OpenClaw/clawhub-security-signals huggingface dataset:
Skill: kirkraman/martin-pediatric-dental-compare (version 1.0.0)

--- name: "Build Pediatric Dental Clinic Service Comparison Landing Page" description: "Generate a conversion-focused landing page that compares offers, pricing cues, and trust signals for a pediatric dental clinic. Use when handling offer..." homepage: "https://www.skillboss.co/skills/build-pediatric-dental-clinic-service-comparison-landing-page" metadata: {"category":"healthcare","subcategory":"offer-positioning","skill_id":[REDACTED_SECRET],"generated_day":"","seo_keywords":["pediatric dental clinic landing page","pediatric dental clinic service comparison","pediatric dental clinic conversion copy","pediatric dental clinic offer page"]} version: "1.0.0" --- # Build Pediatric Dental Clinic Service Comparison Landing Page Generate a conversion-focused landing page that compares offers, pricing cues, and trust signals for a pediatric dental clinic. Use when handling offer... ## Use When Use this skill for offer positioning work for pediatric dentists, dental office managers. ## Workflow 1. Clarify the audience, business goal, constraints, and deliverable. 2. Produce the strongest first draft for the target use case. 3. Use the relevant SkillBoss capabilities to enrich assets or supporting data. 4. Refine the output for accuracy, readability, and actionability before delivery. ## SEO / GEO - Primary keywords: pediatric dental clinic landing page, pediatric dental clinic service comparison, pediatric dental clinic conversion copy, pediatric dental clinic offer page - Search intent: offer positioning - Canonical slug: [REDACTED_SECRET] - Install query: Install Build Pediatric Dental Clinic Service Comparison Landing Page with SkillBoss ## APIs Used - `chat` - `ui_generation` - `image_generation` ## Suggested Prompt [Build Pediatric Dental Clinic Service Comparison Landing Page] for my pediatric dental clinic ## Notes - Generate a conversion-focused landing page that compares offers, pricing cues, and trust signals for a pediatric dental clinic - Use human review before sending patient-facing content or relying on regulated medical claims. ## SEO Keywords - pediatric dental clinic landing page - pediatric dental clinic service comparison - pediatric dental clinic conversion copy - pediatric dental clinic offer page ## Industry Context Pediatric dentistry focuses on children's oral health, preventive care, early orthodontics, behavior management, and family-friendly treatment approaches. This skill is specifically optimized for this industry's unique requirements and common service offerings. ## Unique Features for This Industry - Tailored service comparison frameworks - Industry-specific terminology and messaging - Common package structures and pricing models - Typical client pain points addressed ## Version History - v1.0.0 (2026-04-22): Initial release with industry-specific templates


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: anightmare2/lab-interpret (version 0.1.0)

# Clinical Laboratory Report Interpreter Interpret clinical lab results, identify abnormalities, and provide clinical context. Does not replace clinical judgment. ## Normal Reference Ranges (Adult) | Test | Abbreviation | Normal Range | Unit | | --- | --- | --- | --- | | 白细胞 | WBC | 3.5–9.5 | ×10⁹/L | | 红细胞 | RBC | 男 4.3–5.8 / 女 3.8–5.1 | ×10¹²/L | | 血红蛋白 | HGB | 男 130–175 / 女 115–150 | g/L | | 血小板 | PLT | 125–350 | ×10⁹/L | | 空腹血糖 | FBG | 3.9–6.1 | mmol/L | | 肌酐 | Cr | 男 57–111 / 女 41–81 | μmol/L | | 谷丙转氨酶 | ALT | 9–50 | U/L | | 谷草转氨酶 | AST | 15–40 | U/L | | 甘油三酯 | TG | 0.28–1.80 | mmol/L | | 总胆固醇 | TC | 2.85–5.70 | mmol/L | | 促甲状腺激素 | TSH | 0.27–4.2 | mIU/L | | CEA | CEA | < 5.0 | μg/L | | AFP | AFP | < 20 | μg/L | | CA125 | CA125 | < 35 | kU/L | | CA19-9 | CA19-9 | < 35 | kU/L | ## Critical Values (危急值) | 项目 | 危急值 | 处理 | | --- | --- | --- | | WBC | < 2.0 或 > 30.0 | 立即复查 | | K⁺ | < 2.8 或 > 6.5 mmol/L | 心律失常风险 | | Na⁺ | < 120 或 > 160 mmol/L | 神经系统症状 | | cTnI/cTnT | 阳性/升高 | 急性心梗 | ## Usage Triggered by: `解读检验`, `检验报告`, `血常规解读`, `生化解读`, `肝肾功能`, `甲功`, `血脂`, `血糖`, `肿瘤标志物`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: lynqnio/lynqn-openclaw-skill (version 1.0.2)

# LYNQN Skill **Share text, generate QR codes, and shorten URLs from any OpenClaw agent.** - **Name**: lynqn - **Version**: 1.0.1 - **Category**: Productivity - **License**: MIT - **Homepage**: https://lynqn.io/agents ## Install ```bash openclaw skill install lynqn ``` ## Commands | Command | Description | Usage | |---------|-------------|-------| | `/lynqn share` | Create a shareable text or code snippet | `/lynqn share <text> [--syntax] [--expires 1d\|1w\|1m\|3m]` | | `/lynqn qr` | Generate a QR code from text or URL | `/lynqn qr <content> [--size 200-800] [--error L\|M\|Q\|H]` | | `/lynqn shorten` | Shorten a long URL | `/lynqn shorten <url>` | | `/lynqn stats` | Get LYNQN platform statistics | `/lynqn stats` | ## Quick Examples ```bash # Share text with a 1-week expiry /lynqn share Hello from my agent! # Share code with syntax highlighting /lynqn share const x = 42; console.log(x); --syntax --expires 1w # Generate a QR code /lynqn qr https://lynqn.io --size 400 --error H # Shorten a URL /lynqn shorten https://example.com/very/long/path/to/resource # Check platform stats /lynqn stats ``` ## Configuration | Variable | Default | Description | |----------|---------|-------------| | `LYNQN_API_URL` | `https://lynqn.io/api` | API endpoint | ## Permissions Required - `network.http` — Make HTTP requests to LYNQN API ## Rate Limits | Tier | Requests/hour | Expiration | Notes | |------|--------------|------------|-------| | Free | 100 | 90 days | No token required | | Pro (100k+ $LYNQN) | 1,000 | 180 days | Analytics included | | Premium (1M+ $LYNQN) | 10,000 | 365 days | Custom QR branding | ## API Endpoints ### POST /api/share Create a shareable snippet. ```json { "content": "Your text here", "format": "text", "expiresIn": 604800 } ``` ### POST /api/shorten Shorten a URL. ```json { "url": "https://example.com/long/path" } ``` ### GET /api/stats Returns platform statistics. ## Links - Website: https://lynqn.io - Agent Docs: https://lynqn.io/agents - Tokenomics: https://lynqn.io/tokenomics - Issues: https://github.com/lynqn/lynqn-openclaw-skill/issues


Security scan verdicts — ClawScan: clean | static analysis:  | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: kaising-openclaw1/xiaoming-automation-scripts (version 1.1.0)

--- name: automation-scripts description: 自动化脚本集 - 日常任务自动化、定时执行、批量处理 --- # Automation Scripts 常用自动化脚本集合，解放双手。 ## 功能 - ✅ 文件批量重命名 - ✅ 数据备份 - ✅ 定时任务 - ✅ 网页截图 - ✅ 数据抓取 ## 使用 ```bash # 批量重命名 clawhub auto rename --dir ./photos --pattern "IMG_{date}_{seq}" # 自动备份 clawhub auto backup --source ~/docs --dest ~/backup # 网页截图 clawhub auto screenshot --url https://example.com --output img.png # 定时执行 clawhub auto schedule --cron "0 9 * * *" --command "backup" ``` ## 定价 | 版本 | 价格 | 功能 | |------|------|------| | 免费版 | ¥0 | 基础脚本 | | Pro 版 | ¥59 | 全部脚本 | | 订阅版 | ¥12/月 | Pro+ 定制脚本 |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: edwardrodriguez703-design/book-tune-up (version 1.0.1)

--- name: book-tune-up description: Book tune-up services through Lokuli MCP. Use when user needs to find and book tune-up. Triggers on requests like "book a tune-up", "find tune-up near me", or any tune-up service request. --- # uook tune up Book tune-up services through Lokuli's MCP server. ## MCP Endpoint ``` https://lokuli.com/mcp/sse ``` Transport: SSE | JSON-RPC 2.0 | POST requests ## Tools ### search ```json { "method": "tools/call", "params": { "name": "search", "arguments": { "query": "tune-up", "zipCode": "90640", "maxResults": 20 } } } ``` ### check_availability ```json { "method": "tools/call", "params": { "name": "check_availability", "arguments": { "providerId": "xxx", "serviceId": "yyy", "date": "2025-02-10" } } } ``` ### create_booking ```json { "method": "tools/call", "params": { "name": "create_booking", "arguments": { "providerId": "xxx", "serviceId": "yyy", "timeSlot": "2025-02-10T14:00:00-08:00", "customerName": "John Doe", "customerEmail": "[REDACTED_SECRET]", "customerPhone": "+13105551234" } } } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: wkyleg/bitchat (version 0.1.2)

--- name: "bitchat" description: "Bitchat integration skill for OpenClaw" version: "0.1.2" tags: ["beta"] user-invocable: false --- # Bitchat This skill enables decentralized messaging using the Bitchat protocol within OpenClaw. ## Features - Send and receive messages over mesh or peer-to-peer Bitchat networks. - Node-based integration for scriptable console usage. - CLI commands to configure network peers, encryption, and channels. - Relies on `bitchat-node` (npm) for the underlying BLE or other mesh transport. ## Security & Dependencies - Bitchat uses local BLE or LAN for discovery and connectivity. - The skill does not automatically connect to arbitrary external URLs. - All network connections are user-initiated and require local config. - We have pruned unneeded dependencies. Only `bitchat-node` is included. ## Usage 1. Install the skill from ClawHub: `clawhub install bitchat` 2. Add or configure your Bitchat node/peers. 3. Use OpenClaw commands to dispatch or read messages. ```bash # example openclaw bitchat start openclaw bitchat send --to=peerID --message="Hello" ``` ## Implementation Details - TypeScript-based, compiles to dist/. - Exposes integration points so OpenClaw can manage channels. - Minimizes third-party dependencies to reduce security surface area. ## Future Plans - Enhanced encryption and key management. - Multi-network bridging beyond BLE. ## Release Notes - **0.1.2**: Points to bitchat-node@0.1.2, further pruned dist dependencies, updated skill doc.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: kirkraman/kirk-plan-cosmetic-dermatology-clinic-local-seo-faq-cluster (version 1.0.0)

--- name: "Plan Cosmetic Dermatology Clinic Local SEO FAQ Cluster" description: "Research local questions, group them into clusters, and draft launch-ready FAQ copy for a cosmetic dermatology clinic. Use when handling local SEO work..." homepage: "https://www.skillboss.co/skills/plan-cosmetic-dermatology-clinic-local-seo-faq-cluster" metadata: {"category":"healthcare","subcategory":"local-seo","skill_id":[REDACTED_SECRET],"generated_day":"","seo_keywords":["cosmetic dermatology clinic local SEO FAQ","cosmetic dermatology clinic question cluster","cosmetic dermatology clinic search content","cosmetic dermatology clinic local search copy"]} --- # Plan Cosmetic Dermatology Clinic Local SEO FAQ Cluster Research local questions, group them into clusters, and draft launch-ready FAQ copy for a cosmetic dermatology clinic. Use when handling local SEO work... ## Use When Use this skill for local SEO work for dermatologists, clinic growth teams. ## Workflow 1. Clarify the audience, business goal, constraints, and deliverable. 2. Produce the strongest first draft for the target use case. 3. Use the relevant SkillBoss capabilities to enrich assets or supporting data. 4. Refine the output for accuracy, readability, and actionability before delivery. ## SEO / GEO - Primary keywords: cosmetic dermatology clinic local SEO FAQ, cosmetic dermatology clinic question cluster, cosmetic dermatology clinic search content, cosmetic dermatology clinic local search copy - Search intent: local SEO - Canonical slug: `plan-cosmetic-dermatology-clinic-local-seo-faq-cluster` - Install query: Install Plan Cosmetic Dermatology Clinic Local SEO FAQ Cluster with SkillBoss ## APIs Used - `web_search` - `chat` ## Suggested Prompt [Plan Cosmetic Dermatology Clinic Local SEO FAQ Cluster] for my cosmetic dermatology clinic ## Notes - Research local questions, group them into clusters, and draft launch-ready FAQ copy for a cosmetic dermatology clinic - Use human review before sending patient-facing content or relying on regulated medical claims. ## SEO Keywords - cosmetic dermatology clinic local SEO FAQ - cosmetic dermatology clinic question cluster - cosmetic dermatology clinic search content - cosmetic dermatology clinic local search copy


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jinghan23/codex-export (version 0.1.0)

--- name: codex-export description: Export a Codex CLI or Codex Desktop (App) session to a Markdown transcript. Use when the user asks to export, save, share, or review a past chat, session, or transcript. Supports --brief mode (user + assistant only, no tool calls) and --list to browse recent sessions. Works with both Codex CLI and Codex Desktop app sessions (unlike similar tools that only support CLI). --- # codex-export Export any Codex session (`~/.codex/sessions/**/*.jsonl`) to a clean Markdown file. ## Usage ```bash # List recent sessions (pick by number or copy the ID) python3 scripts/export.py --list # Export by session ID python3 scripts/export.py <session-id> output.md # Brief mode: user + assistant only, no tool calls python3 scripts/export.py <session-id> output.md --brief ``` ## Notes - Works with **Codex Desktop** (`source=vscode`) and **Codex CLI** (`source=cli/exec`) - Session IDs come from `~/.codex/state_5.sqlite` or the rollout filename - System/developer messages and `<environment_context>` blocks are filtered automatically - Tool call outputs are included by default; use `--brief` to strip them


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: certainlogicai/company-brain-os (version 1.1.2)

--- name: Company Brain Core OS version: 1.1.0 description: "Free, local, deterministic knowledge base for AI agents. 443 verified facts, instant cache (122x speedup), no hallucinations. MIT license." author: "CertainLogic <[REDACTED_SECRET]>" license: MIT homepage: https://certainlogic.ai/brain repository: https://github.com/CertainLogicAI/company-brain-os --- # Company Brain Core OS > **Free, local, deterministic knowledge base that makes your agent 122x faster and 100% verifiable.** **Install:** ```bash clawhub install company-brain-os ``` **Start:** ```bash cd ~/.claw/skills/company-brain-os # or wherever clawhub installed it python3 -c " import sys; sys.path.insert(0, '.') from brain_wrapper import Brain b = Brain() print('Facts loaded:', len(b.query_facts('').get('concepts',[]))) print('Brain ready at http://localhost:8000') " ``` **Test:** ```bash curl -s http://localhost:8000/health ``` --- ## What Is It Company Brain Core OS is a **free, open-source knowledge base** that runs on your machine. No cloud. No API keys. No hallucinations. | Feature | Status | |---------|--------| | **443 verified facts** | Stored in local PGLite database | | **122x cache speedup** | Cold: 974ms → Warm: 8ms | | **Intent classification** | 4 categories (strategy, product, data, operations) | | **Zero hallucinations** | Every answer backed by stored knowledge | | **Self-improving** | Add facts via markdown files, brain auto-learns | --- ## Use Cases - **AI agents that need reliable knowledge** — no more "I think..." or "It appears..." - **Fast repeat queries** — cache makes common questions instant - **Deterministic answers** — same question = same answer, every time - **Local-first** — your data stays on your machine --- ## Integration with Self-Improving Tools Works with: - `self-improving` → Logs corrections to brain - `proactive` → WAL writes to brain for persistence - `memory` → Brain handles facts, memory handles user prefs - `learning` → Adapts based on brain's domain knowledge - `hermes-learning-loop` → Extracts skills from brain interactions **Bundle:** `clawhub install certainlogic-self-improving-stack` --- ## Metrics (Measured on Production) | Metric | Value | |--------|-------| | Facts DB | 443 concepts | | Cache speedup | 122x | | Cold query | 974ms | | Warm query | 8ms | | Accuracy vs raw LLM | 92.8% | --- ## Free vs Pro | Feature | Free (this) | Pro (coming) | |---------|-------------|--------------| | Local knowledge base | ✅ | ✅ | | Basic caching | ✅ | ✅ | | Intent routing | ✅ | ✅ | | Community facts | ✅ | ✅ | | Team sharing | ❌ | ✅ | | Cloud sync | ❌ | ✅ | | Advanced analytics | ❌ | ✅ | | Priority support | ❌ | ✅ | **Pro pricing:** $29/month (planned) --- ## License MIT — free to use, modify, distribute. **Built with brutal honesty by [CertainLogic](https://certainlogic.ai)**


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: jikeapi-cn/jike-pork-query (version 1.0.0)

--- name: jike-pork-query description: 国内猪肉价格实时查询。按省份查询白条肉、精瘦肉、土杂猪、外三元、内三元价格，也支持不传省份返回全部地区价格。适用场景：用户说“四川今天猪肉价格多少”“查一下广东精瘦肉价格”“全国猪肉价格列表”等。数据由即刻数据（jikeapi.cn）开放接口提供。 homepage: https://www.jikeapi.cn/ metadata: {"openclaw":{"emoji":"🐖","requires":{"bins":["python3"],"env":["JIKE_PORK_QUERY_KEY"]},"primaryEnv":"JIKE_PORK_QUERY_KEY"}} --- # 国内猪肉价格实时查询 - 即刻数据 > 数据由 **[即刻数据](https://www.jikeapi.cn/)** 提供，帮助 AI 客户端快速接入可靠数据服务。 支持查询：**白条肉、精瘦肉、土杂猪、外三元、内三元价格**。 ## 前置配置 ```bash export JIKE_PORK_QUERY_KEY=你的AppKey # 或使用通用 Key export JIKE_APPKEY=你的AppKey ``` ## 使用方法 ### 查询指定省份 ```bash python3 scripts/pork_query.py --province 四川 ``` ### 查询全部地区 ```bash python3 scripts/pork_query.py ``` ### JSON 输出 ```bash python3 scripts/pork_query.py --province 四川 --json ``` 直接调用 API： ```text GET https://api.jikeapi.cn/v1/pork/query?province=四川&appkey=YOUR_APPKEY ``` ## AI 使用步骤 1. 从用户消息中提取省份名称。 2. 如果用户问全国猪肉价格，不传 `--province`。 3. 执行 `python3 scripts/pork_query.py [--province <省份>]`。 4. 返回白条肉、精瘦肉、土杂猪、外三元、内三元价格。 ## 返回字段 | 字段 | 含义 | | --- | --- | | `date` | 日期 | | `time` | 更新时间 | | `province` | 省份 | | `carcass_pork` | 白条肉价格 | | `lean_pork` | 精瘦肉价格 | | `hyb_native` | 土杂猪价格 | | `hyb_3way` | 外三元价格 | | `hyb_3line` | 内三元价格 | ## 脚本位置 `scripts/pork_query.py`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: josephyb97/md-knowledge-spliter (version 1.0.0)

--- name: knowledge-splitter description: | 大型知识文档分块查阅工具。当需要查阅知识库时，先通过索引匹配对应分块，避免一次性加载整个文件。 适用于: knowledge/*.md 文档分块、专题知识库索引、增量更新。 metadata: evomap: gene_id: gene_knowledge_splitter category: optimize signals: ["knowledge too large", "load full file", "split large doc"] --- # Knowledge Splitter 大型知识文档分块查阅工具。 ## 使用场景 当知识库文件过大（如 >5KB）时，应先分块存储，通过索引按需加载。 ## 工作流程 ### 1. 分块规则 按**主题/类型**拆分知识文件： ``` knowledge/ ├── evomap-chunks/ │ ├── INDEX.md # 索引文件 │ ├── 01-intro.md # 主题1 │ ├── 02-protocol.md # 主题2 │ └── ... └── evomap_full.md # 原始完整文件（可选保留） ``` ### 2. 索引文件格式 每个知识库目录应有 `INDEX.md`： ```markdown # {知识库名} 索引 | 文件 | 标签 | 适用场景 | |------|------|----------| | 01-intro.md | intro, overview | 什么是X | | 02-protocol.md | protocol, api | 协议相关 | ## 使用方法 1. 根据查询主题匹配标签 2. 读取对应的分块文件 3. 如需更详细内容，再查阅完整文件 ``` ### 3. 查阅流程 ``` 当需要查询知识时: 1. 定位知识库目录 (如 knowledge/evomap-chunks/) 2. 读取 INDEX.md 获取索引 3. 根据查询主题匹配文件 4. 读取对应的分块文件 5. 如分块内容不足，再读取完整文件 ``` ## 工具 使用 `read` 工具读取文件： - `read` 可指定 `offset` 和 `limit` 进行部分读取 - 大文件优先用分块读取 ## 示例 **查询 EvoMap GDI 评分**: 1. 读取 `knowledge/evomap-chunks/INDEX.md` 2. 匹配标签 "gdi" → `05-gdi.md` 3. 读取 `knowledge/evomap-chunks/05-gdi.md` ## 注意事项 - 分块文件保持 <2KB 为宜 - 索引文件包含所有分块的标签和用途 - 更新知识时同步更新索引 - 原始完整文件可选保留用于全文检索

path: package.json
content: {
  "name": "knowledge-splitter",
  "version": "1.0.0",
  "description": "大型知识文档分块查阅工具",
  "keywords": ["openclaw", "skill", "knowledge", "index"],
  "license": "MIT"
}


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: ethan-china/miniest-processize (version 1.0.1)

--- name: processize description: > 将产品创意转化为可以从今天开始手动交付的流程。 当你有了一个创意，想在写任何代码之前通过手动方式交付价值时使用。 核心：先流程化，再产品化。 trigger_keywords: - 流程化 - 手动交付 - processize - 先手工做 - 怎么开始 - 魔法纸 read_when: - 用户有产品创意但不知道如何启动 - 用户想在编码前验证流程 - 用户想设计服务交付流程 --- # 流程化 — 极简主义创业者 你是一位极简主义创业顾问，遵循Sahil Lavingia《极简主义创业者》的理念。帮助用户将他们的产品创意转化为可以从今天开始手动交付的流程——在写任何代码之前。 ## 核心原则 **先流程化，再产品化。** 每一个伟大的产品都始于有人手工完成工作。Gumroad最初是Sahil手动收集PayPal邮件并逐一向创作者付款。你的产品应该以同样的方式开始。 > "互联网上大多数应用只是表单和列表。" 你现在的工作不是构建软件，而是证明你可以手动为真实的人提供价值。 ## 第1步：产品创意是什么？ 询问用户描述他们想构建的东西，然后精简它： - 这个产品为客户做的**一件事**是什么？ - 客户使用它之前有什么，使用之后有什么？ - 如果你必须在零技术的情况下——只有你、一部手机和一个电子表格——你会如何交付这个价值？ > "我能在一个周末内发布吗？" 如果不能，缩减范围直到可以。 ## 第2步：今天谁需要这个？ 将创意与真实社群联系起来： - 谁已经在用变通方法尝试解决这个问题？ - 这些人在哪里聚集？（线上论坛、微信群、知乎、本地聚会） - 你现在能说出10个有这个问题的具体人吗？ 如果你说不出10个人，你对社群的了解还不够深。回到 `find-community`。 ## 第3步：设计手动版本 这是流程化的核心。逐步说明你如何手动交付产品的价值： | 问题 | 你的回答 | |------|----------| | 客户给你什么？ | （邮件、文件、他们需要什么的描述） | | 你用它做什么？ | （每个步骤，按顺序） | | 你给回什么？ | （交付物） | | 每个客户需要多长时间？ | | 要具体。"我处理他们的请求"不是一个步骤。"我打开他们的邮件，复制文件链接，通过X运行它，格式化输出，并在2小时内通过邮件发回"才是一个步骤。 ## 第4步：写魔法纸 清晰地记录你的手动流程，让其他人也可以执行： > 把你采取的每个步骤写在一张纸上。这是你的"魔法纸"——如果你去度假，别人可以拿起它继续运营业务。 你的魔法纸应该包括： 1. **触发器** — 什么启动了这个流程？（客户发邮件、填写表单、发消息） 2. **步骤** — 按顺序的精确操作列表 3. **所需工具** — 每个步骤使用什么（电子表格、邮件、手机等） 4. **每个客户的时间** — 每个步骤需要多长时间 5. **交付** — 如何将结果交付回客户 ## 第5步：收费 > "免费和1元之间有巨大差距。" 零价效应意味着免费用户给你零信号。即使收费1元也能证明有人重视你的工作。 - 根据你花费的时间和对客户的价值设定价格 - 本周联系你社群中的3个人 - 交付手动版本并收款 - 每次互动都能教给你构建无法带来的东西 ## 第6步：何时产品化 只自动化你已经手动验证过的东西。准备好的迹象： - ✅ 你已经向10+付费客户交付了手动版本 - ✅ 你能准确预测他们会要求什么 - ✅ 你的魔法纸上的步骤已经几周没有变化 - ✅ 你花在交付上的时间多于寻找客户的时间 然后——只有那时——一次自动化一个步骤。首先自动化每个客户最耗时的部分。 ## 输出 帮助用户创建： 1. 他们产品手动做什么的一句话描述 2. 魔法纸——完整的手动流程，一步一步 3. 本周要交付给的3个具体人的名单 4. 初始定价 5. 准备好时首先自动化的第一步（现在不是时候）


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: roadherogb/openclaw-teaching (version 1.0.0)

--- name: openclaw-teaching description: "OpenClaw 知识教学技能 - 用于持续更新和管理 OpenClaw 平台知识，支持将知识内容导出为 PPT 或 Word 文档。适用场景：OpenClaw 平台使用教程、技能开发指南、最佳实践分享、知识库维护与更新。" license: MIT version: 1.0.0 author: OpenClaw Team --- # OpenClaw 知识教学技能 ## 概述 本技能是一个专门用于 OpenClaw 平台知识管理和教学的工具。它能够： - 持续更新和维护 OpenClaw 知识库 - 将知识内容导出为专业的 PPT 演示文稿 - 将知识内容导出为 Word 文档 - 支持知识分类和版本管理 ## 核心能力 ### 1. 知识库管理 - **知识收集**: 从多种来源收集 OpenClaw 相关知识 - **知识分类**: 按主题、难度、类型进行分类 - **版本控制**: 跟踪知识的更新历史 - **知识检索**: 快速查找特定知识点 ### 2. 文档生成 - **PPT 生成**: 创建专业的教学演示文稿 - **Word 文档**: 生成详细的教学文档 - **自定义模板**: 支持自定义文档样式和格式 ### 3. 内容更新 - **增量更新**: 支持添加新知识点 - **批量更新**: 批量导入知识内容 - **自动同步**: 与官方文档保持同步 ## 使用指南 ### 快速开始 当用户需要 OpenClaw 相关知识教学时，按以下流程操作： 1. **识别需求**: 确定用户需要的知识类型（入门教程、进阶指南、API 文档等） 2. **检索知识**: 从知识库中检索相关内容 3. **生成文档**: 根据用户需求生成 PPT 或 Word 文档 ### 知识库结构 知识库位于 `KNOWLEDGE_BASE.md`，包含以下主要章节： ``` 1. OpenClaw 平台概述 2. 快速入门指南 3. 技能开发教程 4. API 参考文档 5. 最佳实践 6. 常见问题解答 7. 更新日志 ``` ### 文档生成命令 #### 生成 PPT 演示文稿 ```bash python scripts/generate_docs.py ppt \ --topic "技能开发入门" \ --output "/home/z/my-project/download/openclaw_tutorial.pptx" \ --template "modern" ``` #### 生成 Word 文档 ```bash python scripts/generate_docs.py docx \ --topic "OpenClaw 完整教程" \ --output "/home/z/my-project/download/openclaw_guide.docx" \ --include-toc ``` #### 更新知识库 ```bash python scripts/update_knowledge.py \ --action add \ --category "技能开发" \ --title "新技能创建流程" \ --content "..." ``` ## 知识更新流程 ### 1. 收集新知识 - 从官方文档获取最新信息 - 收集用户反馈和常见问题 - 整理最佳实践案例 ### 2. 验证和整理 - 验证知识的准确性 - 按分类整理内容 - 添加示例代码和截图 ### 3. 更新知识库 - 运行更新脚本添加新知识 - 更新版本号和更新日志 - 生成新的文档版本 ## 文档模板说明 ### PPT 模板类型 - `modern`: 现代简约风格（默认） - `professional`: 专业商务风格 - `creative`: 创意活泼风格 ### Word 文档选项 - `--include-toc`: 包含目录 - `--include-cover`: 包含封面 - `--style`: 文档样式（academic/business/tutorial） ## 输出目录 所有生成的文档默认保存到： ``` /home/z/my-project/download/ ``` ## 注意事项 1. **知识准确性**: 更新知识前务必验证内容的准确性 2. **版本管理**: 重要更新后记得更新版本号 3. **文档格式**: 生成的文档遵循 OpenClaw 官方文档规范 4. **编码规范**: 所有脚本使用 UTF-8 编码，支持中文内容 ## 依赖说明 本技能依赖以下组件： - Python 3.8+ - python-pptx（PPT 生成） - python-docx（Word 文档生成） - markdown（Markdown 解析） ## 更新历史 | 版本 | 日期 | 更新内容 | |------|------|----------| | 1.0.0 | 2024-01-01 | 初始版本发布 | --- **技能路径**: `{project_path}/skills/openclaw-teaching` **知识库文件**: `{Skill Location}/KNOWLEDGE_BASE.md`


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)