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/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。
$ npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-data --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-data .claude/skills/amemo-find-data && 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-data" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-data into .claude/skills/amemo-find-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-data", 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-dataType 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-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-data --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-data .agents/skills/amemo-find-data && 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-data" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-data into .agents/skills/amemo-find-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-data", 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-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-data --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-data .cursor/skills/amemo-find-data && 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-data" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-data into .cursor/skills/amemo-find-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-data", 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-data--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-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills amemo-find-data --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-data .gemini/skills/amemo-find-data && 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-data" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-data into .gemini/skills/amemo-find-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-data", 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-dataInstalls 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-data -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-data .github/skills/amemo-find-data && 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-data" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-data into .github/skills/amemo-find-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-data", 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-data -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-data --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-data .opencode/skills/amemo-find-data && 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-data" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/amemo-skill/modules/amemo-find-data into .opencode/skills/amemo-find-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amemo-find-data", 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-find-data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。
Amemo Find Data is an agent skill from 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。
Its SKILL.md is about 730 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.
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.
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:
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 Find Data loads about 733 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 81 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). 81 words, ~733 tokens.
.claude/skills/amemo-find-data/SKILL.md (or your agent's skills folder).| 属性 | 值 |
|---|---|
| 路由 | POST https://skill.amemo.cn/find-data |
| Bean | DataBean |
| Content-Type | application/json |
⚠️ 服务端要求所有字段必须存在。
userToken和dataType必填且有值,不可传null。
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
userToken | str | ✅ | 用户登录凭证 |
dataType | str | ✅ | 数据类型(步数/睡眠/血氧/血压/心率/消耗,不能为空) |
# 按类型查询
curl -X POST https://skill.amemo.cn/find-data \
-H "Content-Type: application/json" \
-d '{"userToken": "<token>", "dataType": "步数"}'{
"code": 200,
"desc": "success",
"data": [...]
}| 关键词 | dataType 参数值 |
|---|---|
| 步数 | 步数 |
| 睡眠 | 睡眠 |
| 血氧 | 血氧 |
| 血压 | 血压 |
| 心率 | 心率 |
| 消耗 | 消耗 |
提取示例:
| 用户输入 | 匹配结果 |
|---|---|
| "查看我的步数数据" | 步数 |
| "查找我的睡眠记录" | 睡眠 |
| "心率数据怎么样" | 心率 |
| "消耗卡路里" | 消耗 |
未匹配示例:
| 用户输入 | 匹配结果 |
|---|---|
| "查看我的体重数据" | ❌ 不匹配6大类 |
| "查找我的血糖数据" | ❌ 不匹配6大类 |
1. 识别触发词(查看/查找/搜索 + 我的 + XXX + 数据)
↓
2. 检查 userToken 是否存在
├── 无 token → 引导登录流程
↓
3. 提取数据类型关键词
├── 去除:查看、查找、搜索、我的、数据、怎么样
├── 匹配6大类型
↓
4. 匹配判断
├── 不匹配 → 告知用户暂无可用数据类型
↓
5. 调用 POST /find-data 接口
↓
6. 数据总结输出(按对应模板格式化)**📊 步数数据**
> 今日: {latest_steps} 步 · 目标: {percentage}%
> 趋势: {trend} 比昨日 {diff} 步
| 日期 | 步数 | 进度 |
|:-----|:----:|:-----|
| {date1} | {steps1} | {bar1} |
| {date2} | {steps2} | {bar2} |**😴 睡眠数据**
> 昨晚: {duration} · 质量: {quality_star}
> 入睡: {bedtime} · 起床: {wakeup}
| 日期 | 时长 | 入睡 | 起床 |
|:-----|:----:|:----:|:----:|
| {date1} | {dur1} | {bt1} | {wu1} |
| {date2} | {dur2} | {bt2} | {wu2} |**🩸 血氧数据**
> 最近: {latest_oxygen}% · 状况: {status}
> 平均: {avg_oxygen}%
| 日期 | 血氧 | 状况 |
|:-----|:----:|:-----|
| {date1} | {oxy1}% | {stat1} |
| {date2} | {oxy2}% | {stat2} |**❤️ 血压数据**
> 最近: {latest} mmHg · 状况: {status}
> 平均: {avg} mmHg
| 日期 | 高压 | 低压 | 状况 |
|:-----|:----:|:----:|:-----|
| {date1} | {sys1} | {dia1} | {stat1} |
| {date2} | {sys2} | {dia2} | {stat2} |**💓 心率数据**
> 最近: {latest_hr} bpm · 范围: {range}
> 平均: {avg_hr} bpm
| 日期 | 心率 | 状况 |
|:-----|:----:|:-----|
| {date1} | {hr1} | {stat1} |
| {date2} | {hr2} | {stat2} |**🔥 卡路里消耗**
> 今日: {latest_cal} kcal · 目标: {percentage}%
> 平均: {avg_cal} kcal
| 日期 | 消耗 | 进度 |
|:-----|:----:|:-----|
| {date1} | {cal1} | {bar1} |
| {date2} | {cal2} | {bar2} |> 📭 暂无「{关键词}」数据
>
> 支持查询:
> 步数 · 睡眠 · 血氧 · 血压 · 心率 · 消耗© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/amemo-skill/modules/amemo-find-data of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Amemo Find Data 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 Data this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~733 | 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 |
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…
itwanger/toBeBetterJavaer
以二哥(沉默王二)的身份回复知识星球「Java进阶之路&二哥编程星球」的帖子、提问和评论。完整工作流:扫描未回复的球友提问 → 参照二哥历史回复出草稿 → 用户确认后通过 zsxq-cli 发布。当用户说"看看星球有没有没回的提问"、"回复星球"、"星球回帖"、"帮我回答球友的问题"、"星球提问",或给出某条星球帖子链接/ID 要求回复时,必须使用此…
itwanger/toBeBetterJavaer
把「王二讲Agent」的 B 站视频链接同步到 docs/src/ai/video/readme.md,把抖音视频 ID 同步到 docs/src/.vuepress/agentInterview.ts 的 douyinVideoIds 映射表(页面会渲染成播放器)。当用户说 B 站更新了、抖音更新了、同步视频链接、把视频地址放进脚本、更新 readme 视频时使用。
ArcReel/ArcReel
为分镜生成分镜图。当用户说"生成分镜"、"预览分镜画面"、想重新生成某些分镜图、或剧本中有分镜缺少分镜图时使用。自动保持角色和画面连续性。
digoal/blog
给定一个行业(如新能源汽车、预制菜、少儿编程、殡葬、货运物流),提出若干个"好问题"——不作解答,但给出扎实理由。好问题指行业老大难或近期热点、真实不虚构、牵连广泛、深刻难解、够得着有解法、且有讨论张力。当用户说"针对X行业提几个好问题""这个行业有哪些值得深挖的真问题""帮我找选题/议题/讨论话题""这行的痛点/争议是什么"时使用本技能。
ArcReel/ArcReel
生成宫格分镜图。当用户说"生成宫格"、"宫格生图"、"用宫格装配生成分镜"时使用。自动按 segmentbreak 分组,选择最优宫格大小,生成链式过渡帧宫格联合图;用户审阅联合图并同意后,再切分落格为各分镜的起始分镜图。
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.
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。. Amemo Find Data is an agent skill from LeoYeAI/openclaw-master-skills.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-data -a claude-code`. Or copy the skill folder (skills/amemo-skill/modules/amemo-find-data in LeoYeAI/openclaw-master-skills) into .claude/skills/amemo-find-data in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill amemo-find-data -a codex`. Or copy the skill folder (skills/amemo-skill/modules/amemo-find-data in LeoYeAI/openclaw-master-skills) into .agents/skills/amemo-find-data 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-find-data -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-data, .gemini/skills/amemo-find-data, .github/skills/amemo-find-data and .opencode/skills/amemo-find-data in your project.
Going by SKILL.md and its folder, Amemo Find Data needs the command-line tools its instructions call (curl).
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 Find Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 733 tokens (SKILL.md is roughly 2.9k 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 Find Data: 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.
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.