camera-api .gemini/skills/camera-api && 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 "camera-api" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/camera-api into .gemini/skills/camera-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-api", 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 camera-apiInstalls 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 camera-api -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/camera-api .github/skills/camera-api && 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 "camera-api" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/camera-api into .github/skills/camera-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-api", 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 camera-api -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 camera-api --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/camera-api .opencode/skills/camera-api && 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 "camera-api" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/camera-api into .opencode/skills/camera-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-api", 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.
camera-api摄像头设备与云事件 API 技能。用于查询设备列表、根据设备名解析 deviceid、查询设备最新封面图、查询设备在线状态、按天查询或汇总云事件、查询单个事件详情,以及在需要最新画面时向设备发送截图指令并轮询结果。当用户要求查看某个摄像头当前画面、最新封面、在线状态、今天/昨天/某天/最近几天发生了什么、某个事件详情,或只知道设备名称不知道 deviceid 时使用。
Camera API is an agent skill from LeoYeAI/openclaw-master-skills. 摄像头设备与云事件 API 技能。用于查询设备列表、根据设备名解析 deviceid、查询设备最新封面图、查询设备在线状态、按天查询或汇总云事件、查询单个事件详情,以及在需要最新画面时向设备发送截图指令并轮询结果。当用户要求查看某个摄像头当前画面、最新封面、在线状态、今天/昨天/某天/最近几天发生了什么、某个事件详情,或只知道设备名称不知道 deviceid 时使用。
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `_meta.json` and `tivs-cli.js`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
3 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 (JavaScript), which the agent can run.
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:
openapi-cn01.tange365.comskill.webcamapp.ccFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
TIVS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Camera API loads about 2.5k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 570 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). 570 words, ~2,458 tokens.
.claude/skills/camera-api/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.通过探鸽云端 API 完成设备解析、接口选路、云事件归纳和截图轮询,并将结果整理成面向用户的答案。优先返回设备状态、事件摘要和图片内容,不直接回传原始签名图片 URL 或未整理的接口响应。
https://openapi-cn01.tange365.com/。Authorization: Bearer $TIVS_API_KEY
X-Tg-App-Id: $TIVS_APP_ID
Accept-Language: zh-CN
X-Tg-Platform: pc
Content-Type: application/json
X-Tg-SDK-VERSION: 216TIVS_API_KEY 和 TIVS_APP_ID。不要在技能内容、代码或回复里硬编码任何凭据或用户私密信息。X-Tg-Platform: pc 发请求;如果当前运行环境已经通过 SDK 自动注入 web,沿用运行时默认值,不要同时发送两个不同的 X-Tg-Platform。https://openapi-cn01.tange365.com/ 只是 API 服务地址,不是创建 AppID 或 api_key 的入口页面。AppID / api_key 的获取页面可能因客户 APP 名称、APP 账号体系不同而不同,不要假设所有用户共用同一个入口页面。icam365 APP 账号:https://skill.webcamapp.cc/icam365/api-keywosee APP 账号:https://skill.webcamapp.cc/wosee/api-keyTIVS_API_KEY 或 TIVS_APP_ID 时优先复用。TIVS_API_KEY、TIVS_APP_ID,还是两者都缺失。AppID 和 api_key,再配置到当前运行环境。icam365、wosee,再给页面。code = 0 或 code = 200 视为成功。id、time、thumbnail、image、image_path、tag.tag、tag.name、tag.msg、can_play、summary。device_id。device_id 字符串;按天事件接口和事件详情接口按单设备、单事件处理。YYYY-MM-DD。POST /v2/msg/directive/device/{device_id};查询抓拍结果的唯一路径是 GET /v2/cloud/screenshot/{device_id}。POST /v2/device/thumbnail 只是查询封面图,不是抓拍结果接口;不要把它和 GET /v2/cloud/screenshot/{device_id} 混用。GET /v2/device/screenshot/{device_id}、POST /v2/device/screenshot/{device_id},或任何未在本文档出现的 screenshot 变体路径。404、405 或 501,先逐字检查方法和路径是否与本文档一致,再决定是否回退到备用接口;不要在错误路径上重复重试。POST /v2/device/listPOST /v2/device/thumbnailPOST /v3/device/onlineGET /v2/cloud/events/{device_id}/{date}POST /v2/cloud/eventGET /v2/cloud/event/{event_id}POST /v2/msg/directive/device/{device_id} 发送截图指令,再优先 GET /v2/cloud/screenshot/{device_id} 或回退到当天云事件查询获取最新截图当请求里没有可靠的 device_id 时:
device_name 精确匹配,再做保守的包含匹配。device_id 字符串;不支持批量的接口逐个调用。POST /v2/cloud/event。GET /v2/cloud/screenshot/{device_id},必要时才回退到当天事件。触发截图后按下面流程执行:
/v2/msg/directive/device/{device_id} 发送 save_video 指令。GET /v2/cloud/screenshot/{device_id} 获取最新抓拍结果;方法和路径都要逐字匹配,不要改写成 /v2/device/screenshot/{device_id} 或其他变体。POST /v2/cloud/event 查询当天事件。tag.tag == "screenshot" 的最新事件;如果没有 tag.tag,再看 tag.name 或 tag.msg 是否表示截图。不要无限轮询。
device_name、device_id、是否主人、绑定时间、联网方式等关键信息。is_online 作为设备整体是否在线的最终结论,再分别解释 register_status.is_online、dormant_status.is_alive、rtc_status.is_online 等子系统状态;子系统状态只能补充说明连接形态,不能单独推翻顶层在线结论。如果顶层 is_online 缺失,再明确说明整体结论未知,并列出已返回的各子系统状态。time 倒序整理,再将 Unix 秒级时间戳转为可读时间,必要时结合 tag、summary、图片信息做简短总结。当需要列出设备或根据设备名解析 device_id 时,调用:
POST /v2/device/list请求体示例:
{
"offset": 0,
"limit": 10,
"name": "我的门铃",
"device_id": ""
}请求参数说明:
name:按设备名称过滤,适合用户只提供设备名称、备注名或模糊名称时使用。device_id:按设备 ID 过滤,适合已经知道精确设备 ID 时使用。offset / limit:分页参数。优先从响应中读取:
device_iddevice_nameis_ownerconnect_wayextend.bind_timetotalname 做初筛,再对返回项做精确匹配。total 大于当前已取回的数量,而设备仍未唯一匹配,继续翻页。当用户想看设备最近一张画面,但不要求立刻唤醒设备时,调用:
POST /v2/device/thumbnail请求体示例:
{
"device_id": "678A7QP6Q5WD"
}说明:
device_id,多个设备用逗号分隔。当用户想知道设备是否在线、是否在工作、是否休眠、是否可用 RTC 连接时,调用:
POST /v3/device/online请求体示例:
{
"device_id": "678A7QP6Q5WD"
}说明:
device_id,多个设备用逗号分隔。is_online 是设备整体在线状态的最终判断。用户问“设备在线吗”时,先回答这个结论。register_status.is_online、dormant_status.is_alive、rtc_status.is_online 分别表示长连接、休眠子系统、RTC 子系统的状态,用于解释整体状态来源和可用链路。register_status.is_online 为 false,只要顶层 is_online 为 true,仍应回答“设备整体在线”,再补充说明当前是哪个子系统在线、哪个子系统不在线。is_online 缺失时,才退化为分别报告各子系统状态,并明确说明“整体在线状态未知”。is_online 的整体结论。当用户要查询今天或某一天的事件列表时,调用:
GET /v2/cloud/events/{device_id}/{date}路径参数:
device_id:单个设备 IDdate:YYYY-MM-DD说明:
tag 和 summary 归纳。id、time、thumbnail、image、tag.tag、tag.name、tag.msg、can_play。当你需要分页、按标签过滤事件,或为截图轮询查找新增事件时,调用:
POST /v2/cloud/event请求体示例:
{
"device_id": "678A7QP6Q5WD",
"tag": ["screenshot"],
"date": "2026-03-21",
"offset": 0,
"limit": 10
}说明:
tag 可以留空数组,表示不过滤事件类型。tag 收窄到截图相关值。offset > 0 且返回空列表,视为没有更多数据。response.data.items 数组,可继续读取 time、thumbnail、image、tag、can_play 等字段。当用户提供 event_id 或要求查看某条事件详情时,调用:
GET /v2/cloud/event/{event_id}说明:
detail.msg、detail.categoryName、containsVideo、storageId 等详情字段,优先利用这些字段补充说明。当截图指令已经发送,且当前环境提供专门的抓拍结果查询接口时,调用:
GET /v2/cloud/screenshot/{device_id}说明:
GET,不要改写成 /v2/device/screenshot/{device_id} 或其他 /v2/device/* 路径。response.data.items,图片字段常见为 image_path。200 不代表一定拿到了本次新截图;要优先结合 time、created_at、create_time 等时间字段,确认图片晚于截图指令的时间基线。404、405 或 501,先检查自己是否把方法或路径写错了;确认无误后,再判断当前环境是否不支持该接口。POST /v2/cloud/event。当用户明确要求“现在拍一张”“看当前画面”时,调用:
POST /v2/msg/directive/device/{device_id}请求体示例:
{
"directive": "save_video",
"reactive": false,
"data": ""
}说明:
device_id 调用;如果用户要多个设备的当前画面,逐个设备执行。data 字段结构。device_id,先查设备列表。device_id。device_id,先查设备列表。device_id,先查设备列表。GET /v2/cloud/screenshot/{device_id},失败再按轮询流程查当天事件。device_id 组装为逗号分隔字符串。device_id 组装为逗号分隔字符串。TIVS_API_KEY 或 TIVS_APP_ID:明确提示缺少环境变量;先识别用户当前 APP 名称,再引导他去对应 APP 的 API Key 页面创建应用并获取 AppID 与 api_key。404、405 或 501:先检查是否误写成 /v2/device/screenshot/{device_id}、是否把 GET 写成了其他方法;只有确认路径和方法都正确后,才判断接口本身不可用并回退到 POST /v2/cloud/event。is_online 作为整体结论,再说明各子系统状态可能处于切换瞬间;不要因为某一个子系统离线就误判整体离线。© 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 in skills/camera-api of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Camera API 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 |
|---|---|---|---|---|---|---|
| Camera API this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Mdm Device Managementsickn33/agentic-awesome-skills | 47k | 1 repos | ~3k | Automated safety check: Notes | MIT | |
| Foundation Models On Deviceaffaan-m/ECC | 274k | 3 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Developer Device Platform Basicsgoogle/skills | 21k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Usb Device Control Policymukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Frost Sequence Camera Orbitheygen-com/hyperframes | 58k | 1 repos | ~9.6k | Automated safety check: Pass | Apache-2.0 |
sickn33/agentic-awesome-skills
Manage and secure company devices with MDM solutions. An agent skill from sickn33/agentic-awesome-skills.
affaan-m/ECC
苹果FoundationModels框架用于设备上的LLM——文本生成、使用@Generable进行引导生成、工具调用,以及在iOS 26+中的快照流。
google/skills
Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP).
mukul975/Anthropic-Cybersecurity-Skills
Implements USB device control policies to restrict unauthorized removable media access on endpoints, preventing data exfiltration and malware introduction via USB devices.
heygen-com/hyperframes
A ready-made HyperFrames video block where an orbiting camera follows an ice logo that shatters, reforms into two text lines and fades, at 1920×1080.
AprilNEA/OpenLogi
Finds the first failing layer when an OpenLogi Logitech device is missing or misbehaving across enumeration, open, probe, IPC and UI.
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
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LeoYeAI/openclaw-master-skills
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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.
摄像头设备与云事件 API 技能。用于查询设备列表、根据设备名解析 deviceid、查询设备最新封面图、查询设备在线状态、按天查询或汇总云事件、查询单个事件详情,以及在需要最新画面时向设备发送截图指令并轮询结果。当用户要求查看某个摄像头当前画面、最新封面、在线状态、今天/昨天/某天/最近几天发生了什么、某个事件详情,或只知道设备名称不知道 deviceid 时使用。. Camera API is an agent skill from LeoYeAI/openclaw-master-skills.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill camera-api -a claude-code`. Or copy the skill folder (skills/camera-api in LeoYeAI/openclaw-master-skills) into .claude/skills/camera-api in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill camera-api -a codex`. Or copy the skill folder (skills/camera-api in LeoYeAI/openclaw-master-skills) into .agents/skills/camera-api 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 camera-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/camera-api, .gemini/skills/camera-api, .github/skills/camera-api and .opencode/skills/camera-api in your project.
Going by SKILL.md and its folder, Camera API needs JavaScript for the scripts in its folder and credentials named TIVS_API_KEY. Our summary lists: Node.js; A credential in TIVS_API_KEY.
SKILL.md names 2 domains. In commands or code: openapi-cn01.tange365.com and skill.webcamapp.cc; the agent is likely to contact these 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.
Camera API is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.8k 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 Camera API: Mdm Device Management (sickn33/agentic-awesome-skills, 47k stars), Foundation Models On Device (affaan-m/ECC, 274k stars), Developer Device Platform Basics (google/skills, 21k stars) and Implementing Usb Device Control Policy (mukul975/Anthropic-Cybersecurity-Skills, 34k 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 2,158 GitHub stars. The repository holds 1,215 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.