CSDN Blog Writer & Publisher

Generate high-quality technical blog posts in Markdown format for CSDN.

Workflow Modes

Mode 1: Single Post (Full Workflow)

1. Research → 2. Write Draft → 3. Open CSDN Editor → 4. Import & Configure → 5. Publish

Use this when user asks to write AND publish ONE specific blog post.

Mode 2: Series/Batch Posts (Write Only)

1. Research → 2. Write Draft → 3. Save to Output Directory

Use this when user asks to create multiple posts or a blog series. User handles publishing manually.

---

Step 1: Research Content

Gather authoritative sources using web_fetch:

# Recommended sources by topic
SOURCES = {
    "ai_agent": [
        "https://github.com/WooooDyy/LLM-Agent-Paper-List",
        "https://arxiv.org/abs/2309.07864",  # Agent Survey
        "https://github.com/langchain-ai/langchain",
    ],
    "llm": [
        "https://github.com/Hannibal046/Awesome-LLM",
        "https://arxiv.org/list/cs.CL/recent",
    ],
    "general": [
        "https://github.com/trending",
        "https://news.ycombinator.com",
    ]
}

Fetch and extract key information:

web_fetch(url, extractMode="markdown", maxChars=50000)

Step 2: Write Blog Draft

2.1 Blog Structure

Follow the format in references/blog-format.md.

Essential elements:

• 📑 Table of contents with emoji section headers
• 💡 "思考" (Thought) questions for reader engagement
• 📊 Comparison tables (use bullet lists for Discord/WhatsApp compatibility)
• 💻 Code examples with syntax highlighting
• 📚 Numbered references [1], [2], [3]...
• ASCII diagrams for architecture illustrations
• ⚠️ MUST end with "## 参考文献" (References) section

Target: 10,000-20,000 Chinese characters for comprehensive posts.

2.2 Title Format

For series posts:

【{Series}篇】{Number}：{Title}

Example:

【Agents篇】04：Agent 的推理能力——思维链与自我反思

2.3 Content Guidelines

1. Opening: Hook with a relatable scenario or question
2. Body:
   • Use hierarchical headings (##, ###)
   • Include 💡思考/🤔解答 pairs for engagement
   • Add code examples with explanations
   • Use ASCII art for diagrams (CSDN renders these well)
3. Closing:
   • Summary + future outlook
   • MUST include "## 参考文献" as the final section

---

Mode 1 Only: CSDN Publishing Steps

Skip this section for batch/series posts

Step 3: Open CSDN Editor & Import

# Navigate to CSDN Markdown editor
browser(action="open", profile="openclaw", targetUrl="https://editor.csdn.net/md?not_checkout=1")

# Import content via file upload or paste

Step 4: Configure & Publish

1. Set Title (5-100 characters)
2. Upload Cover Image (from Pixabay or similar free source)
3. Add Tags (e.g., "人工智能")
4. Generate Summary (AI extract or manual, 256 chars max)
5. Click Publish

Step 5: Verify Publication

• Check URL changed to article page
• Verify content is complete (not truncated)
• Note the article URL for records

---

Mode 2 Only: Save Output

For series/batch posts, save to the specified output directory:

# Default output directory
OUTPUT_DIR = "/home/jianxiong/doc"

# Filename format
filename = f"{Series}_{Number:02d}_{ShortTitle}_Blog.md"

# Example
# Agents_04_Reasoning_Blog.md

User will manually publish these files to CSDN.

---

Output Checklist

For All Posts:

• [ ] Blog content is 10,000-20,000 characters
• [ ] Has table of contents
• [ ] Has at least 5 major sections
• [ ] Includes code examples
• [ ] Ends with "## 参考文献" section
• [ ] Saved to output directory

For Single Post (Mode 1) Only:

• [ ] Cover image uploaded
• [ ] Tags configured
• [ ] Article published to CSDN
• [ ] Article URL obtained

---

Series: Agents 专栏

Based on LLM-Agent-Paper-List:

| # | Title | Key Topics | Status | |---|-------|------------|--------| | 01 | AI Agent 的崛起 | 综述、架构 | ✅ | | 02 | Agent 的大脑 | LLM核心能力 | ✅ | | 03 | Agent 的记忆系统 | Memory, RAG, MemGPT | ✅ | | 04 | Agent 的推理能力 | CoT, ToT, Self-Refine | ✅ | | 05 | Agent 的规划能力 | ReAct, Plan-and-Execute | ✅ | | 06 | Agent 的感知模块 | 多模态输入 | ✅ | | 07 | Agent 的行动模块 | Tool Use, Embodied | ✅ | | 08 | 单智能体应用 | 代码、研究、游戏 | ✅ | | 09 | 多智能体协作 | CAMEL, ChatDev | ✅ | | 10 | 人机协作 | Human-in-the-Loop | ✅ | | 11 | LangChain & LangGraph | 框架深度解析 | ✅ | | 12 | AutoGen | 多智能体对话 | ✅ | | 13 | MetaGPT | 软件公司模式 | ✅ | | 14 | CrewAI | 角色团队协作 | ✅ | | 15 | 实战：构建Agent | 从零搭建 | ✅ | | 16 | Agent 训练 | RLHF, AgentGym | ✅ | | 17 | Agent 评估 | Benchmarks | ✅ | | 18 | Agent 社会 | 行为、人格模拟 | ✅ | | 19 | 具身智能 | 机器人控制 | ✅ | | 20 | Agent 的未来 | 挑战与展望 | ✅ |

Resources

• references/blog-format.md - Blog structure guide
• assets/blog-template.md - Starter template