Poly Daily Reading List (Optimized)

Generate and deliver a curated daily reading list for Guillaume.

Paths

• Obsidian vault: ~/Library/Mobile Documents/iCloud~md~obsidian/Documents/Guillaume Maka/
• Daily reading dir: <vault>/Daily Reading/
• Output file: <vault>/Daily Reading/daily-YYYY-MM-DD.md
• Read-status cache: ~/.openclaw/workspace-poly/reading-lists/read-status.json
• Mission Control CLI: ~/.openclaw/workspace/mission-control/apps/cli

Workflow

1. Collect Past Read URLs (Optimized)

Before searching, gather URLs Guillaume already read from recent history:

1. Glob daily-*.md files from last 30 days only in Daily Reading dir
2. Extract URLs from lines matching [x] (checked/read items)
3. Load read-status.json if it exists for additional cached read URLs
4. Combine into a deduplicated exclusion set

Helper script (updated):

scripts/collect-read-urls.py <daily-reading-dir> --days 30

Outputs a JSON array of read URLs to stdout.

2. Search (Optimized)

Search across all topics with explicit limits:

Priority order:

1. Primary AI sources (OpenAI Blog, Anthropic Blog, Kilo.ai Blog, DeepLearning.AI, arxiv)
   • Fetch only latest 5 items per source (not full blog)
   • Use source-specific feeds/APIs when available
2. Web search for other topics (full-stack, anime, horror games, metal)
   • Limit to 3 results per category with count: 3
   • Add 10-second timeout per search operation

Quality focus: Still aim for 2-5 strong picks per category max, but with bounded search space.

3. Filter (Unchanged)

Remove any URL matching the exclusion set from Step 1.

4. Write Daily File (Unchanged)

Create <vault>/Daily Reading/daily-YYYY-MM-DD.md:

# Daily Reading List — May 8, 2026

## AI & Agentic
- [ ] [Title](url) — One-line summary

## Full Stack Dev
- [ ] [Title](url) — One-line summary

## Anime
- [ ] [Title](url) — One-line summary

## Horror Games
- [ ] [Title](url) — One-line summary

## Metal Music
- [ ] [Title](url) — One-line summary

Categories with no items should still appear (empty section) so Guillaume knows they were checked.

5. Update Read-Status Cache (Optimized)

Append today's new URLs to SINGLE read-status file: ~/.openclaw/workspace-poly/reading-lists/read-status.json

Remove duplicate update to agent directory to reduce write operations.

{
  "lastUpdated": "YYYY-MM-DD",
  "readUrls": ["url1", "url2"]
}

6. Notify (Unchanged)

Deliver a brief summary with the link to the Obsidian file.

Mission Control Integration

After saving the daily file, ingest into Mission Control:

cd ~/.openclaw/workspace/mission-control/apps/cli
npx tsx src/index.ts ingest reading-list --data '<JSON>'

JSON format:

{
  "agentId": "poly",
  "date": "YYYY-MM-DD",
  "articles": [
    {"title": "...", "url": "...", "category": "ai"}
  ],
  "delivered": true,
  "deliveryChannel": "telegram"
}

Valid categories: ai, llms, safety, prompting, fullstack, anime, horror, metal

Then update agent status:

npx tsx src/index.ts ingest status --agent-id poly --status online --activity-message "Reading list delivered"

Weekly Archiving (Mondays)

Before generating today's list, on Mondays:

1. Query Mission Control for last week's data:

   npx tsx src/index.ts query reading-lists --dateFrom <mon> --dateTo <sun> --agentId poly --format json
   

2. Collect all daily-*.md files from Mon–Sun of last week
3. Group items by source/topic
4. Write to <vault>/Daily Reading/Archives/Month YYYY.md (e.g., "May 2026.md") with header:

   # Week of May 4-10, 2026
   
   ## Collected Unread Items
   - [ ] [Title](url) — Summary
   

5. Delete the individual daily files after archiving
6. Ingest archive task:

   npx tsx src/index.ts ingest task --agentId poly --title "Daily Reading Weekly Archive" --description "Archived last week's reading lists" --status completed --category maintenance
   

Yearly Archiving (January 1st)

Before generating today's list, on Jan 1:

1. Collect all daily readings from the past year
2. Group by month within a single file
3. Write to <vault>/Daily Reading/YYYY.md (e.g., "2025.md")
4. Delete monthly archive files after creating yearly
5. Ingest archive task as above