---
name: follow
description: Monitor content from people, topics, and sources across platforms with smart filtering, tiered alerts, and searchable archives.
---

## 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

| Task | Load |
|------|------|
| Add/configure sources | `sources.md` |
| Set up filtering rules | `filtering.md` |
| Configure alert tiers | `alerts.md` |
| Query archived content | `querying.md` |
| Platform-specific setup | `platforms.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 says | Agent 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 attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/follow/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/follow/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing, Customer Support
Roles: Community Manager, Content Marketer, Influencer Marketer, Marketing Analyst, Social Media Manager
Specialties: Specialty not specified
Tools: Mcp
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 84da8fd5bba9fbb372af5660793c2c499ba0c9d6aa564670ba8197b92e36f6ec
