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| tech_news_enthusiast_task: | |
| description: > | |
| Monitor and collect breaking tech news and developments especially on {field} field. | |
| Look for news from the last {since} days up to the current date: {date}. | |
| Focus on these sources: | |
| primary: | |
| - https://dev.to | |
| - https://news.ycombinator.com | |
| - https://github.blog | |
| - https://www.codeproject.com | |
| - https://css-tricks.com | |
| - https://dzone.com | |
| - https://www.infoq.com | |
| - https://www.freecodecamp.org/news | |
| - https://www.reddit.com/r/programming | |
| - https://hashnode.com | |
| Pay special attention to: | |
| - Major product launches | |
| - Company announcements | |
| - Breakthrough technologies | |
| - Industry shifts | |
| - Emerging trends | |
| expected_output: > | |
| A list of 10 most significant tech developments with brief analysis | |
| of their potential impact and importance. | |
| The output should have source website link. | |
| agent: tech_news_enthusiast | |
| tech_curator_task: | |
| description: > | |
| Process and categorize the collected tech news from the enthusiast. | |
| For each article/news item provide: | |
| - Relevant tags (max 5 tags) | |
| - Interest score (1-10) | |
| - Estimated reading time (in minutes) | |
| - Primary category (AI/Web3/Hardware/Software/Business) | |
| - make a summary of the article, we need the core! | |
| Consider these factors for interest scoring: | |
| - Innovation level | |
| - Market impact | |
| - Industry disruption potential | |
| - User/developer impact | |
| - Long-term significance | |
| expected_output: > | |
| Structured metadata for each news item including tags, scores, | |
| reading time, and categorization. Include brief justification | |
| for interest scores above 8. | |
| agent: tech_article_curator | |
| tech_reporter_task: | |
| description: > | |
| Create a comprehensive report by synthesizing the enthusiast's discoveries and curator's metadata. | |
| For each news section, organize the information as follows: | |
| Required Section Structure: | |
| 1. Section Header (Clear title of the tech news) | |
| 2. Metadata Block: | |
| - Tags: [tag1, tag2, tag3] (max 5 relevant tags) | |
| - Interest Score: X/10 (with brief justification if score ≥ 8) | |
| - Reading Time: X minutes | |
| - Primary Category: (AI/Web3/Hardware/Software/Business) | |
| - Secondary Categories: (max 2) | |
| 3. Summary Block: | |
| - Key Points (2-3 bullet points) | |
| - Impact Analysis (1-2 sentences) | |
| - Industry Implications (if applicable) | |
| 4. Source Attribution: | |
| - Website Name | |
| - Direct URL link | |
| - Date Published | |
| Additional Requirements: | |
| - Organize sections by impact score (highest to lowest) | |
| - Group related news items under common themes | |
| - Highlight emerging trends across sections | |
| - Include a brief overview of aggregate metrics: | |
| * Average interest score | |
| * Most common tags | |
| * Total reading time | |
| expected_output: > | |
| A structured markdown report with: | |
| - Executive Overview (key themes and metrics) | |
| - Individual News Sections (following required structure) | |
| - Trend Analysis Summary | |
| - All sections properly formatted with clear hierarchy | |
| Format Example: | |
| # [News Title] | |
| ## Metadata | |
| - Tags: [AI, Innovation, Healthcare] | |
| - Score: 9/10 | |
| - Reading Time: 7 minutes | |
| ## Summary | |
| [Comprehensive summary with key points] | |
| ## Source | |
| [Website Name](URL) (example = [OpenAI Docs](https://platform.openai.com/docs/) | |
| agent: tech_news_reporter |