Compose Digest

Create a formatted news digest from articles and trends.

Preconditions

• Articles processed with analyze-article skill
• Trends analyzed with analyze-trends skill
• LLM API available for summary generation

Actions

Step 1: Select Articles by Importance

Sort articles by importance score and select:

1. All high importance (score >= 7)
2. Top 5 medium importance (score 5-6)
3. Fallback: If no notable articles, take top 5 by score

Step 2: Generate LLM Summary

Send selected articles to LLM with prompt:

Write a cohesive, professional summary of these news items:
1. Be written as flowing paragraphs, not bullet points
2. Embed source citations inline using markdown [Source](url)
3. Highlight the most important developments first
4. Group related news naturally in the narrative
5. Be concise but comprehensive

Write 2-4 paragraphs summarizing the key AI news.

Step 3: Parse and Clean Response

• Strip Qwen3 thinking tags (<think>...</think>)
• Clean up any formatting artifacts
• If LLM fails, use fallback bullet-point format

Step 4: Build NewsDigest Object

Create digest with:

• Unique ID: digest-{uuid[:8]}
• Created timestamp
• Period start/end based on period_hours
• Generated headline summary
• Top 5 trends
• Article count
• Sources used

Step 5: Format for Discord

Format digest with sections:

# AI News Digest - {date} ({Morning/Evening})

{LLM-generated summary with citations}

**Trending Topics:**
- {topic} (covered by {n} sources)

**Emerging Themes:**
- {rising topic}

---
*{n} articles from {n} sources*

Success Criteria

• Coherent summary generated
• Citations properly embedded
• Trends highlighted appropriately
• Format fits Discord constraints

Fallback Behavior

If LLM unavailable:

**Today's AI News Highlights:**

- [{title}]({url}) ({source}): {summary}...