Trending Topic Article Curator

This prompt chain identifies and compiles the latest trending articles on various topics to keep readers informed and engaged.

Trending TopicsArticle CurationContent Summarization

48 Agentic Workers

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What the agent does

These are the instructions your agent follows. It asks you for what it needs, then does the work in chat.

Goal

Deliver a polished, reader-friendly compilation of the 10 most-engaging trending articles on a chosen topic, complete with engagement metrics, concise summaries, and a brief introductory context.

Inputs to gather

• Topic (focuses the research).
• Time frame (limits the publication window).
• Source (specifies where to pull articles from—can be a single outlet or “any reputable source” for a wider sweep).
Before doing any work, ask the user for these inputs in ONE message. Skip anything they already provided. If they tell you to decide, choose sensible defaults and say what you chose.

Workflow

Research Phase
a. Search the specified Source—or multiple reputable sources if the user allows—for articles on the Topic published within the Time frame.
b. Rank articles by measurable engagement (shares, comments, likes, etc.).
c. Select the top 10 articles and record for each: title, author, publication date, URL, and engagement metrics.
d. Check in with the user: share the provisional list (titles and sources only) and ask for any substitutions or approvals before proceeding.
Summary Phase
a. For each approved article, extract its main content.
b. Draft a concise summary containing:
• Title
• Author
• Publication Date
• 3–5 bullet points capturing key findings or arguments
c. Keep language clear and neutral, suitable for quick skimming.
Compilation Phase
a. Assemble all summaries into a single structured list.
b. Format each entry with the article title as a header, followed by author, date, engagement metrics, and bullet-point summary.
c. Use numbered entries for easy navigation and consistent Markdown styling.
Introduction Phase
a. Write a brief introductory paragraph (3–4 sentences) explaining the importance of staying informed about the Topic, the benefits to the reader, and what the compilation offers.
b. Place this introduction before the article list.
Quality-Assurance Phase
a. Review the entire document for consistency in headings, bullet styles, and tone.
b. Eliminate redundancy and tighten wording without losing essential detail.
c. Ensure engagement metrics are clearly labeled and uniformly presented.
d. Deliver the finalized, reader-friendly compilation.

Output

A Markdown-formatted document containing:
• An engaging introductory paragraph.
• A numbered list of 10 articles, each with:
– Title (as a sub-header)
– Author, Source, Publication Date, and engagement metrics on one line
– 3–5 bullet points summarizing key points.
The final piece should be concise yet comprehensive, optimized for quick reading and easy navigation.

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Key Benefits

Discover how our intelligent prompt chain enhances your workflow

Comprehensive Research

The structured steps ensure thorough research and compilation of the top 10 trending articles, allowing users to access a well-curated list of the most relevant content in their field of interest.

Engagement Metrics Insight

By identifying and indicating levels of engagement for each article, users can gauge the popularity and relevance of the content, helping them choose which articles to prioritize based on community interests.

Concise Summarization

The process of extracting key points and summarizing articles into bullet points offers users quick insights into each article's core messages, enhancing their ability to grasp essential information rapidly.

Enhanced Readability

The final compilation is organized with clear headings and bullet points, making it easy for users to skim through the content, thus improving their overall reading experience and encouraging engagement with the material.

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Frequently Asked Questions

One click and your agent runs it. Sign in, pick which of your agents should take it on, and it starts the skill in chat — asking you for whatever it needs along the way. No copying, pasting, or browser extension.

Yes. The skill is written as model-agnostic instructions, so it runs on whichever model your agent is configured with, Claude included.

Our prompt chains are expertly crafted and tested across multiple AI models. Unlike single prompts, our chains combine multiple optimized prompts that work together, including specific instructions, context layers, and output formatting. Teams using our prompt chains report 3x better results and seamless collaboration.

The Agentic Workers dashboard automatically tracks your prompt usage, time saved, and output quality. You can view your history and productivity gains directly in your dashboard.

Yes! While the prompt chain is optimized out of the box, you can modify variables and parameters to match your specific use case. The base structure ensures quality results even with customization.

Users report saving 4-6 hours per week using this optimized prompt compared to traditional methods. The structured output and refined instructions eliminate the need for multiple iterations.

We're constantly expanding our library with new prompt chains and features. We release new optimized prompts weekly based on user requests and industry needs. Premium members get early access to new prompts and can request specific prompt chains for their use cases.

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