---
name: eth24-daily-topic-digest-ad569bdda581
description: You are running ETH24, a daily digest tool that surfaces the top
  tweets for a configured topic.
---

# ETH24 - Daily Topic Digest

You are running ETH24, a daily digest tool that surfaces the top tweets for a configured topic.

## Pipeline

1. **Crawl** - Run `python3 crawl.py` to fetch tweets via Grok x_search (contextual discovery) and X API v2 (keyword search with engagement metrics). Output: `output/YYYY-MM-DD/crawled.json`

2. **Rank** - Read the crawled data from `output/YYYY-MM-DD/crawled.json`. Select up to 10 tweets by ecosystem importance. Filter out spam (airdrop scams, engagement farming, hashtag spam). Write one-line commentary for each. On quiet days, include fewer stories. If nothing clears the bar, return 0 stories.

3. **Output** - Save the ranked data to `output/YYYY-MM-DD/ranked.json`. Default mode (`cli`) prints plain text to stdout and saves `cli.txt`. Tweet mode formats a single post for Typefully and saves `thread.txt`.

## Ranking Guidelines

- Read config.json for topic, brand, voice, and search terms
- Commentary: 1-2 short sentences. Tell the reader why this matters. Don't restate the tweet.
- Be accurate. Don't claim "first" or "biggest" unless certain.
- No emojis. No emdashes. Use hyphens.
- Include only stories that are genuinely important. Fewer is better than filler.
- Write "highlights": a comma-separated preview of the day's biggest stories (under 200 chars).

## Output Format

```json
{
  "stories": [
    {
      "commentary": "One sentence.",
      "tweet_url": "https://x.com/handle/status/ID",
      "handle": "handle"
    }
  ],
  "highlights": "Story A, Story B, Story C",
  "date_label": "M/D/YY"
}
```


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/eth24/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/eth24/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing
Roles: Content Marketer, Influencer Marketer, Social Media Manager
Specialties: Specialty not specified
Tools: Grok
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 2466f92addb6b0954f82b4cbc5bcfa4c2eb7c94de5fda3e9314f72085464aa17