Agent skill

Amemo Skill

by LeoYeAI in 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。

MITAuto-check passed

Install Amemo Skill

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill amemo-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills amemo-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
amemo-skill
GitHub stars
2.2k
Token cost
~2.2k tokens
SKILL.md length
485 words
Files
3
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

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。

  • Works in 4 steps: 欢迎消息(自动发送) → 手机号提取与验证码发送 → 验证码提取与登录 → …
  • SKILL.md covers 基础配置, 用户配置管理, 安装后引导流程 and 自动登录激活流程, plus 4 more sections
  • Reaches skill.amemo.cn

What it does

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.

Example prompts

  • “/amemo-skill”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. 欢迎消息(自动发送)
  2. 手机号提取与验证码发送
  3. 验证码提取与登录
  4. 登录成功处理(自动更新配置)

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • skill.amemo.cn

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 485 words, ~2,155 tokens.

Download SKILL.mdSave it as .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.
name
amemo-skill
description
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)。

amemo-skill — 统一调度中心

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。

基础配置

  • Base URL: https://skill.amemo.cn
  • 请求方式: 全部 POST,Content-Type: application/json
  • 响应格式: {"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。

用户配置管理

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。

配置字段
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
更新配置流程(自动执行)

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。

使用示例

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

安装后引导流程

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:

Step 1: 欢迎消息(自动发送)
👋 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
Step 2: 手机号提取与验证码发送

详细流程请查阅 modules/amemo-send-code/SKILL.md

Step 3: 验证码提取与登录

详细流程请查阅 modules/amemo-login/SKILL.md

Step 4: 登录成功处理(自动更新配置)

详细流程请查阅 modules/amemo-login/SKILL.md

自动登录激活流程

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):

  1. 读取错误信息 - 捕获异常详情
  2. 转换为用户语言 - 将技术错误转为通俗解释
  3. 提供解决方案 - 告诉用户下一步怎么做

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
会话中途打断处理

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:

  • 如果用户未登录(无 userToken),除登录/验证码外的所有操作都必须先引导登录
  • 不可在未登录状态下执行查询或保存操作
全局 Token 过期处理(code=2007)

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:

  • 所有需要 userToken 的接口(除 /login 和 /send-code 外)
  • 包括:保存笔记、查询笔记、保存任务、查询任务、查询数据、健康简报、发送任务提醒、AI 记忆同步等
  • 无论当前处于哪个操作流程中,一旦收到 code=2007,立即切换到登录引导流程

与现有错误处理的关系:

  • code=2007 的优先级高于普通异常处理
  • 收到 code=2007 时,直接执行登录引导,不再显示其他错误提示

调度流程

当用户提出请求时,按以下步骤操作:

  1. 确认服务状态 — 确保 amemo 服务可用(Base URL: https://skill.amemo.cn)
  2. 识别用户意图 — 根据用户需求判断应调用哪个子模块
  3. 检查认证状态 — 除登录/验证码外,所有接口需要 userToken。若未获取 token,先调用 amemo-login
  4. 调度子模块 — 读取对应模块的 SKILL.md 执行具体请求
意图优先级规则

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:

  • "今天下午开需求会" → P2(祈使句,动词性内容)
  • "今天下午开需求会的时候" → P1(陈述性描述,"的时候"表示场景)
  • "提醒我明天交报告" → P2(有提醒意图)
  • "记得明天要去医院" → P2(有提醒意图)
  • "保存笔记,今天下午开需求会的情况" → P1(陈述性描述)
  • "查看我的步数数据" → P3,查询数据
  • "查询明天的待办" → P3(查询意图优先,不创建任务)

模块调度决策树(按顺序判断)

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

Show full SKILL.md (177 more words)Show less
时间词触发的语义判断规则

判断为保存任务(amemo-save-task):祈使句/提醒语义

  • "提醒我明天XXX" → 有明确提醒意图
  • "记得后天要XXX" → 有提醒意图
  • "明天XXX吧" / "明天XXX" → 祈使句/请求
  • "今天下午开需求会" → 动词性内容(开会是动作)
  • "明天交报告" → 动词性内容
  • "今天要买菜" → 动词性内容

判断为保存笔记(amemo-save-memo):陈述性/描述性语义

  • "今天下午开需求会的时候" → "的时候"表示描述场景
  • "上次开会的情景" → 名词性描述
  • "我感冒的时候的情况" → 表示描述某种情况
  • "还记得当时的情景吗" → 陈述回忆
  • 包含"的情景"、"的情况"、"的时候"、"的经历" → 陈述性内容

各模块触发词与提取规则

amemo-send-code

触发词:手机号(正则 1[3-9]\d{9}) 提取:直接提取手机号

amemo-login

触发词:验证码(正则 \d{4,6}) 提取:直接提取验证码

amemo-save-memo 保存笔记

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

amemo-find-memo 查询笔记

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

amemo-find-task 查询任务

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

amemo-save-task 保存任务

语义触发:

  • 有提醒意图:"提醒我明天XXX"、"记得后天要XXX"
  • 祈使句:"明天XXX"、"今天下午开需求会"
  • 时间词 + 动词性内容(开会、吃饭、去、买、交、看、做) 触发词:
  • 今天XXX、明天XXX、后天XXX、昨天XXX
  • 12月XX日XXX、X月XX日XXX(具体日期)
  • 将来的XXX、未来的XXX、最近XXX、近期XXX 提取:时间和任务内容
amemo-find-data 查询健康数据

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

amemo-last-data 健康简报

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

amemo-init-mate 刷新记忆(仅 OpenClaw)

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

amemo-save-mate 保存记忆(仅 OpenClaw)

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

子模块调度索引

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-loginPOST /login登录modules/amemo-login/SKILL.md
amemo-send-codePOST /send-code发送验证码modules/amemo-send-code/SKILL.md
amemo-save-memoPOST /save-memo保存笔记modules/amemo-save-memo/SKILL.md
amemo-find-memoPOST /find-memo查询笔记modules/amemo-find-memo/SKILL.md
amemo-save-taskPOST /save-task保存任务modules/amemo-save-task/SKILL.md
amemo-find-taskPOST /find-task查询任务modules/amemo-find-task/SKILL.md
amemo-send-taskPOST /send-task邮件提醒modules/amemo-send-task/SKILL.md
amemo-find-dataPOST /find-data查询数据modules/amemo-find-data/SKILL.md
amemo-last-dataPOST /last-data健康简报modules/amemo-last-data/SKILL.md
amemo-init-matePOST /init-mate刷新记忆modules/amemo-init-mate/SKILL.md
amemo-save-matePOST /save-mate保存记忆modules/amemo-save-mate/SKILL.md

认证流程

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

使用方式

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":

  1. 读取 modules/amemo-save-memo/SKILL.md
  2. 按参数格式构造请求
  3. 用 curl 发送 POST 请求到 https://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

Files

SKILL.md and 2 other files in skills/amemo-skill of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • modules

Open the folder on GitHubat commit e5199b5

Compare with similar skills

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.

Amemo Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Amemo Skill this skillLeoYeAI/openclaw-master-skills2.2k—~2.2kAutomated safety check: PassMIT
Amemo Send TaskLeoYeAI/openclaw-master-skills2.2k—~435Automated safety check: PassMIT
Amemo LoginLeoYeAI/openclaw-master-skills2.2k—~743Automated safety check: PassMIT
Amemo Find DataLeoYeAI/openclaw-master-skills2.2k—~733Automated safety check: PassMIT
Amemo Find MemoLeoYeAI/openclaw-master-skills2.2k—~559Automated safety check: PassMIT
Amemo Find TaskLeoYeAI/openclaw-master-skills2.2k—~962Automated safety check: PassMIT

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  • Amemo Find Memo

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    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.

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  • Amemo Find Task

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    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.

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Questions about Amemo Skill

What does Amemo Skill do?

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.

How do I install Amemo Skill in Claude Code?

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.

How do I install Amemo Skill in Codex?

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.

Can I use Amemo Skill in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Amemo Skill need to run?

SKILL.md names no scripts, command-line tools or credentials: Amemo Skill is instructions for the agent only.

Does Amemo Skill access the network?

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.

Is Amemo Skill safe to install?

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.

What licence does Amemo Skill use?

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.

How many tokens does Amemo Skill use?

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.

What are the alternatives to Amemo Skill?

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.

Who maintains Amemo Skill?

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.