---

name: blog-polish-zhcn-images description: Polish a technical blog draft into an 1000–1200 word, 4-5 section zh-CN article, preserve technical terms/code, and generate consistent hero + per-section image prompts when the user asks to polish and translate a blog with images. author: Jeff Yang version: 1.0.6 tags: [openclaw, clawhub, blog, polish, translate, zh-cn, markdown, images, prompts] metadata: openclaw: requires: [] platforms: ["linux", "darwin"] env: [] inputSchema: type: object properties: draftPath: type: string description: Path to the draft markdown. Defaults to ~/.openclaw/workspace/contentDraft/latestDraft.md outputDir: type: string description: Directory to save outputs. Defaults to ~/.openclaw/workspace/contentPolished/ subject: type: string description: Short subject slug used in output filename (e.g. openclaw-skills). If omitted, infer from the draft title. style: type: string description: Visual style phrase reused for ALL images (e.g. "clean flat vector illustration, minimal isometric"). background: type: string description: Background phrase reused for ALL images (e.g. "white background with subtle grid"). aspectRatioHero: type: string description: Aspect ratio for hero image (e.g. "16:9 horizontal"). aspectRatioSection: type: string description: Aspect ratio for section images (e.g. "4:3"). required: [] outputSchema: type: object properties: polishedPath: type: string description: Path to the final polished markdown file. imagePaths: type: array description: Paths of generated images (or intended filenames if only prompts were produced). imagePrompts: type: array description: Single-line prompts (hero + per section), same order as imagePaths. workflow:

• name: init description: Resolve defaults and create timestamp run: | draftPath="${input_draftPath:-$HOME/.openclaw/workspace/contentDraft/latestDraft.md}" outputDir="${input_outputDir:-$HOME/.openclaw/workspace/contentPolished}" mkdir -p "$outputDir" ts=$(date +"%H%M") echo "Resolved paths:" echo " draftPath=$draftPath" echo " outputDir=$outputDir" echo " timestamp=$ts" save_state draftPath outputDir ts

• name: read_draft description: Read the draft content run: | draftPath=$(load_state draftPath) content=$(cat "$draftPath") save_state content

• name: polish_and_translate description: Simulate polishing and translation to zh-CN run: | outputDir=$(load_state outputDir) ts=$(load_state ts) content=$(load_state content) polished_content="## Polished & Translated (zh-CN)\n$content\n\n(translation simulated)" polishedPath="$outputDir/${ts}-polished.md" echo -e "$polished_content" > "$polishedPath" save_state polishedPath

• name: generate_image_prompts description: Create hero and per-section image prompts run: | outputDir=$(load_state outputDir) ts=$(load_state ts) imagePaths_json=$(printf '%s\n'
  "$outputDir/${ts}-main.png"
  "$outputDir/${ts}-section1.png"
  "$outputDir/${ts}-section2.png"
  | jq -R . | jq -s .) imagePrompts_json=$(printf '%s\n'
  "Hero of blog: minimal isometric tech scene in clean vector style, 16:9"
  "Section 1: developer editing markdown in flat vector, white grid background, 16:9"
  "Section 2: translation workflow diagram, clean flat vector style, 16:9"
  | jq -R . | jq -s .) save_state imagePaths_json imagePrompts_json

• name: finalize description: Emit final structured output for OpenClaw collector run: | polishedPath=$(load_state polishedPath) imagePaths_json=$(load_state imagePaths_json) imagePrompts_json=$(load_state imagePrompts_json) jq -n
  --arg polishedPath "$polishedPath"
  --argjson imagePaths "$imagePaths_json"
  --argjson imagePrompts "$imagePrompts_json"
  '{ polishedPath: $polishedPath, imagePaths: $imagePaths, imagePrompts: $imagePrompts }'

---

Blog Polish (zh-CN) + Image Pack

This skill takes a technical blog draft and turns it into a publish-ready package:

• Polish: spelling/grammar fixes + clarity improvements
• Structure: reorganize into 3–4 sections total (not more)
• Length: final content 1000–1200 words
• Translation: English → Simplified Chinese, while preserving:
  • technical terms like skills, plugin, openclaw, clawhub
  • code blocks and commands (no translation inside code fences)
  • inline code spans (backticks) as-is unless obviously wrong
• Images: generate a hero prompt + one prompt per section, all in the same style/tone
• Save: write everything to ~/.openclaw/workspace/contentPolished/ using yymmddhhmm-* naming

When to Use This Skill

When the user asks to polish a technical blog, translate it to Simplified Chinese, and create images, you MUST use this skill and follow the workflow below step by step.

Use this when:

• You already have a draft at ~/.openclaw/workspace/contentDraft/latestDraft.md
• You want a polished zh-CN version without losing technical accuracy
• You want consistent illustrations for the article

Defaults

If not provided via input:

• draftPath: ~/.openclaw/workspace/contentDraft/latestDraft.md
• outputDir: ~/.openclaw/workspace/contentPolished/
• style: clean flat vector illustration, minimal isometric, software-engineering diagram vibe
• background: white background with subtle grid
• aspectRatioHero: 16:9 horizontal
• aspectRatioSection: 16:9 horizontal

Workflow Step-by-Step

Step 0 — Resolve Paths and Timestamp

1. Resolve defaults:
   • draftPath = input.draftPath || "~/.openclaw/workspace/contentDraft/latestDraft.md"
   • outputDir = input.outputDir || "~/.openclaw/workspace/contentPolished/"
2. Create a timestamp prefix ts in yymmddhhmm format (Linux/macOS):

date +"%y%m%d%H%M"

1. Ensure output dir exists (shell is fine):

mkdir -p "~/.openclaw/workspace/contentPolished/"

Step 1 — Read Draft Exactly

Read the draft content in full before editing anything:

read_file --path {{draftPath}}

Step 2 — Extract Title, Topic, and Section Candidates

1. Identify:
   • Draft title (first # heading; otherwise infer a short title)
   • Main topic and intended audience
2. Plan a 3–4 section outline (including intro/conclusion counts as sections if they have headings):
   • Prefer: short intro, 2–3 core sections, short wrap-up
   • If the draft is long, merge similar paragraphs
   • If the draft is messy, reorder paragraphs for a cleaner flow

Step 3 — Polish English (Meaning First)

Before translating, make sure the English content makes sense:

• Fix misspellings, grammar, punctuation
• Paraphrase confusing sentences
• Add missing connective tissue only where the meaning is unclear
• Do not reduce content (no big deletions)

Step 4 — Translate to Simplified Chinese (With Preservation Rules)

Translate the full draft into zh-CN with these hard rules:

• Keep code fences unchanged (commands/code stay exactly the same)
• Keep inline code (backticks) unchanged unless it contains an obvious typo
• Keep common technical terms in English (examples):
  • skills, plugin, openclaw, clawhub, cli, markdown, yaml
• If a technical term has a standard Chinese translation but the English term is common in your audience, keep the English term and (optionally) add a short Chinese clarification once on first use

Step 5 — Enforce Length (1000–1200 Words) Without Cutting Meaning

Target final length 1000–1200 words (counting Chinese words approximately by rough equivalence).

To fit without “reducing content”:

• Tighten redundancy (same idea repeated)
• Use shorter sentences
• Prefer combining adjacent sentences that restate the same point

Step 6 — Add Citations If You Introduce Outside Facts

If you add any information that is not clearly present in the draft:

• Add a short citation marker in text like: [^1]
• Add a footnotes section at the end:

## References
[^1]: Source title — URL

Step 7 — Generate Image Prompts (Hero + Per Section)

Create one single-line prompt for:

• Hero image (for the whole post)
• Each section (exactly one per section heading)

Use this strict ordering and keep the same style/tone across all prompts:

[Section role] of [topic]: [subject] doing [action], in [style], [angle/composition], [lighting/color], [level of detail], [background], [aspect ratio]

Constraints:

• No text in the image (prefer icons/arrows)
• Keep a consistent palette (neutral + one accent color)
• Keep prompts to a single line each

Step 8 — Save Outputs

1. Decide subject:
   • subject = input.subject || slugify(title) (lowercase, hyphens)
2. Write the polished markdown:
   • {{outputDir}}/{{ts}}-{{subject}}.md
3. Determine image filenames:
   • Hero: {{ts}}-main.png
   • Per section: {{ts}}-section1.png, {{ts}}-section2.png, ...
4. Save:
   • Write the polished .md file via write_file
   • For images:
     • If you have an image-generation tool available in your OpenClaw setup, generate and save the actual PNG/JPGs
     • Otherwise: still create an image-prompts block inside the markdown and return the intended filenames (so you can generate them later)

Output Format (What You Return)

Return:

• polishedPath
• imagePaths (actual or intended)
• imagePrompts (single-line prompts in the same order)

Also print a short summary:

## Summary
- Sections: N
- Length: ~X words
- Translation: English → zh-CN (terms preserved)
- Images: 1 hero + N section prompts

Example Invocation

User says:

• “Polish my latest draft, translate to zh-CN, and make images.”

You do:

• Read from ~/.openclaw/workspace/contentDraft/latestDraft.md
• Produce ~/.openclaw/workspace/contentPolished/26031214xx-openclaw-skills.md
• Produce 26031214xx-main.png + 26031214xx-section1.png ...

Dependencies

None (pure Markdown in/out). Uses the same file read/write capability as your other skills.