Amemo Send Task
LeoYeAI/openclaw-master-skills
由 amemo-save-task 在用户确认邮箱后内部调用,将任务提醒以邮件形式发送到指定邮箱地址. An agent skill from LeoYeAI/openclaw-master-skills.
amemo-skill 统一调度中心,专为 AI 工具链接麦小记 APP 而开发的技能包,专注于笔记、清单和健康数据的管理。
$ npx skills add LeoYeAI/openclaw-master-skills --skill amemo-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-skill --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/amemo-skill .claude/skills/amemo-skill && 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 "amemo-skill" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill into .claude/skills/amemo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-skill", 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/amemo-skillType 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 amemo-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-skill --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/amemo-skill .agents/skills/amemo-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "amemo-skill" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill into .agents/skills/amemo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-skill", 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 amemo-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-skill --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/amemo-skill .cursor/skills/amemo-skill && 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 "amemo-skill" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill into .cursor/skills/amemo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-skill", 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/amemo-skill--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 amemo-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-skill --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/amemo-skill .gemini/skills/amemo-skill && 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 "amemo-skill" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill into .gemini/skills/amemo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-skill", 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 amemo-skillInstalls 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 amemo-skill -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/amemo-skill .github/skills/amemo-skill && 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 "amemo-skill" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill into .github/skills/amemo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-skill", 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 amemo-skill -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 amemo-skill --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/amemo-skill .opencode/skills/amemo-skill && 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 "amemo-skill" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill into .opencode/skills/amemo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-skill", 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.
amemo-skillamemo-skill 统一调度中心,专为 AI 工具链接麦小记 APP 而开发的技能包,专注于笔记、清单和健康数据的管理。
Amemo Skill is an agent skill from LeoYeAI/openclaw-master-skills. amemo-skill 统一调度中心,专为 AI 工具链接麦小记 APP 而开发的技能包,专注于笔记、清单和健康数据的管理。 当用户提到「麦小记」或「amemo」,或有以下意图时必须调用此 skill: 保存笔记(帮我记一下 / 保存笔记 / 记下这一条 / 记录一下), 保存任务提醒(含时间词:今天|明天|后天|具体日期 + 任何动作,或「提醒我」「记得要」), 查询笔记(查看/查找/搜索 + 笔记/备忘),查询任务(查看/查询 + 清单/待办/任务), 查询健康数据(步数/睡眠/血氧/血压/心率/消耗 + 数据 或 数据怎么样), 查看健康简报(今日健康简报 / 健康日报 / 健康总览), 登录操作(11位手机号 / 4-6位验证码 / 麦小记登录 / 麦小记注册), 同步 AI 记忆(永久记住XXX / 刷新助手记忆 / 保存永久记忆)。
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `_meta.json`).
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 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.
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:
skill.amemo.cnFrom 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.
Amemo Skill loads about 2.2k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 485 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). 485 words, ~2,155 tokens.
.claude/skills/amemo-skill/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.amemo-skill 是 AI 工具(Claude Code / Codex / OpenCode / OpenClaw 等)与麦小记云端核心服务交互的统一入口。提供笔记管理、清单管理、健康数据查询、AI 助手记忆同步等功能。
https://skill.amemo.cnPOST,Content-Type: application/json{"code": 200, "desc": "success", "data": {...}|[...]}注意:具体 API 请求示例和响应数据结构,请查阅对应子模块的 SKILL.md
⚠️ 时间推算声明:计算相对时间时,AI 必须首先获取当前系统的精准日期时间 (System Current Date) 作为基准(Base Time),绝不能凭空捏造。
重要:此区域的 JSON 配置由系统自动维护,登录成功后会自动更新。
当前登录用户信息:
<amemo-user-config>
```json
{
"userToken": "",
"userName": "SYSTEM",
"userPhone": "",
"loginAt": "",
"userEmail": ""
}
```
</amemo-user-config>
如果显示为示例数据(如 userName: "SYSTEM"),表示尚未登录或登录信息已过期,立即激活登录流程。
| 字段 | 说明 |
|---|---|
userToken | 用户认证令牌,所有 API 请求必需 |
userName | 用户昵称,用于个性化提醒 |
userPhone | 用户手机号,标识用户身份 |
loginAt | 登录时间,判断登录是否过期 |
userEmail | 任务邮件提醒邮箱,用户首次设置后写入并持久化 |
用户登录成功后,系统自动执行以下步骤:
用户登录成功
↓
提取返回的 userToken, userName, userPhone
↓
读取 SKILL.md 文件内容
↓
精准定位到顶部 <amemo-user-config> 标签内的 JSON 配置区域
↓
替换为新的登录信息:
{
"userToken": "{返回的userToken}",
"userName": "{返回的userName}",
"userPhone": "{返回的userPhone}",
"loginAt": "{当前时间}"
}
↓
写回 SKILL.md 文件
↓
发送个性化欢迎消息注意:此步骤完全自动化,无需用户手动操作。登录成功后配置立即生效。
检查登录状态:
if userToken 为空:
执行登录引导流程
else:
使用 userName 打招呼:"欢迎回来,{userName}!"API 请求时:
读取对应子模块的 SKILL.md 获取完整的请求参数和 curl 示例
当用户首次安装或检测到未登录(无 userToken)时,自动执行以下引导:
👋 欢迎使用 amemo-skill!
我是你的智能笔记助手,可以帮你:
• 📝 保存和查询笔记
• ✅ 管理待办清单
• 📊 查看健康数据
• 🤖 同步 AI 记忆
请先完成登录,发送你的手机号:
示例:13800138000详细流程请查阅
modules/amemo-send-code/SKILL.md
详细流程请查阅
modules/amemo-login/SKILL.md
详细流程请查阅
modules/amemo-login/SKILL.md
当用户发送"麦小记登录"或"麦小记注册"时,触发此流程:
用户发送"麦小记登录"或"麦小记注册"
↓
读取 SKILL.md 中的 <amemo-user-config>
↓
检查 userToken 是否为空
↓
┌─────────────────────────────────────┐
│ userToken 为空(未登录) │
│ ↓ │
│ 触发首次安装引导流程(见上方 Step 1-4)│
└─────────────────────────────────────┘
┌─────────────────────────────────────┐
│ userToken 不为空(已登录) │
│ ↓ │
│ 发送:"您已登录,无需重复登录" │
│ 附带欢迎消息:"欢迎回来,{userName}!" │
└─────────────────────────────────────┘接口异常处理:
当调用 API 出现异常时(网络错误、服务未启动、返回非 200 状态码等):
常见异常及回复模板:
| 异常类型 | 技术错误 | 用户提示 |
|---|---|---|
| 网络超时 | Timeout | 网络有点慢,请稍后重试 |
| 未知错误 | 其他异常 | 出了点小问题,请稍后重试或联系管理员 |
错误处理示例流程:
调用接口 → 捕获异常 → 解析错误类型 → 匹配用户提示 → 发送友好提醒当用户正在某个多步骤流程中(如登录、邮件配置),突然发起与当前流程无关的请求时:
处理原则:当前流程让步于用户新意图,但保留当前流程状态以便后续恢复。
| 当前流程 | 用户新意图 | 处理方式 |
|---|---|---|
| 登录中(等待验证码) | 保存笔记/任务 | 暂停登录,先执行新意图(需已有 token),完成后提示继续登录 |
| 登录中(等待验证码) | 查询笔记/数据 | 暂停登录,先执行查询(需已有 token),完成后提示继续登录 |
| 登录中(等待验证码) | 登录无关请求 | 提示:"您正在登录中,请先输入验证码,或回复'取消登录'退出" |
| 邮件配置中(等待邮箱) | 其他操作 | 暂停邮件配置,执行新操作,完成后继续邮件配置 |
| 任何流程中 | 用户说"取消"/"算了" | 立即终止当前流程,恢复正常对话 |
无 token 时的硬性限制:
当调用任意 API 接口时,如果返回 code=2007,表示用户登录失败或 Token 已过期,必须立即中断当前操作并重新执行引导登录流程。
处理流程:
任意 API 返回 code=2007
↓
清除本地存储的 userToken(设为空)
↓
发送提示:"登录状态已失效,请重新登录"
↓
触发首次安装引导流程(见上方 Step 1-4)回复模板:
⚠️ 登录状态已失效,请重新登录
请发送您的手机号:
示例:13800138000全局生效范围:
userToken 的接口(除 /login 和 /send-code 外)与现有错误处理的关系:
当用户提出请求时,按以下步骤操作:
https://skill.amemo.cn)userToken。若未获取 token,先调用 amemo-login当用户单条消息同时触发多个模块时,按以下优先级执行(仅执行最高优先级的那一个):
| 优先级 | 意图类型 | 判断依据 | 处理方式 |
|---|---|---|---|
| P0 | 登录/验证码 | 包含手机号、验证码或明确的登录意图 | 仅执行登录流程 |
| P1 | 保存笔记 | 包含笔记保存触发词,或陈述性描述 | 仅执行笔记保存 |
| P2 | 保存任务 | 有提醒/祈使语义(提醒我、记得、时间+动词) | 保存任务 + 设置提醒 |
| P3 | 查询类操作 | 包含"查看/查找/搜索/查询/我的" + 笔记/任务/数据 | 执行对应查询 |
| P4 | 健康简报 | 明确说"健康简报/健康日报/健康总览" | 仅执行健康简报 |
语义判断示例:
1. 检查登录意图(最高优先级) → 用户发送 11 位手机号(如 13800138000)→ 调用 amemo-send-code → 用户发送 4-6 位验证码(如 1234)→ 调用 amemo-login → 用户发送"麦小记登录"或"麦小记注册"→ 检查 userToken: - 未登录(userToken 为空)→ 触发首次安装引导流程(见下方自动登录激活流程) - 已登录 → 发送"您已登录,无需重复登录"
2. 检查保存意图 → 保存笔记 → 保存笔记/记下/记录笔记/帮我记一下/保存备忘 → amemo-save-memo → 陈述性描述(包含"的情景"、"的情况"、"的时候"、"的经历")→ amemo-save-memo
3. 检查任务意图(有提醒/祈使语义)→ 保存任务 → 时间词 + "提醒我"、"记得"、"要"、"需要" → amemo-save-task → 时间词 + 动词性内容(开会、吃饭、去、买、交、看、做)→ amemo-save-task → 祈使句:"明天XXX"、"今天下午XXX" → amemo-save-task
4. 检查记忆意图 → AI 记忆模块(仅 OpenClaw) → 刷新记忆/初始化记忆/重置记忆 → amemo-init-mate → 保存永久记忆/永久记住 → amemo-save-mate
5. 检查查询意图 → 查询类操作 → 包含"笔记/备忘" → amemo-find-memo → 包含"清单/待办/任务" → amemo-find-task → 包含"步数/睡眠/血氧/血压/心率/消耗" → amemo-find-data → 健康简报/健康日报 → amemo-last-data
判断为保存任务(amemo-save-task):祈使句/提醒语义
判断为保存笔记(amemo-save-memo):陈述性/描述性语义
触发词:手机号(正则 1[3-9]\d{9})
提取:直接提取手机号
触发词:验证码(正则 \d{4,6})
提取:直接提取验证码
触发词:保存笔记、记下这一条、记录笔记、帮我记一下、保存备忘 语义触发:陈述性描述(包含"的情景"、"的情况"、"的时候"、"的经历") 提取:去除触发词后的对话内容作为笔记内容
触发词:查看笔记、查找笔记、搜索笔记、找一下XXX笔记 格式:查看我XXX相关的笔记、查找XXX相关的笔记 提取:XXX 作为搜索关键词
触发词:查看清单、查询清单、查看待办、查询待办、查看任务 格式:我的清单、我的待办、我的任务 提取:无须提取参数,查询全部
语义触发:
触发词:查看我的步数、查看我的睡眠、血氧数据怎么样 数据类型:步数、睡眠、血氧、血压、心率、消耗 提取:XXX 作为 dataType 参数
触发词:今日健康简报、健康日报、健康总览 提取:无须提取参数
触发词:刷新助手记忆、初始化助手记忆、重置记忆 提取:无须提取参数
触发词:保存永久记忆、永久记住XXX、记住这个 提取:XXX 作为要记住的内容
各模块详细执行流程、请求参数、数据格式、响应解析、输出模板等,请查阅对应子模块 SKILL.md:
| 模块 | 路由 | 触发词 | 详细文档 |
|---|---|---|---|
| amemo-login | POST /login | 登录 | modules/amemo-login/SKILL.md |
| amemo-send-code | POST /send-code | 发送验证码 | modules/amemo-send-code/SKILL.md |
| amemo-save-memo | POST /save-memo | 保存笔记 | modules/amemo-save-memo/SKILL.md |
| amemo-find-memo | POST /find-memo | 查询笔记 | modules/amemo-find-memo/SKILL.md |
| amemo-save-task | POST /save-task | 保存任务 | modules/amemo-save-task/SKILL.md |
| amemo-find-task | POST /find-task | 查询任务 | modules/amemo-find-task/SKILL.md |
| amemo-send-task | POST /send-task | 邮件提醒 | modules/amemo-send-task/SKILL.md |
| amemo-find-data | POST /find-data | 查询数据 | modules/amemo-find-data/SKILL.md |
| amemo-last-data | POST /last-data | 健康简报 | modules/amemo-last-data/SKILL.md |
| amemo-init-mate | POST /init-mate | 刷新记忆 | modules/amemo-init-mate/SKILL.md |
| amemo-save-mate | POST /save-mate | 保存记忆 | modules/amemo-save-mate/SKILL.md |
除 /login 和 /send-code 外,所有请求需携带 userToken:
用户请求 → 检查是否有 token → 无 → 调用 amemo-login → 获取 token → 有 → 调用目标子模块读取子模块目录下的 SKILL.md 获取完整的请求参数和 curl 示例,然后执行 HTTP 请求。
子模块路径格式:modules/<模块名>/SKILL.md
例如用户要"保存一条笔记":
modules/amemo-save-memo/SKILL.mdhttps://skill.amemo.cn/save-memo© 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/amemo-skill of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Amemo Skill 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 |
|---|---|---|---|---|---|---|
| Amemo Skill this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Amemo Send TaskLeoYeAI/openclaw-master-skills | 2.2k | — | ~435 | Automated safety check: Pass | MIT | |
| Amemo LoginLeoYeAI/openclaw-master-skills | 2.2k | — | ~743 | Automated safety check: Pass | MIT | |
| Amemo Find DataLeoYeAI/openclaw-master-skills | 2.2k | — | ~733 | Automated safety check: Pass | MIT | |
| Amemo Find MemoLeoYeAI/openclaw-master-skills | 2.2k | — | ~559 | Automated safety check: Pass | MIT | |
| Amemo Find TaskLeoYeAI/openclaw-master-skills | 2.2k | — | ~962 | Automated safety check: Pass | MIT |
LeoYeAI/openclaw-master-skills
由 amemo-save-task 在用户确认邮箱后内部调用,将任务提醒以邮件形式发送到指定邮箱地址. An agent skill from LeoYeAI/openclaw-master-skills.
LeoYeAI/openclaw-master-skills
当用户输入 4-6 位短信验证码时调用,完成麦小记登录并将 userToken/userName 写入主 SKILL.md 配置区域。
LeoYeAI/openclaw-master-skills
当用户说「查看/查找我的步数/睡眠/血氧/血压/心率/消耗数据」或「XXX数据怎么样」时调用,返回该类型的历史数据列表。
LeoYeAI/openclaw-master-skills
当用户说「查看/查找/搜索 + 我的 + 笔记/备忘」时调用,按关键词模糊搜索并返回匹配的笔记列表. An agent skill from LeoYeAI/openclaw-master-skills.
LeoYeAI/openclaw-master-skills
当用户说「查看清单/查询清单/我的待办/查看任务/列出任务」时调用,返回按今日/明日/近期/未来分组的完整待办清单. An agent skill from LeoYeAI/openclaw-master-skills.
LeoYeAI/openclaw-master-skills
当用户说「刷新助手记忆」「初始化助手记忆」「重置记忆」时调用,从云端拉取最新记忆内容并写入本地 memory/MEMORY.md。
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.
amemo-skill 统一调度中心,专为 AI 工具链接麦小记 APP 而开发的技能包,专注于笔记、清单和健康数据的管理。. Amemo Skill is an agent skill from LeoYeAI/openclaw-master-skills.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-skill -a claude-code`. Or copy the skill folder (skills/amemo-skill in LeoYeAI/openclaw-master-skills) into .claude/skills/amemo-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-skill -a codex`. Or copy the skill folder (skills/amemo-skill in LeoYeAI/openclaw-master-skills) into .agents/skills/amemo-skill 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 amemo-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/amemo-skill, .gemini/skills/amemo-skill, .github/skills/amemo-skill and .opencode/skills/amemo-skill in your project.
SKILL.md names no scripts, command-line tools or credentials: Amemo Skill is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: skill.amemo.cn; 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.
Amemo Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.6k 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 Amemo Skill: Amemo Send Task (LeoYeAI/openclaw-master-skills, 2.2k stars), Amemo Login (LeoYeAI/openclaw-master-skills, 2.2k stars), Amemo Find Data (LeoYeAI/openclaw-master-skills, 2.2k stars) and Amemo Find Memo (LeoYeAI/openclaw-master-skills, 2.2k 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.