Prompt Optimizer
affaan-m/ECC
分析原始提示，识别意图和差距，匹配ECC组件（技能/命令/代理/钩子），并输出一个可直接粘贴的优化提示。仅提供咨询角色——绝不自行执行任务。触发时机：当用户说“优化提示”、“改进我的提示”、“如何编写提示”、“帮我优化这个指令”或明确要求提高提示质量时。中文等效表达同样触发：“优化prompt”、“改进prompt”、“怎么写prompt”、“帮我优化这个指令”。不触发时机：当用户希望直接执行任…
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.
MITAuto-check passed
Install Amemo Find Task
$ npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-task -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-task --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/modules/amemo-find-task .claude/skills/amemo-find-task && 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-find-task" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-task into .claude/skills/amemo-find-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-task", 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-skill/modules/amemo-find-taskType 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-find-task -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-task --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/modules/amemo-find-task .agents/skills/amemo-find-task && 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-find-task" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-task into .agents/skills/amemo-find-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-task", 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-find-task -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-task --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/modules/amemo-find-task .cursor/skills/amemo-find-task && 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-find-task" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-task into .cursor/skills/amemo-find-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-task", 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/modules/amemo-find-task--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-find-task -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-task --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/modules/amemo-find-task .gemini/skills/amemo-find-task && 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-find-task" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-task into .gemini/skills/amemo-find-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-task", 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-find-taskInstalls 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-find-task -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/modules/amemo-find-task .github/skills/amemo-find-task && 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-find-task" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-task into .github/skills/amemo-find-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-task", 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-find-task -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-find-task --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/modules/amemo-find-task .opencode/skills/amemo-find-task && 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-find-task" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-task into .opencode/skills/amemo-find-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-task", 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.
Facts
- Skill name
amemo-find-task- GitHub stars
- 2.2k
- Token cost
- ~962 tokens
- SKILL.md length
- 148 words
- Files
- 1
- Skills in repo
- 972
- Repo updated
- First seen
- Licence
- MIT
At a glance
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.
- Works in 3 steps: 检查 userToken → 调用 POST /find-task → 解析返回数据，按分类组织展示
- SKILL.md covers 接口信息, 请求参数, 请求示例 and 响应数据结构, plus 5 more sections
- Calls curl; reaches skill.amemo.cn
What it does
Amemo Find Task is an agent skill from 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。
Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
Example prompts
- “/amemo-find-task”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 检查 userToken
- 调用 POST /find-task
- 解析返回数据，按分类组织展示
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
Shell commands in SKILL.md call:
curl
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 Find Task loads about 962 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 148 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.
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). 148 words, ~962 tokens.
Download SKILL.mdSave it as
.claude/skills/amemo-find-task/SKILL.md (or your agent's skills folder).- name
- amemo-find-task
- description
- 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。
amemo-find-task — 查询任务
接口信息
| 属性 | 值 |
|---|---|
| 路由 | POST https://skill.amemo.cn/find-task |
| Bean | TaskBean |
| Content-Type | application/json |
请求参数
⚠️ 服务端要求所有字段必须存在。
userToken必填且有值，其他字段可选但字段必须存在。
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
userToken | str | ✅ | 用户登录凭证 |
taskId | str | — | 按 ID 精确查询，不传则传 null |
taskTitle | str | — | 按标题模糊查询，不传则传 null |
taskTime | str | — | 按时间筛选，不传则传 null |
taskEmail | list[str] | — | 按邮箱筛选，不传则传 null |
请求示例
# 查询所有任务（所有可选字段传 null）
curl -X POST https://skill.amemo.cn/find-task \
-H "Content-Type: application/json" \
-d '{
"userToken": "<token>",
"taskId": null,
"taskTitle": null,
"taskTime": null,
"taskEmail": null
}'
# 按标题查询
curl -X POST https://skill.amemo.cn/find-task \
-H "Content-Type: application/json" \
-d '{
"userToken": "<token>",
"taskId": null,
"taskTitle": "报告",
"taskTime": null,
"taskEmail": null
}'响应数据结构
{
"code": 200,
"desc": "success",
"data": {
"recommend": [],
"myFollow": [],
"todayList": [],
"tomorrowList": [],
"recentList": [],
"finishList": [],
"futureList": []
}
}TaskInfo 任务信息
| 字段 | 类型 | 说明 |
|---|---|---|
taskId | str | 任务唯一标识 |
taskTitle | str | 任务标题 |
recentRemindTime | int | 最近的提醒时间 |
待办清单展示模板
无数据时回复
**📋 暂无待办清单**
> 创建新任务 →
> • 「今天 3 点开会」
> • 「提醒我明天交报告」任务清单展示模板
**✅ 待办清单** · 共 {total} 项
---
### 📅 今日待办
- ⏳ {task1}
- ⏳ {task2}
- ⏳ {task3}
---
### 📆 明日待办 ({count})
- ⏳ {task1}
---
### 📋 近期待办 ({count})
- ⏳ {task1}
---
### 🔮 未来待办 ({count})
- ⏳ {task1}
---
### ⭐ 收藏 ({count})
- ★ {task1}
---
### ✔ 已完成 ({count})
- ✓ {task1}单个任务项格式化
| 任务类型 | 格式 |
|---|---|
| 待做任务 | {index}. {taskTitle} |
| 收藏任务 | {index}. ⭐ {taskTitle} |
| 已完成任务 | {index}. ✔ {taskTitle} |
任务状态图标
| 状态 | 图标 | 说明 |
|---|---|---|
| pending | ⏳ | 待完成 |
| completed | ✔ | 已完成 |
| expired | ❌ | 已过期 |
| follow | ⭐ | 已收藏 |
分组展示优先级
| 优先级 | 分类 | 说明 |
|---|---|---|
| 1 | 今日待办 | 今日必须完成的任务，优先展示 |
| 2 | 明日待办 | 明日计划的任务 |
| 3 | 近期待办 | 未来15天内的任务 |
| 4 | 未来待办 | 15天之后的任务 |
| 5 | 我的收藏 | 用户收藏的重要任务 |
| 6 | 已完成 | 已完成的任务 |
分类计数统计
| 分类 | 数量 |
|:-----|:----:|
| 今日待办 | {count} |
| 明日待办 | {count} |
| 近期待办 | {count} |
| 未来待办 | {count} |
| 我的收藏 | {count} |
| 已完成 | {count} |
| **总计** | **{count}** |任务为空时处理
如果某分类为空：
| 分类 | 空状态提示 |
|---|---|
| 今日/明日/近期 | 暂无15天内待办 |
| 未来 | 暂无未来待办 |
| 收藏 | 暂无收藏任务 |
| 已完成 | 暂无已完成任务 |
输出示例
**✅ 待办清单** · 共 17 项
---
### 📅 今日待办
- ⏳ 完成项目报告
- ⏳ 提交代码审查
- ⏳ 准备会议材料
---
### 📆 明日待办 (2)
- ⏳ 产品需求评审
- ⏳ 团队周会
---
### 📋 近期待办 (4)
- ⏳ 客户方案调整
- ⏳ 技术文档更新
- ⏳ 测试报告评审
- ⏳ 版本发布准备
---
### 🔮 未来待办 (2)
- ⏳ 季度 OKR 制定
- ⏳ 年度总结规划
---
### ⭐ 收藏 (1)
- ★ 年度总结
---
### ✔ 已完成 (5)
- ✓ 登录功能开发
- ✓ 数据库优化
- ✓ API 接口调试
- ✓ 前端页面联调
- ✓ 部署文档编写调用示例
示例一：查看待办清单
用户输入：
查看我的待办清单系统处理：
- 检查
userToken - 调用
POST /find-task - 解析返回数据，按分类组织展示
示例二：查找清单
用户输入：
查找我的清单系统处理：
- 检查
userToken - 调用
POST /find-task - 格式化输出给用户
执行流程（由主模块调度）
执行步骤
1. 识别触发词（查看/查询/列出 + 清单/任务/待办）
↓
2. 检查 userToken 是否存在
├── 无 token → 引导登录流程
↓
3. 调用 POST /find-task 接口
↓
4. 解析返回数据
├── todayList: 今日列表
├── tomorrowList: 明日列表
├── recentList: 近期列表（15天内）
├── futureList: 未来列表
├── finishList: 已完成列表
└── myFollow: 我的收藏
↓
5. 按分类组织并格式化输出回复模板
无数据时
**📋 暂无待办清单**
> 创建新任务 →
> • 「今天 3 点开会」
> • 「提醒我明天交报告」© 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
Just SKILL.md in skills/amemo-skill/modules/amemo-find-task of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Compare with similar skills
Amemo Find Task 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 Find Task this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~962 | Automated safety check: Pass | MIT | |
| Prompt Optimizeraffaan-m/ECC | 275k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Zsxq Replyitwanger/toBeBetterJavaer | 18k | — | ~979 | Automated safety check: Pass | None | |
| Video Syncitwanger/toBeBetterJavaer | 18k | — | ~445 | Automated safety check: Pass | None | |
| Generate StoryboardArcReel/ArcReel | 5.4k | — | ~816 | Automated safety check: Pass | AGPL-3.0 | |
| Good Askdigoal/blog | 8.6k | — | ~723 | Automated safety check: Pass | GPL-2.0 |
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Questions about Amemo Find Task
What does Amemo Find Task do?
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. Amemo Find Task is an agent skill from LeoYeAI/openclaw-master-skills.
How do I install Amemo Find Task in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-task -a claude-code`. Or copy the skill folder (skills/amemo-skill/modules/amemo-find-task in LeoYeAI/openclaw-master-skills) into .claude/skills/amemo-find-task in your project. Claude Code loads it when a task matches its description.
How do I install Amemo Find Task in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-task -a codex`. Or copy the skill folder (skills/amemo-skill/modules/amemo-find-task in LeoYeAI/openclaw-master-skills) into .agents/skills/amemo-find-task in your project. Codex loads it when a task matches its description.
Can I use Amemo Find Task 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-find-task -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-find-task, .gemini/skills/amemo-find-task, .github/skills/amemo-find-task and .opencode/skills/amemo-find-task in your project.
What does Amemo Find Task need to run?
Going by SKILL.md and its folder, Amemo Find Task needs the command-line tools its instructions call (curl).
Does Amemo Find Task 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 Find Task 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 Find Task use?
Amemo Find Task 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 Find Task use?
About 962 tokens (SKILL.md is roughly 3.8k 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 Find Task?
Skills that share tags, products or a category with Amemo Find Task: Prompt Optimizer (affaan-m/ECC, 275k stars), Zsxq Reply (itwanger/toBeBetterJavaer, 18k stars), Video Sync (itwanger/toBeBetterJavaer, 18k stars) and Generate Storyboard (ArcReel/ArcReel, 5.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Amemo Find Task?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 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.