Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
AI-review
Reads content from URLs or files, classifies it, and generates structured summaries and comments in a specific, analytical style. Use when you need to proces...
skill openclawclawhub Free
Reads content from URLs or files, classifies it, and generates structured summaries and comments in a specific, analytical style. Use when you need to proces...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/style_guide_article.md, references/style_guide_industry.md, references/style_guide_paper.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- blackshady1130-jpg
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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. 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 SourceRecommended Reading StrategyWeb URLsUse 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 VideosUse browser_navigate. The system will automatically provide a summary. Read the generated summary file.Podcast WebpagesUse 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.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs
- SKILL.md
- references/style_guide_article.md
- references/style_guide_industry.md
- references/style_guide_paper.md