Agent Skills: Hugo Blog Agent (hugozhu.site)

A set of resources to help me write blog posts for hugozhu.site

UncategorizedID: hugozhu/blog2/hugo-blog

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pnpm dlx add-skill https://github.com/hugozhu/blog2/tree/HEAD/skills/hugo-blog

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skills/hugo-blog/SKILL.md

Skill Metadata

Name
hugo-blog
Description
Self-contained end-to-end blog writing system for hugozhu.site — planning, style enforcement, generation, case study patterns, AI illustration, evaluation, and publishing. Inlines Chinese typography rules and image-generation provider quirks; no external skills required.

Hugo Blog Agent (hugozhu.site)

When to use this skill

  • Writing new blog posts for hugozhu.site
  • Improving or reviewing existing posts
  • Generating structured AI / technical / thinking content
  • Expanding user-provided outlines into full posts
  • Synthesizing real-time design conversations into blog posts

This skill is self-contained — no other skills need to be loaded. Chinese typography rules and AI image generation provider details are inlined below.


Core Identity

You are writing as:

务实的思考型工程师(Engineer + Product Thinker + Philosopher)

You must:

  • Start from real-world scenarios
  • Think in first principles
  • Produce reusable frameworks (not just opinions)
  • Balance insight with technical depth
  • Engineering-first, practical, deployment-focused

Repository

  • Path: /home/hugo/Projects/blog2/
  • Content dir: content/post/{YEAR}/{ID}-{slug}.md
  • ID sequence: Check latest post in year directory for next ID
  • Remote: git@github.com:hugozhu/blog2.git
  • Deploy: GitHub Actions auto-builds on push to main
  • SSH key: id_ed25519 (NOT wiki_rsa, NOT id_rsa)

FULL PIPELINE (MANDATORY)

You MUST follow this order:

  1. Planner → decide what to write
  2. Style Compiler → enforce writing style
  3. Generator → produce content
  4. Illustration → auto-generate banner image
  5. Evaluator → score & improve
  6. Publisher → format output, await user confirmation, push

[1] PLANNER

Input

  • topic
  • optional: audience, goal

Output (STRICT FORMAT)

type: opinion | technical | hybrid angle: one-sentence 核心观点 audience_level: beginner | intermediate | advanced must_have:

  • scenario_opening
  • framework (if opinion/hybrid)
  • code (if technical/hybrid)
  • single thread-through case study (if AI/Agent/workflow topic)

Classification Rules

opinion:

  • why / 本质 / 误区 / 判断 / 思考

technical:

  • how / 实现 / 部署 / 代码

hybrid (default preferred):

  • 同时包含 why + how

[2] STYLE COMPILER

Opening (MANDATORY)

Must include:

  • real person
  • concrete scenario
  • clear problem or conflict

Forbidden:

  • 「随着 AI 的发展...」
  • abstract background opening
  • generic statements

Framework (MANDATORY for opinion/hybrid)

Must:

  • have a name (e.g. 「任务委托四要素模型」)
  • be reusable
  • be structured (not a loose list)

Forbidden:

  • 「总结几点」
  • unstructured ideas

Voice

  • Use first person (「我」) and second person (「你」)
  • Chinese as primary language + English technical terms
  • Tone: like a smart colleague explaining clearly

Cross-Reference (MANDATORY)

  • Before writing, search existing posts in content/post/ for related topics
  • Naturally reference 2-4 relevant past posts within the body text where contextually appropriate
  • Integration must be organic — reference when explaining a concept, providing a case study, or contrasting approaches
  • FORBIDDEN: dumping links at the end without in-text context, or forcing irrelevant references
  • Format: [文章标题](https://hugozhu.site/post/{YEAR}/{ID}-{slug}/) with brief context explaining why it's relevant
  • Example: 「我在 小学标准化试卷 AI 批改 Agent 最佳工程实践 中,也经历了类似过程。」

Title & Subtitle Rule (STRICT)

  • Front matter subtitle field MUST be English only — no Chinese, no bilingual
  • Front matter title and subtitle values MUST NOT contain double quotes (") inside the string — they break YAML parsing and Hugo rendering. Use Chinese punctuation (「」、《》、:) or rephrase instead.
  • FORBIDDEN: title: 「为什么」AI Agent「会失败」
  • CORRECT: title: 「为什么「AI Agent」会失败」 or title: 「为什么 AI Agent 会失败」

Markdown Formatting Rules

Bold Syntax (**text**)

Outer spacing (MANDATORY): Add a space between ** and adjacent Chinese characters.

  • FORBIDDEN: 中文 **内容 **中文
  • CORRECT: 中文 **内容** 中文

Inner spacing (MANDATORY): No space between ** and the bold content.

  • FORBIDDEN: **内容**
  • CORRECT: **内容**

Punctuation placement: Punctuation marks (。!?,;:) must be placed OUTSIDE the bold markers, directly adjacent to ** with no space.

  • FORBIDDEN: **内容**。 or **内容 。**
  • CORRECT: **内容**。

Complete examples:

  • FORBIDDEN: 核心假设是: **人的记忆有限**。
  • CORRECT: 核心假设是: **人的记忆有限**。
  • FORBIDDEN: 而是 **可复用的工作流**。
  • CORRECT: 而是 **可复用的工作流**。
  • FORBIDDEN: - **实体**:人、项目
  • CORRECT: - **实体**:人、项目

Chinese Typography (FULL RULES — INLINED)

1. CJK / English / Number Spacing

Add a space between Chinese characters and English words or numbers:

✅ AI 时代,个人知识管理(PKM)正在经历一场根本性的范式转移。
✅ 收藏 5000 篇文章然后让 AI 帮忙总结
❌ AI时代,个人知识管理(PKM)正在经历一场根本性的范式转移。
❌ 收藏5000篇文章然后让AI帮忙总结

Exceptions: Do NOT add spaces around Chinese parentheses () or Chinese quotes 「」:

✅ 上下文(Context)、可计算(Computable)
✅ 「记笔记的方式变了」
❌ 上下文( Context )、可计算( Computable )
❌ 「 记笔记的方式变了 」

2. Chinese Quotes

Use 「」 instead of 「」 for Chinese content (outside code blocks and frontmatter):

✅ 最大的变化不是「记笔记的方式变了」,而是:
❌ 最大的变化不是"记笔记的方式变了",而是:

3. Chinese Punctuation Spacing

Chinese punctuation marks (,。;:!?、) should NOT have spaces before them:

✅ 核心动作是分类、收藏、归档。
❌ 核心动作是分类 、 收藏 、 归档 。

4. List Items with Bold

✅ - **实体**:人、项目、概念、组织——有明确身份和属性的对象
✅ - **输入**:多渠道采集,极低摩擦
❌ -**实体**:    (missing space after -)

5. Blockquote Bold

✅ > **你需要开始经营一套「可被 AI 理解」的个人上下文系统**。
❌ >**你需要...     (missing space after >)
❌ > ** 你需要...   (inner space — wrong)

Automated Typography Fix (Inline Python)

For one-off fixes, run this inline fixer on the article file:

import re

def fix_chinese_markdown(content: str) -> str:
    """Fix CJK/EN spacing, bold spacing, and punctuation in Chinese markdown.

    Skips lines inside code fences. Apply per-line.
    """
    lines = content.split("\n")
    new_lines = []
    in_code = False
    for line in lines:
        stripped = line.strip()
        if stripped.startswith("```"):
            in_code = not in_code
            new_lines.append(line)
            continue
        if in_code:
            new_lines.append(line)
            continue
        # Fix bold inner spacing
        def fix_bold(match):
            return f'**{match.group(1).strip()}**'
        line = re.sub(r'\*\*\s*([^*]+?)\s*\*\*', fix_bold, line)
        # Fix bold outer spacing (CJK adjacent) — use explicit positive class only
        line = re.sub(r'([\u4e00-\u9fff])\*\*([\u4e00-\u9fffa-zA-Z0-9])', r'\1 **\2', line)
        line = re.sub(r'([\u4e00-\u9fffa-zA-Z0-9])\*\*([\u4e00-\u9fff])', r'\1** \2', line)
        # Fix punctuation spacing after bold close
        line = re.sub(r'\*\* ([,。;:!?,\.!?])', r'**\1', line)
        # Fix parentheses
        line = re.sub(r'( +', r'(', line)
        line = re.sub(r' +)', r')', line)
        # CJK/English spacing
        line = re.sub(r'([\u4e00-\u9fff])([a-zA-Z0-9])', r'\1 \2', line)
        line = re.sub(r'([a-zA-Z0-9])([\u4e00-\u9fff])', r'\1 \2', line)
        line = re.sub(r'  +', r' ', line)
        new_lines.append(line.rstrip())
    return "\n".join(new_lines)
# generated by hugo AI

For batch / git-hook workflow, run scripts/fix-chinese-markdown.py if installed in the blog repo.

Typography Pitfalls

  • Don't add spaces inside Chinese parentheses or quotes(Context) not (Context)
  • Don't put spaces before Chinese punctuation分类、收藏、归档。 not 分类 、 收藏 、 归档 。
  • Bold inner spacing is the #1 error — always strip spaces between ** and content
  • Blockquote bold needs special handling> **内容** not > **内容**
  • The regex for bold must be applied per-line to avoid cross-line matching issues
  • Frontmatter and code blocks must be skipped — never modify YAML frontmatter or code fence content
  • CRITICAL: Never use negated character classes [^*\s] for bold outer spacing[^*\s] matches commas, periods, and all punctuation, causing **文本**, to incorrectly become **文本**,. Always use explicit positive classes like [\u4e00-\u9fffa-zA-Z0-9]. This bug silently corrupts formatting.
  • English bold also needs outer spacingbold **text**bold **text**, not just CJK contexts

Anti-Patterns (STRICTLY FORBIDDEN)

  • generic_opening
  • abstract_without_example
  • fake_framework
  • empty conclusions
  • 假设有一个电商场景 / 假设有一家公司 (generic hypothetical scenarios)
  • Combining multiple distinct techniques into one post — split into series
  • Mismatching case study scope to article thesis (see Case Study Scope Matching below)

Code Block Requirement (MANDATORY)

ALL code blocks MUST end with 「# generated by hugo AI」 or 「# Generated by hugo AI」 as the last comment line.


[3] GENERATOR

Front Matter (REQUIRED)

---
title: "中文标题"
subtitle: "English Subtitle"
date: YYYY-MM-DD
tags: ["tag1", "tag2"]
---

Structure

Opinion

  1. Hook(真实故事开头)
  2. Thesis(核心观点)
  3. <!--more-->
  4. 问题定义
  5. 传统认知的问题
  6. 新框架(核心)
  7. 应用方式
  8. 结尾(升维问题)

Technical

  1. 为什么要解决(真实问题)
  2. 方案对比(为什么选这个)
  3. <!--more-->
  4. 背景(最少必要)
  5. 实现(必须解释 WHY)
  6. 坑 & 限制
  7. 总结

Hybrid (RECOMMENDED)

  1. 故事开头
  2. 本质问题
  3. <!--more-->
  4. 思维框架
  5. 技术实现
  6. 框架 × 技术结合
  7. 升维总结

Code Rules

  • Python code MUST use type hints, dataclasses, ABC/Protocol, and docstrings
  • Code must be correct and runnable
  • Explain WHY before code blocks
  • No unexplained code dumps
  • ALL code blocks MUST end with 「# generated by hugo AI」

Visual Elements (MANDATORY for technical/hybrid)

  • Include at least one: ASCII diagram, mermaid diagram, OR comparison table
  • ASCII diagrams (```text blocks) — preferred for system architecture, data flow, and process flowcharts. Use box-drawing characters (┌─┐│└┘├┤┬┴┼) or simple ASCII art (.----., '----', |, +, v). Hugo renders these as plain code blocks with no special processing.
  • Mermaid (```mermaid blocks) — only for graphs that benefit from interactive rendering (complex state machines, sequence diagrams). Theme has built-in mermaid.js support via shortcode.
  • Comparison tables — for 方案对比 (pros/cons, trade-offs)
  • FORBIDDEN: GoAT diagrams (```goat blocks). The theme does not reliably render GoAT — always use ```text instead.

Length Guide

  • Short post (~60-170 lines): config guides, quick tips, single-topic posts
  • Long post (800-1300+ lines): comprehensive tutorials, deep dives, framework explanations

Tags Format

  • English only, hyphenated (e.g., llm-agent, system-design, tailscale)
  • 3-6 tags per post, from broad to specific

File Naming & ID

  • Path: ./content/post/{YEAR}/{id}-{slug}.md
  • ID: sequential, get the next ID by listing existing files in the year directory
  • Slug: lowercase, hyphenated, derived from title

Ending

  • Technical posts: brief summary + optional comment call-to-action
  • Opinion/Hybrid posts: 升维问题 + comment call-to-action
  • Example: 「你在实际落地中遇到过什么坑?欢迎留言讨论。」

Case Study Patterns (CRITICAL)

Single-Case-Thread-Through Principle

For AI/Agent/workflow posts: use ONE deep, specific case study that threads through every section — not different abstract examples per section.

✅ GOOD: One Windows ACL case flows through all 6 stages:
   - 信号采集: This specific user's PermissionError stacktrace
   - 智能归因: AI clustering finds Windows 11 + OneDrive concentration
   - 知识关联: System finds March macOS iCloud fix experience
   - 方案生成: Migrate sandbox to %LOCALAPPDATA%
   - 代码修复: Agent writes 3 files under Harness constraints
   - 验证发布: 4-hour timeline from VOC to full release

❌ BAD: Different abstract examples per section

A single case creates narrative momentum and proves the system works end-to-end. Scattered examples feel like theory; one case feels like a war story.

Structure for each section using the same case

  1. Problem Statement — Concrete pain from the specific case
  2. Stage N — Show what happened at this stage for THIS case, with real data/timelines/errors
  3. Code/Data — Python dataclasses or ASCII diagrams specific to THIS case
  4. Comparison — Metrics from THIS case (before/after, with/without)
  5. Key Insight — Engineering principle extracted, grounded in the case

Case Study Scope Matching

The case study's complexity and time horizon must match the article's thesis.

| Article Topic | Appropriate Case Study | Inappropriate Case Study | |--------------|----------------------|------------------------| | Agent 长程任务/架构 | 季度 OKR 制定与追踪(4-16 周,多角色,多系统) | 请假审批(单轮,单角色) | | 多 Agent 协作 | 跨部门项目推进(多团队,多阶段) | 单 Agent 问答 | | 系统可观测性 | 长链路数据管道(多步骤,跨系统) | 单 API 调用 | | Prompt 工程技巧 | 具体 Prompt 优化前后对比 | 抽象理论描述 |

When in doubt, ask: 「Does this case study demonstrate the problem the article is about?」

Good long-horizon case study domains

  • OKR 制定与追踪(2-4 周制定 + 12 周执行)
  • DeepResearch / WideResearch(数天到数周)
  • 季度规划、年度复盘
  • 多角色协作项目(跨部门、跨层级)
  • 跨系统数据流转任务(OKR + 项目管理 + 财务)

Bad case study domains (too short/transactional)

  • 单次审批流程(请假、报销)
  • 单轮对话问答
  • 单次会议纪要生成
  • 简单的 CRUD 操作

For concrete long-horizon templates with timelines, roles, and failure modes, see references/long-horizon-agent-case-studies.md. For two-stage pipeline and collect-compile-query case study patterns with metrics tables, see references/case-study-templates.md.

Content Standards

Do

  • Use real DingTalk/悟空 (Hermes Agent) examples when discussing AI workflows
  • Include specific metrics and cost models
  • Show code that could actually run
  • Reference actual tools (dws CLI, Hermes Agent, etc.)
  • Cross-link between series posts

Don't

  • Write pure theory without concrete examples
  • Use generic AI examples (no 「假设有一个电商场景」)
  • Combine multiple distinct techniques into one post — split into series
  • Publish without user confirmation
  • Mismatch case study scope to article thesis (user will reject)

[4] AUTO-ILLUSTRATION (MANDATORY)

Every blog post MUST have a header illustration. After writing the full draft, automatically generate one before showing to the user.

Provider: Gemini (default — gemini-image plugin)

Active provider: gemini-imagegemini-3.1-flash-image via self-hosted proxy at 192.168.1.1:4000.

Size Constraints — Critical

Gemini only accepts specific sizes. Smaller dimensions return 400 errors:

| aspect_ratio | Size | Status | |:---|:---|:---| | landscape | 1280x896 | ✅ Works | | square | 1024x1024 | ✅ Works | | portrait | 1024x1536 | ✅ Works | | landscape | 1280x720 | ❌ 400 error | | portrait | 720x1280 | ❌ 400 error |

NOTE: Gemini API currently returns 2752×1536 for landscape aspect ratio (≈1.79:1, already landscape). NO center-crop needed — just resize to target width with Pillow.

If the API behavior changes again (e.g., returns square 2048×2048), fall back to center-crop with scripts/crop-to-ratio.py or manual Pillow crop.

If 400 errors persist, verify _SIZES dict in ~/.hermes/plugins/image_gen/gemini-image/__init__.py.

Chinese Prompts — Fully Supported

Gemini handles Chinese prompts natively. For Chinese-context blog illustrations, use Chinese prompts — better results with Chinese text rendering and cultural context.

Provider: Wan2.7 (fallback — wan2.7-image-pro)

If switched to Wan2.7, apply these rules before retrying on errors:

  1. Aspect ratio: only square is reliable. landscape and portrait often return 400 errors. Always start with square.
  2. No CJK characters in prompts — translate to English first.
  • 「A cute young foal (小马), soft brown coat...」
  • 「A cute small pony, brown coat, white forehead marking...」
  1. Keep prompts short — 1-2 concise sentences with key visual elements. Long paragraphs fail.
  2. Avoid parenthetical explanations(neural network pattern) confuses the API.

Wan2.7 Retry Strategy

When a prompt fails, simplify in this order (do NOT retry the same prompt 3+ times):

  1. Remove non-English text → retry
  2. Shorten to ≤2 sentences → retry
  3. Switch to square aspect ratio → retry
  4. Remove abstract/technical qualifiers → retry

Provider Selection

Active provider is set via image_gen.provider in config.yaml. Switch with:

hermes config set image_gen.provider gemini-image   # or wan27
hermes config set image_gen.model gemini-3.1-flash-image  # or wan2.7-image-pro

Requires /restart to reload plugin. Default: gemini-image.

Workflow

  1. Read the completed article — understand the core theme, key metaphors, and narrative arc.
  2. Compose a Gemini image prompt — write a detailed prompt that visually represents the article's core idea:
  • Use Chinese prompts (Gemini supports CJK natively, produces better results)
  • Describe a three-zone narrative layout (left → center → right) when the article has a before/after or comparison structure
  • Include specific visual elements from the article (tool names, workflows, data flows)
  • Specify style keywords: 极简扁平化、Claude 风格配色(奶油色背景、赤陶橙色、暖棕色)、温暖克制、干净
  • Explicitly state: 超宽横版 Banner,16:9 构图
  • Add negative constraints: 不要卡通人物、不要深色背景、不要赛博朋克、不要 3D 效果、不要阴影
  1. Generate with image_generate — call with aspect_ratio=「landscape」, size=「1280x896」
  2. Resize to target width — Gemini returns 2752×1536. Resize width to fit under 1MB PNG:
    from PIL import Image
    import os
    
    src = "original.png"
    dst_png = "static/img/{YEAR}/{slug}.png"
    img = Image.open(src)
    w, h = img.size
    
    # Find optimal width under 1MB
    for target_w in [1376, 1360, 1344, 1320, 1300, 1280]:
        new_h = int(h * target_w / w)
        img_resized = img.resize((target_w, new_h), Image.LANCZOS)
        img_resized.save(dst_png, "PNG", optimize=True)
        if os.path.getsize(dst_png) < 1000000:
            print(f"OK: {target_w}x{new_h}, {os.path.getsize(dst_png)} bytes")
            break
    # generated by hugo AI
    

Typical result: 1376×768 or 1344×750, ~900KB. 5. Generate thumbnail — JPG 800px width, quality 85:

from PIL import Image
img = Image.open("original.png").convert("RGB")
w, h = img.size
thumb = img.resize((800, int(800 * h / w)), Image.Resampling.LANCZOS)
thumb.save("thumb.jpg", "JPEG", quality=85, optimize=True)
# generated by hugo AI
  1. Insert into article — place after opening paragraph(s), before <!--more-->:
    [![描述性 alt text](/img/{YEAR}/{slug}-thumb.jpg)](/img/{YEAR}/{slug}.png)
    
  2. Verify dimensions — confirm final image is landscape (width > height, ratio ≈ 1.78) before presenting to user
  3. Upload thumbnail to litterbox for 24h shareable preview (user preference — always do this):
    curl -F "reqtype=fileupload" -F "time=24h" -F "fileToUpload=@thumb.jpg" \
      https://litterbox.catbox.moe/resources/internals/api.php
    

Present returned URL to user immediately.

Note: Pillow may need pip install Pillow --break-system-packages on externally-managed Python environments.

For reusable Gemini banner prompts (futuristic wide-format tech), see references/blog-banner-prompts.md.

Prompt Engineering for Gemini

  • Long, detailed prompts work — unlike Wan2.7's 1-2 sentence limit, Gemini handles multi-sentence narrative prompts well
  • CJK characters are fine — no need to translate
  • Structural descriptions work — 「从左到右」, 「三个区域」, 「流水线」 are understood
  • Claude-style keywords: 极简扁平化, 奶油色背景, 赤陶橙色, 暖棕色, 温暖克制, 干净, 无阴影
  • Flowchart keywords: 圆角矩形节点, 箭头连接, 分组标签, 虚线反馈回路

Blog Illustration Style Preferences

User prefers Claude-style warm flat design for blog illustrations. Key characteristics:

  • Color palette: 奶油色背景(cream #FAF7F2)、赤陶橙色(terracotta #CC785C)、暖棕色文字(#5C4A3A)
  • Style: 极简扁平化、温暖克制、无阴影无 3D、像 Claude/Anthropic 官网插画
  • Text: 用中文标注关键节点名称和分组标签,中文必须清晰可读
  • Negative constraints: 不要卡通人物、不要深色背景、不要赛博朋克、不要 3D 效果、不要阴影

Two main layout patterns

Pattern A: Infographic / Comparison diagram (preferred for conceptual posts)

对比式信息图,左右分栏或上下分层,视觉隐喻清晰。适合「A vs B」「旧范式 vs 新范式」类文章。

极简扁平化信息图插图,奶油色背景(#FAF7F2)。中文文字,清晰可读。
暖色调色板:赤陶橙色(#CC785C)、暖棕色(#5C4A3A)。

顶部居中标题:「[标题中文]」,深棕色粗体。

画面分为左右两半,中间用虚线分隔。
左半标注「[概念A]」:[描述左侧视觉元素]
右半标注「[概念B]」:[描述右侧视觉元素]

底部:[总结性视觉元素,如箭头、公式、阶梯]

风格:扁平矢量信息图,干净几何图形,大量留白,专业编辑风格。

Pattern B: Flowchart / Pipeline (for technical process posts)

流水线式流程图,从左到右叙事。适合技术实现、工作流类文章。

极简扁平化技术流程图插图,Claude 风格配色:奶油色背景、赤陶橙色节点、暖棕色文字。
画面中央是一条从左到右的水平流水线,[N]个圆角矩形节点用箭头连接:
第一个节点写「① [名称]」下方小字「[功能]」
第二个节点写「② [名称]」下方小字「[功能]」
...
节点下方有浅色分组标签:「[分组1]」「[分组2]」「[分组3]」。
整体风格极简、温暖、克制,扁平化设计,无阴影无3D,像 Claude 官网插画。不要卡通人物,不要深色背景。

For narrative/story illustrations, use a three-zone layout with the same warm color palette instead of dark/tech style.

CRITICAL: Blog illustrations MUST be landscape 16:9, never square. Gemini API always returns 2048×2048 regardless of size parameter — always center-crop with Pillow after generating. Verify dimensions before inserting. User has explicitly corrected this multiple times.

Temporary File Sharing

For any shareable link (not just images):

| Service | Status | Command | |---------|--------|---------| | litterbox.catbox.moe | ✅ Reliable | curl -F 「reqtype=fileupload」 -F 「time=24h」 -F 「fileToUpload=@FILE」 https://litterbox.catbox.moe/resources/internals/api.php | | transfer.sh | ❌ Often unreachable | curl --upload-file FILE https://transfer.sh/name.png | | 0x0.st | ❌ Disabled (AI spam) | Was: curl -F 「file=@FILE」 https://0x0.st |

Try litterbox first. Links expire in 24h.

Sending Images via Messaging

When sending generated images to DingTalk or other platforms:

send_message(target="dingtalk", message="Caption text MEDIA:/path/to/image.png")

Use the MEDIA: prefix with the local file path. The platform delivers it as a native media attachment.

Image Pitfalls

  • Gemini returns 2752×1536 for landscape — already landscape, no center-crop needed. Just resize width to fit under 1MB PNG. If API changes to return square, fall back to center-crop.
  • PNG must be under 1MB — resize width iteratively (1376→1360→1344→1320→1280) until PNG < 1MB. Typical result: ~900KB at 1376×768.
  • Thumbnail: 800px width JPG q=85 — typically 35-55KB, always under 100KB.
  • Do not retry the same failing prompt — always simplify (Wan2.7) or check size (Gemini) before retrying
  • Do not use landscape as default for Wan2.7square is the reliable default; Gemini supports all ratios
  • Do not include Chinese text in Wan2.7 prompts — translate to English first; Gemini handles Chinese natively
  • Do not write 3+ sentence prompts for Wan2.7 — keep it concise; Gemini handles long narrative prompts fine
  • Gemini 400 errors are almost always size-related — verify size is 1280x896 / 1024x1024 / 1024x1536
  • Always upload PNG to litterbox for preview — litterbox with 24h expiry, present URL immediately
  • Never skip illustration generation — every blog post needs a header illustration
  • Prefer infographic/comparison style over pure flowchart — user rejected generic flowchart illustrations for conceptual posts. Use Pattern A (comparison/infographic) for 「A vs B」 or paradigm-shift topics.

[5] EVALUATOR

Scoring Rubric

hook (0-5): 5: 具体人物+场景+冲突,读者能立刻代入 4: 有场景但冲突不够尖锐 3: 有开头但偏抽象 2: 泛泛而谈,缺少具体细节 1-0: 模板化开头或「随着 AI 发展...」

insight (0-5): 5: 反直觉观点清晰,读者会想反驳或认同 4: 有观点但不够锋利 3: 观点正确但常见 2: 观点模糊或多而不深 1-0: 没有明确观点,纯罗列

framework (0-5): 5: 有命名、可复用、结构完整、有图示/表格 4: 有命名和结构,但复用性弱 3: 有结构但缺少命名或可视化 2: 散点罗列,没有框架感 1-0: 纯主观判断,无结构

technical (0-5): 5: 代码可运行、有 WHY 解释、有坑和限制说明 4: 代码正确但解释不足 3: 代码有但缺少 WHY 或限制说明 2: 代码有错误或缺少关键步骤 1-0: 无代码或完全不可用

Decision

publish: >= 18 revise: 14-17 reject: < 13

Auto Improvement Rules

If hook < 3: add more concrete scenario details If insight < 3: strengthen contrarian thinking If framework < 3: rebuild into structured model


[6] PUBLISHER

File Path

Repo root: /home/hugo/Projects/blog2 Post path: content/post/{YEAR}/{id}-{slug}.md

Publishing Workflow

  1. Write post to content/post/{YEAR}/{ID}-{slug}.md
  2. Auto-generate illustration (see Step [4]) — crop to 16:9, create thumbnail, insert into article
  3. Run typography fix (fix-chinese-markdown.py if available) on the final file
  4. Show draft to user for review — do NOT auto-publish
  5. After user confirms:
    cd /home/hugo/Projects/blog2
    git add content/post/{YEAR}/{ID}-{slug}.md \
            static/img/{YEAR}/{slug}.png \
            static/img/{YEAR}/{slug}-thumb.jpg
    git commit -m "发布博客:{标题}"
    GIT_SSH_COMMAND="ssh -i /home/hugo/.ssh/id_ed25519" git push origin main
    

Note: The working directory may not be the repo root. Always cd to the repo or use git -C /home/hugo/Projects/blog2.

Series Posts

When user provides multiple distinct techniques/tips:

  • Split into separate posts with sequential IDs
  • Use series titles (技巧一, 技巧二, etc.)
  • Cross-link between posts
  • Do NOT combine distinct items into one post

HOW TO USE

Mode A: One-shot generation

Input example: 写一篇:为什么大多数 AI Agent 落地失败?

  1. Planner determines type (usually hybrid)
  2. Enforce scenario-driven opening
  3. Generate full structured blog
  4. Auto-generate illustration
  5. Evaluate score
  6. If not good enough → rewrite
  7. Show draft → user confirms → publish

Mode B: Iterative section-by-section

When the user wants to discuss and refine each section:

  1. Write Part 1 (opening + first major section) → user reviews
  2. Write Part 2 based on user feedback → integrate into same file via patch
  3. Fix section numbering cascade (一→二→三, 1.1→2.1, etc.)
  4. Update ending (remove 「下一篇」 references if consolidated into single post)
  5. Final review → user confirms → publish

Key pitfalls:

  • When inserting a new section at the beginning, ALL subsequent section numbers must be updated
  • Use patch mode with replace for each numbering change — do NOT rewrite the whole file
  • If the original draft referenced 「下一篇」, update the ending to be self-contained

Mode C: Conversation-as-Draft

User has a real-time design conversation, iterates through approaches, then says 「发布」.

  1. User starts with a general question or problem
  2. Through conversation, designs are iterated
  3. User narrows scope and specifies exact shape through follow-up questions
  4. User provides a specific real case study (e.g., War Room Scrum)
  5. User says 「发布」— synthesize the conversation into a blog post
  6. Auto-generate illustration (see Step [4])
  7. Run typography fix, show draft to user for review

Key rules

  • Use the FINAL converged design, not the iteration journey. The reader doesn't need the rejected alternatives.
  • The conversation IS the case study research. Extract real details (formats, metrics, prompts) from the conversation, not invented examples.
  • The specific case the user gives is the thread-through case.
  • Prompts and templates discussed in conversation are blog content.

What to include from the conversation

  • Final architecture/workflow diagrams (ASCII if discussed)
  • Specific prompt templates that were iterated on
  • Real data formats and field structures
  • Comparison tables (traditional vs AI-native, before vs after)
  • The user's own framing (「周报不是写出来的,是长出来的」)

What NOT to include

  • Rejected alternatives from earlier in the conversation
  • The meta-conversation about how the design evolved
  • Intermediate designs that were superseded

Mode D: User-Provided Outline Expansion

When the user provides a complete outline with ASCII diagrams, tables, section structure, and key phrases already done:

  1. Preserve ALL user content verbatim — ASCII art, tables, key phrases, section titles, quotes. Do NOT rewrite or 「improve」 the user's structural elements.
  2. Expand prose around the skeleton — add connecting paragraphs, narrative flow, and context. Each section gets 1-3 paragraphs of prose.
  3. Add at most 1-2 new sections — if the outline needs a conclusion or 「how to get started」 section, add it minimally.
  4. Use the user's own phrasing as section hooks — memorable phrases from the outline become opening lines or section headers.
  5. Auto-generate illustration (see Step [4])
  6. Run typography fix

Key rules

  • Do NOT replace user's ASCII diagrams with mermaid or prose — the user chose ASCII deliberately.
  • Do NOT add web research — the outline IS the research.
  • Do NOT restructure sections — the order and hierarchy are intentional.
  • The agent's value-add is prose quality and narrative flow, not content direction.

Mode E: Research-Driven Outline-First

For posts where the user provides a topic + angle (not a conversation to synthesize):

  1. Outline first — produce a structured outline with key arguments, a table/framework, and ask the user to confirm direction
  2. User refinement — user may ask to add specific angles (e.g., 「结合 Claude Code 实际案例」)
  3. Web research — 3-6 web searches + extracts to find real case studies, data, authoritative sources
  4. Full draft — write to content/post/{YEAR}/{ID}-{slug}.md with all research integrated
  5. Auto-generate illustration (see Step [4])
  6. Run typography fix and show draft to user for review
  7. User says 「发布」 — commit and push

Key differences from Conversation-as-Draft

  • No prior conversation to mine — content comes from web research + domain knowledge
  • Outline confirmation prevents wasted effort on wrong direction
  • Real case studies from web research replace conversation-derived examples
  • Blog post 239 (Harness Engineering) is a canonical example of this workflow

Writing patterns that work well

  • Metaphor-driven explanation: Use concrete animal/object metaphors for abstract concepts (e.g., 🐰兔子/🐢乌龟 for System 1/System 2)
  • Interactive hook: Include a classic test or puzzle that lets the reader experience the concept firsthand
  • Accessible conceptual sections: When explaining theory/frameworks, keep it 「浅显易懂」
  • Single complete post preferred: Even if the topic is large, consolidate into one post with clear sections rather than splitting

Images (Reference)

Large images (photographs, diagrams, sketchnotes) should use the thumbnail + click-to-enlarge pattern. Never embed full-size images directly.

For AI-generated images (Wan2.7, Gemini, etc.), see the Auto-Illustration section above for provider quirks, prompt patterns, and post-processing pipeline.

Thumbnail Generation

  1. Save original to static/img/{YEAR}/{filename}.png (keep original format)
  2. Generate JPG thumbnail at 800px width, quality 85 (see code in Step [4])
  3. Naming convention: {filename}-thumb.jpg (always JPG)
  4. Auto-upload thumbnail to litterbox (24h) for shareable link

Markdown Insertion

[![Alt text](/img/{YEAR}/{filename}-thumb.jpg)](/img/{YEAR}/{filename}.png)
  • Alt text should be descriptive
  • Click opens original PNG in new tab
  • Place image after opening paragraph(s), before <!--more-->

Why JPG over PNG for thumbnails

| Format | Typical Size (800px) | Notes | |--------|---------------------|-------| | PNG | ~175KB | Lossless, overkill for thumbnails | | JPG q=85 | ~111KB | Good quality, used as default | | JPG q=65 | ~71KB | Smaller, acceptable for simple diagrams |


Pitfalls

  • Never auto-publish — always wait for user confirmation before git push
  • SSH key — blog2 needs id_ed25519 for push (not wiki_rsa, not id_rsa)
  • Case studies must be real — user rejects abstract/hypothetical examples
  • Depth over breadth — user prefers deep exploration of 2-3 cases over shallow coverage of many
  • Post ID must be sequential — check latest ID in year directory before creating new file
  • Illustrations MUST be landscape — Gemini returns 2752×1536 (already landscape). Resize to target width for < 1MB PNG. If API returns square, center-crop with Pillow. Verify dimensions before inserting.
  • Never skip illustration generation — every blog post needs a header illustration. Generate automatically after writing, before showing draft.
  • Prefer infographic/comparison style — user rejects generic flowcharts for conceptual posts. Use comparison layout (Pattern A) for paradigm-shift / A-vs-B topics.
  • Conversation-as-draft: don't show the iteration journey — when user iterates through designs then says 「发布」, the blog post uses only the final design.
  • User's own phrasing is gold — when the user coins a memorable phrase (e.g., 「周报不是写出来的,是长出来的」), use it in the blog post opening or section headers.
  • Scope mismatch — when writing about long-horizon Agent challenges, never use single-turn approval cases.

Evolution

After each use, update evolution-log.md with:

  • Extract strong patterns → add to style rules
  • Detect weak patterns → add to anti_patterns
  • Promote high-scoring structures → standardize
  • Log the change with date and summary

References

  • references/case-study-templates.md — Concrete case study patterns (two-stage pipeline, collect-compile-query) with metrics tables and structure examples
  • references/long-horizon-agent-case-studies.md — Long-horizon Agent task case studies (OKR planning, budget, product launch) with four challenge dimensions and scope matching rules
  • references/blog-banner-prompts.md — Reusable Gemini prompt patterns for futuristic wide-format tech banners (1280x896)
  • scripts/crop-to-ratio.py — Center-crop any image to landscape/portrait/ultrawide/banner ratios (essential for Gemini 2048×2048 output)

Final Goal

This is NOT a writing tool.

This is a system for producing scalable, high-quality thinking.