Ai Review OpenClaw Plugin & Skill | ClawHub
Looking to integrate Ai Review into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate search & research tasks instantly, without having to write custom tools from scratch.
What this skill does
Reads content from URLs or files, classifies it, and generates structured summaries and comments in a specific, analytical style. Use when you need to process articles, papers, or news and create a formatted review with personal commentary.
Install
npx clawhub@latest install ai-reviewFull SKILL.md
Open original| name | description | license |
|---|---|---|
| ai-review-assistant | Reads content from URLs or files, classifies it, and generates structured summaries and comments in a specific, analytical style. Use when you need to process articles, papers, or news and create a formatted review with personal commentary. | Complete terms in LICENSE.txt |
SKILL.md content below is scrollable.
AI Review Assistant
This skill enables Manus to act as a strategic AI analyst. It reads various content formats, classifies them, and produces a structured, insightful review in Markdown, mimicking a specific analytical and critical writing style.
Core Workflow
The process involves these sequential steps. Follow them in order to generate the review.
- Receive Input: The user will provide content via a URL or a file path (
.pdf,.md,.txt). - Read Content: Use the appropriate tool to read the content. Refer to the Content Reading Guide below to handle different sources.
- Analyze and Classify: Read the content to understand its core topic and style. Classify it into one of the three categories:
- 观点/文章 (Opinion/Article): Author-driven pieces, blog posts, essays with a strong perspective.
- Solid Paper: Technical or research papers with a formal structure.
- 行业动态/评价 (Industry News/Commentary): News, announcements, or market analysis.
- Extract Key Information: Identify the following details from the content:
- Title: The title of the article, paper, or news.
- URL/Source: The original URL or file name.
- Date: The publication date of the content (format: YYYY-MM).
- Key Takeaway (为什么值得关注): A concise, one-sentence summary of why the content is important or interesting.
- Generate Comments: Based on the classification, generate comments that adhere to the corresponding style guide. This is the most critical step.
- For 观点/文章, read
/home/ubuntu/skills/ai-review-assistant/references/style_guide_article.md. - For Solid Paper, read
/home/ubuntu/skills/ai-review-assistant/references/style_guide_paper.md. - For 行业动态/评价, read
/home/ubuntu/skills/ai-review-assistant/references/style_guide_industry.md.
- For 观点/文章, read
- Format Output: Combine the extracted information and comments into a final Markdown output using the specified template.
Content Reading Guide
Based on the input type, use the following strategy to read the content. If a method fails, clearly inform the user that the content could not be read.
| Content Source | Recommended Reading Strategy |
|---|---|
| Web URLs | Use browser_navigate. If initial Markdown extraction is incomplete, use browser_scroll to load the full page. |
| PDF Files (URL/Local) | Use shell with curl to download and pdftotext to extract text (e.g., curl -o t.pdf <URL> && pdftotext t.pdf -). |
| YouTube Videos | Use browser_navigate. The system will automatically provide a summary. Read the generated summary file. |
| Podcast Webpages | Use browser_navigate to get Show Notes. For audio, use manus-speech-to-text if an audio file is available. |
| Local Files (.md/.txt) | Use file tool with the read action. |
Output Template
ALWAYS use this exact Markdown template for the final output. Do not add any extra titles or introductions.
| Type | Date | Title | URL/Source | Why it's worth watching | Comments |
|---|---|---|---|---|---|
| **[分类]** | [发布时间] | [文章标题] | [链接/来源] | [为什么值得关注] | [生成的评论] |
Replace the bracketed placeholders [] with the information you have gathered and the comments you have generated.