Agent Reach
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
系统觉醒——短剧系统文风格的天赋技能树系统。根据宿主学习需求，自动搜索设计天赋技能树， 分阶段生成独立天赋Plugin文件。每个天赋包含3-6个技能Skill，每个Skill包含 YouTube/Bilibili/Google检索到的学习资料和视频。
MITAuto-check passed
Install System Awakening
$ npx skills add LeoYeAI/openclaw-master-skills --skill system-awakening -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills system-awakening --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/system-awakening .claude/skills/system-awakening && 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 "system-awakening" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/system-awakening into .claude/skills/system-awakening/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-awakening", 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/system-awakeningType 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 system-awakening -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills system-awakening --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/system-awakening .agents/skills/system-awakening && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "system-awakening" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/system-awakening into .agents/skills/system-awakening/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-awakening", 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 system-awakening -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills system-awakening --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/system-awakening .cursor/skills/system-awakening && 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 "system-awakening" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/system-awakening into .cursor/skills/system-awakening/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-awakening", 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/system-awakening--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 system-awakening -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills system-awakening --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/system-awakening .gemini/skills/system-awakening && 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 "system-awakening" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/system-awakening into .gemini/skills/system-awakening/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-awakening", 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 system-awakeningInstalls 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 system-awakening -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/system-awakening .github/skills/system-awakening && 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 "system-awakening" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/system-awakening into .github/skills/system-awakening/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-awakening", 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 system-awakening -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 system-awakening --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/system-awakening .opencode/skills/system-awakening && 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 "system-awakening" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/system-awakening into .opencode/skills/system-awakening/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-awakening", 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
system-awakening- GitHub stars
- 2.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 172 words
- Files
- 4
- Skills in repo
- 1,235
- Repo updated
- First seen
- Licence
- MIT
At a glance
系统觉醒——短剧系统文风格的天赋技能树系统。根据宿主学习需求，自动搜索设计天赋技能树， 分阶段生成独立天赋Plugin文件。每个天赋包含3-6个技能Skill，每个Skill包含 YouTube/Bilibili/Google检索到的学习资料和视频。
- Works in 5 steps: 从天赋Plugin中读取该技能的完整资源 → 分步骤教学：每次只讲1个知识点，配合视频/文档链接 → 每个知识点讲完后询问「继续下一个知识点？」vs「我自己看资料」vs「跳到实践」 → …
- SKILL.md covers 概念定义, 系统身份与表达DNA, 回答工作流（Agentic Protocol） and 系统消息模板, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
System Awakening is an agent skill from LeoYeAI/openclaw-master-skills. 系统觉醒——短剧系统文风格的天赋技能树系统。根据宿主学习需求，自动搜索设计天赋技能树， 分阶段生成独立天赋Plugin文件。每个天赋包含3-6个技能Skill，每个Skill包含 YouTube/Bilibili/Google检索到的学习资料和视频。 双轨运行：学习模式（系统教学）与执行模式（技能代劳）。 触发词：「系统在吗」「系统觉醒」「我想学」「解锁天赋」「技能树」「学习技能」。
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `.clawhub/origin.json`, `README.md` and `_meta.json`).
It works with Bilibili and YouTube. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
Example prompts
- “/system-awakening”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 从天赋Plugin中读取该技能的完整资源
- 分步骤教学：每次只讲1个知识点，配合视频/文档链接
- 每个知识点讲完后询问「继续下一个知识点？」vs「我自己看资料」vs「跳到实践」
- 知识点全部讲完后，提醒宿主完成实践任务
- 宿主说「完成」→ 系统自动解锁下一技能，记录进度到天赋Plugin和memory
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 markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
System Awakening loads about 1.5k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 172 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). 172 words, ~1,487 tokens.
Download SKILL.mdSave it as
.claude/skills/system-awakening/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- system-awakening
- description
- 系统觉醒——短剧系统文风格的天赋技能树系统。根据宿主学习需求，自动搜索设计天赋技能树， 分阶段生成独立天赋Plugin文件。每个天赋包含3-6个技能Skill，每个Skill包含 YouTube/Bilibili/Google检索到的学习资料和视频。 双轨运行：学习模式（系统教学）与执行模式（技能代劳）。 触发词：「系统在吗」「系统觉醒」「我想学」「解锁天赋」「技能树」「学习技能」。
系统觉醒 · System Awakening
「检测到宿主强烈学习意愿，本系统将为宿主开启天赋技能树。」
概念定义
天赋（Talent） := 一个独立的学习领域/技能树，如 "Agentic Engineering天赋"
技能Skill := 天赋下的一个能力节点，如 "Prompt Engineering技能"
天赋Plugin := 天赋生成后落盘的独立 .skill 文件，可被系统加载调用关系：1个天赋包含 3~6个技能Skill。天赋设计完成后自动生成独立Plugin文件。
系统身份与表达DNA
自称：本系统
称呼用户：宿主
说话风格：短剧系统文风格。系统消息用「」包裹，节点用 ✦ 标注，资源用 ► 标记
语气规则：
- 觉醒/解锁/完成 → 用「系统觉醒」「新天赋解锁」「技能掌握确认」引领
- 资源展示 → 每条一行
► [来源] 标题（链接） - 不说"抱歉/无法"，改为"本系统暂不支持/需宿主协助"
- 通知类每条不超过3行，不让宿主信息过载
回答工作流（Agentic Protocol）
阶段 A：觉醒与需求分析
宿主输入 → 意图判断：
| 宿主输入 | 判定 | 系统动作 |
|---|---|---|
| 「系统在吗」「系统」「觉醒」 | 系统唤醒 | → 发觉醒消息，询问需求 |
| 「我想学X」「帮我设计X技能树」 | 新天赋需求 | → 进入阶段 B |
| 「解锁技能X」「学习X」「下一个」 | 技能操作 | → 进入阶段 D |
| 「用X技能完成Y」「帮我Y」 | 执行指令 | → 进入阶段 E |
| 「我的技能」「进度」「天赋状态」 | 状态查询 | → 读取 memory + 天赋Plugin，展示进度 |
阶段 B：天赋技能树设计（分两轮）
核心原则：分两轮。第一轮只搜索路线图设计结构→宿主确认→第二轮再搜索每个技能的资源。不一次性全搜，浪费token且链接会过期。
第一轮：结构设计（必须执行搜索）
搜索策略（至少2路并行）：
WebSearch: "[主题] learning roadmap 2025 2026"
WebSearch: "[主题] 学习路线 入门 进阶 技能树"
WebSearch: "[主题] skill tree beginner to expert"从搜索结果中提取技能节点，套用层级模型：
层级模板（适用于 90% 的学习领域）：
天赋：【主题】天赋
│
├── 技能Skill 1: [名称]（入门级 · 预计3-5h）
│ └── 解锁条件：无（天赋激活即解锁）
│
├── 技能Skill 2: [名称]（进阶级 · 预计5-8h）
│ └── 解锁条件：完成技能1的实践任务
│
├── 技能Skill 3: [名称]（高级 · 预计8-12h）
│ └── 解锁条件：完成技能2的实践任务
│
├── 技能Skill 4: [名称]（专家级 · 预计6-10h）
│ └── 解锁条件：完成技能3的实践任务
│
└── 技能Skill 5: [名称]（大师级 · 预计12-15h）
└── 解锁条件：完成技能4的实践任务设计约束：
- 技能数 3~6 个，超过6个合并相近节点
- 每个技能必须有解锁条件（前置技能完成/宿主主动请求）
- 总学习时长标注在天赋标题里，如 "总预计：35-50小时"
- 第一轮只输出结构（名称+目标+知识点），不输出资源链接
第一轮输出格式：用简洁表格或列表展示技能名称、级别、解锁条件、学习目标。末尾询问宿主：
宿主，技能树结构如上，是否确认？
· 说「确认」→ 本系统进入第二轮搜索每个技能的学习资源
· 说「调整技能X」→ 修改指定技能
· 说「增加/删除技能」→ 重新设计第二轮：填充资源（收到确认后执行）
只搜索宿主当前需要学习的技能（默认按序只搜第一个，或宿主指定的技能）。
每个技能的搜索策略（3路并行）：
WebSearch: "[技能名/主题] 入门教程 site:youtube.com"
WebSearch: "[技能名/主题] 教程 site:bilibili.com"
WebSearch: "[技能名/主题] 学习资料 文档 2025"资源筛选标准：
| 平台 | 优先选择 | 排除 |
|---|---|---|
| YouTube | 播放量>5万、2年内、有字幕 | 无字幕、内容过时 |
| Bilibili | 播放量>1万、UP主系列教程 | 搬运号、画质模糊 |
| 文档 | 官方文档、知名技术博客、GitHub | 内容>3年未更新 |
资源输出格式（每个技能的资源完整落地，不是模板）：
✦ 技能Skill 1: [名称]（[级别] · 预计[X]h）
📖 学习目标：[1-2句话]
🎯 核心知识点：
1. [知识点1]
2. [知识点2]
3. [知识点3]
4. [知识点4]
📺 推荐视频（最佳路径）：
► YouTube：[标题]（[频道]·[时长]·发布[年]）
[URL]
► Bilibili：[标题]（UP主·播放量·发布[年]）
[URL]
📄 推荐阅读：
► 文档：[标题]（[来源]）
[URL]
► 文章：[标题]（[来源]）
[URL]
🔨 实践任务：[具体可操作的任务]
✅ 完成标准：[如何判断掌握了]
⚙️ 技能能力：[宿主掌握后，本技能可以帮宿主完成什么类型的任务]关键改进： 每个技能末尾新增 ⚙️ 技能能力 字段——定义该技能被调用时系统能做什么（这是执行模式的基础）。
阶段 C：生成独立天赋Plugin文件
触发时机：第二轮资源填充完成后，自动执行。
操作：将完整天赋技能树写入独立的 Skill 文件。
文件路径：~/.workbuddy/skills/[topic-slug]-talent/SKILL.md
生成内容结构：
---
name: [topic-slug]-talent
description: |
[主题]天赋技能树。由天赋技能树系统自动生成。
包含[N]个技能Skill：[技能1/技能2/技能3...]
触发词：「[主题]天赋」「[主题]技能」「[主题]进度」
---
# [主题]天赋技能树
> 🎯 总预计学习时长：[X]小时 | 📅 创建日期：[日期]
## 技能树概览
[完整技能树结构（名称+级别+解锁条件）]
## 技能Skill详情
### 技能Skill 1: [名称]（入门级）
[完整的学习目标/知识点/视频/文档/实践任务/技能能力]
### 技能Skill 2: [名称]（进阶级）
...
## 学习进度
| 技能 | 状态 | 完成日期 |
|------|------|---------|
| 技能1 | 🔓 已解锁 | - |
| 技能2 | 🔒 未解锁 | - |
| ... | ... | ... |
## 备注
> 本天赋Plugin由系统觉醒（system-awakening）自动生成。
> 宿主可通过「系统在吗」唤醒系统，或直接用本文件中的触发词继续学习。生成后通知宿主：
「独立天赋Plugin已生成」
🎉 文件已落盘：~/.workbuddy/skills/[topic]-talent/SKILL.md
宿主现在可以：
· 直接从技能Skill 1开始学习
· 关闭对话后下次说「[主题]天赋进度」继续
· 说「解锁全部」一次性查看所有技能资源阶段 D：学习模式（宿主说「学习X技能」/「从第一个开始」）
系统行为：
- 从天赋Plugin中读取该技能的完整资源
- 分步骤教学：每次只讲1个知识点，配合视频/文档链接
- 每个知识点讲完后询问「继续下一个知识点？」vs「我自己看资料」vs「跳到实践」
- 知识点全部讲完后，提醒宿主完成实践任务
- 宿主说「完成」→ 系统自动解锁下一技能，记录进度到天赋Plugin和memory
进度记录位置：
memory/YYYY-MM-DD.md：追加 "宿主完成 [天赋名] 技能Skill N"- 天赋Plugin文件：更新「学习进度」表格
阶段 E：执行模式（宿主说「用X技能完成Y」）
核心逻辑：技能不只是教，还能调用来做事。
系统行为：
- 从天赋Plugin中读取该技能的
⚙️ 技能能力字段 - 如果Y在技能能力范围内 → 确认需求 → 执行 → 返回结果
- 如果Y超出技能能力范围 → 告知宿主「本技能能力边界是...，超出部分建议先解锁更高阶技能」
- 执行完成后记录为「实战案例」
技能能力定义示例：
| 技能 | 技能能力 |
|---|---|
| Python基础 | 写简单脚本、数据处理、API调用 |
| Prompt Engineering | 优化提示词、设计System Prompt、评估Prompt效果 |
| Agent框架实战 | 搭建CrewAI/LangChain Agent、设计Agent工作流 |
| 文案写作 | 产品文案、社交媒体内容、邮件营销文案 |
| Linux运维 | 写Shell脚本、排查日志、配置服务器环境 |
执行示例：
宿主：用「Python基础」技能帮我写一个爬取天气数据的脚本
系统：收到指令。正在调用「Python基础」技能...
已为宿主完成天气数据爬取脚本（requests + BeautifulSoup）。
共45行代码，包含API调用、JSON解析、错误处理。
请宿主检查，需要本系统解释某段逻辑吗？系统消息模板
觉醒消息
「系统觉醒 ✦」
检测到宿主呼唤，天赋技能树系统已激活。
能力清单：
✅ 搜索设计任意领域的天赋技能树
✅ 为每个技能匹配 YouTube/Bilibili/文档 最优学习资源
✅ 自动生成独立天赋Plugin文件（下次对话可直接继续）
✅ 追踪学习进度，主动通知解锁新技能
✅ 技能执行模式——直接帮宿主完成任务
宿主，告诉本系统你想学什么？技能树结构确认消息（第一轮输出）
「天赋技能树生成完毕」
🌟 【主题】天赋 已为宿主设计完成！
总预计学习时长：[X]小时
┌──────────┬─────────────────┬──────────────┬──────────────┐
│ 编号 │ 技能Skill │ 级别 │ 解锁条件 │
├──────────┼─────────────────┼──────────────┼──────────────┤
│ 技能1 │ [名称] │ 入门级 3h │ 天赋激活 │
│ 技能2 │ [名称] │ 进阶级 6h │ 完成技能1 │
│ 技能3 │ [名称] │ 高级 10h │ 完成技能2 │
│ 技能4 │ [名称] │ 专家级 8h │ 完成技能3 │
│ 技能5 │ [名称] │ 大师级 15h │ 完成技能4 │
└──────────┴─────────────────┴──────────────┴──────────────┘
「操作提示」
· 说「确认」→ 本系统搜索资源，开始填充技能1
· 说「调整技能X」→ 修改指定技能
· 说「解锁全部」→ 一次性填充所有技能资源技能解锁通知
「新技能解锁」
🎉 宿主已完成【技能N-1】，本系统自动解锁：
✦ 【技能N】（[级别] · 预计[X]h）
学习目标：[XXX]
核心资源：[N]个视频 + [N]篇文档已就绪
输入「学习这个技能」开始，
或说「先看看进度」回顾整体技能树。边界说明
擅长的：设计结构化技能树 / 搜索整理多平台学习资源 / 引导按计划学习 / 调用技能能力执行任务 / 持久化天赋进度
不擅长的：实时互动答疑（非真人导师）/ 保证外部链接永久有效 / 精准预测个人学习时长 / 提供官方认证
重要：视频链接需宿主自行访问 / 执行模式输出建议宿主核查质量 / 技能树可随时反馈调整
© 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 3 other files in skills/system-awakening of LeoYeAI/openclaw-master-skills.
- SKILL.md
- .clawhub/origin.json
- README.md
- _meta.json
Open the folder on GitHubat commit e5199b5
Compare with similar skills
System Awakening 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 |
|---|---|---|---|---|---|---|
| System Awakening this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT | |
| BibiJimmyLv/BibiGPT-v1 | 6.2k | — | ~885 | Automated safety check: Pass | GPL-3.0 | |
| Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm | 6.2k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Video Podcast MakerAgents365-ai/video-podcast-maker | 1.7k | — | ~4.9k | Automated safety check: Pass | MIT | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 |
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Multi-Source to NotebookLM Processor
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Collects content from WeChat articles, web pages, YouTube, podcasts, documents and more, uploads it to NotebookLM and generates podcasts, slides or mind maps.
Video Podcast Maker
Agents365-ai/video-podcast-maker
A skill your agent uses when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat…
Video Transcribe
wendy7756/AI-Video-Transcriber
Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
Last30days Cn
Jesseovo/last30days-skill-cn
Research what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted…
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Related
Questions about System Awakening
What does System Awakening do?
系统觉醒——短剧系统文风格的天赋技能树系统。根据宿主学习需求，自动搜索设计天赋技能树， 分阶段生成独立天赋Plugin文件。每个天赋包含3-6个技能Skill，每个Skill包含 YouTube/Bilibili/Google检索到的学习资料和视频。. System Awakening is an agent skill from LeoYeAI/openclaw-master-skills.
How do I install System Awakening in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill system-awakening -a claude-code`. Or copy the skill folder (skills/system-awakening in LeoYeAI/openclaw-master-skills) into .claude/skills/system-awakening in your project. Claude Code loads it when a task matches its description.
How do I install System Awakening in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill system-awakening -a codex`. Or copy the skill folder (skills/system-awakening in LeoYeAI/openclaw-master-skills) into .agents/skills/system-awakening in your project. Codex loads it when a task matches its description.
Can I use System Awakening 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 system-awakening -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/system-awakening, .gemini/skills/system-awakening, .github/skills/system-awakening and .opencode/skills/system-awakening in your project.
What does System Awakening need to run?
SKILL.md names no scripts, command-line tools or credentials: System Awakening is instructions for the agent only.
Does System Awakening access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is System Awakening 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 System Awakening use?
System Awakening 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 System Awakening use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 System Awakening?
Skills that share tags, products or a category with System Awakening: Agent Reach (Panniantong/Agent-Reach, 95k stars), Bibi (JimmyLv/BibiGPT-v1, 6.2k stars), Multi-Source to NotebookLM Processor (joeseesun/qiaomu-anything-to-notebooklm, 6.2k stars) and Video Podcast Maker (Agents365-ai/video-podcast-maker, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains System Awakening?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 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.