Follow

Monitor content from people, topics, and sources across platforms with smart filtering, tiered alerts, and searchable archives.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "Follow" with this command: npx skills add ivangdavila/follow

Workspace

~/follow/
├── sources/           # One file per followed entity
│   ├── people/        # @naval.md, @dhh.md
│   ├── topics/        # ai-safety.md, rust.md
│   └── feeds/         # techcrunch.md, hn-frontpage.md
├── archive/           # Captured content by date
│   └── YYYY-MM/
├── alerts.md          # Alert configuration
└── index.md           # Quick status: what's being followed

Quick Reference

TaskLoad
Add/configure sourcessources.md
Set up filtering rulesfiltering.md
Configure alert tiersalerts.md
Query archived contentquerying.md
Platform-specific setupplatforms.md

Core Loop

  1. Add source: User names person/topic/feed → create tracking file
  2. Monitor: Check sources on schedule (cron) or on-demand
  3. Filter: Apply relevance rules, skip noise
  4. Store: Archive what matters (summaries, not full dumps)
  5. Alert: Notify based on tier (immediate/daily/weekly/passive)
  6. Query: Answer "what did X say about Y?" from archive

Common Patterns

User saysAgent does
"Follow @naval on Twitter"Create sources/people/naval.md, configure Twitter monitoring
"Track AI safety discussions"Create topic tracker with keywords across multiple sources
"What has Competitor X posted this week?"Query archive, synthesize summary
"Alert me immediately when Y happens"Add to high-priority tier in alerts.md
"Give me a weekly digest of everything"Configure weekly summary in alerts
"Stop following X"Archive and mark inactive

Capture Principles

  • Summaries over full content — save space, stay legal
  • Links + timestamps always — retrievable later
  • Context for why it matters — not just "X posted"
  • Deduplicate across sources — same news from 5 places = 1 entry

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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