Best use case
CNBLOGS 精华内容抓取技能 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## 功能描述
Teams using CNBLOGS 精华内容抓取技能 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cnbblogs-pick/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How CNBLOGS 精华内容抓取技能 Compares
| Feature / Agent | CNBLOGS 精华内容抓取技能 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## 功能描述
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# CNBLOGS 精华内容抓取技能
## 功能描述
抓取博客园（cnblogs.com）精华区内容，支持分页、批量下载标题和正文。
## 使用方法
### 基本用法
```bash
# 抓取第 1 页，保存所有文章到指定目录
openclaw cnblogs-pick --page 1 --output-dir /path/to/output
# 抓取前 3 页，保存所有文章
openclaw cnblogs-pick --pages 3 --output-dir /path/to/output
# 抓取指定 URL 的精华列表
openclaw cnblogs-pick --url https://www.cnblogs.com/pick/ --pages 2
```
### 参数说明
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|------|------|------|--------|------|
| `--url` | string | 否 | https://www.cnblogs.com/pick/ | 精华列表页 URL |
| `--page` | int | 否 | 1 | 单页抓取页数（仅当 --pages 未指定时有效） |
| `--pages` | int | 否 | 1 | 总页数（优先于 --page） |
| `--output-dir` | string | 否 | ~/.openclaw/workspace/user_cnglobs/ | 输出目录 |
| `--agent` | string | 否 | Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:149.0) Gecko/20100101 Firefox/149.0 | User-Agent |
### 输出格式
每篇文章保存为独立文件，命名格式：
```
{标题}.txt
```
标题中的特殊字符会被替换为下划线。
## 工作流程
1. **获取列表页**：使用 curl 下载指定页数的精华列表
2. **提取链接**：解析 HTML，提取所有 `post-item-title` 类链接
3. **下载详情**：逐个打开详情页面
4. **提取正文**：获取 `cnblogs_post_body` 内容并去除 HTML 标签
5. **保存文件**：按标题命名保存到输出目录
## 示例
```bash
# 抓取前 5 页精华内容
openclaw cnblogs-pick --pages 5 --output-dir /tmp/cnb-pick
# 查看结果
ls -lh /tmp/cnb-pick/
```
## 依赖工具
- `curl` - HTTP 请求
- `grep -oP` - Perl 正则表达式
- `sed` - 文本处理
## 注意事项
1. 部分文章可能因反爬机制失败
2. 大页面可能超出 token 限制
3. 建议先测试单页再批量处理
## 更新日志
- v1.0.0: 初始版本，支持单页抓取
- v1.1.0: 支持多页批量抓取
- v1.2.0: 优化错误处理和日志输出Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成（播客、视频、幻灯片、测验、思维导图等）、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述