Agent skill · Content & Marketing

social-monitoring

Monitor Twitter accounts (151 tracked), detect mentions, analyze engagement, and identify interaction opportunities. Use when tracking Twitter activity, monitoring mentions, analyzing social metrics, or managing social media presence.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill social-monitoring --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Allowed tools: ReadWriteBash(python:*)
Path: skills/analysis/social-monitoring/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Social Monitoring Comprehensive Twitter monitoring system tracking 151 accounts across 6 ecosystems with intelligent interaction prioritization. ## Overview Monitor and analyze Twitter activity to: - **Track 151 key accounts** across Codatta, Base, x402, AI/Data, Crypto, and Milady ecosystems - **Detect mentions** in real-time - **Identify interaction opportunities** with priority scoring - **Analyze engagement metrics** (likes, retweets, replies) - **Automate monitoring** with scheduled checks ## Quick Start ### 1. Configure Twitter API ```bash # Set Twitter API credentials export TWITTER_API_KEY="your_api_key" export TWITTER_API_SECRET="your_api_secret" export TWITTER_ACCESS_TOKEN="your_access_token" export TWITTER_ACCESS_SECRET="your_access_secret" ``` ### 2. Run Monitor ```python from src.twitter_monitor import TwitterMonitor monitor = TwitterMonitor() # Check for new mentions mentions = monitor.check_mentions() # Monitor specific account activity = monitor.monitor_account("@codatta_io") # Get interaction opportunities opportunities = monitor.find_opportunities() ``` ## Account Matrix ### 151 Tracked Accounts (6 Categories) | Category | Count | Priority | Auto-Interact | |---

What's inside
Steps it walks through
  1. Overview
  2. Quick Start
  3. 1. Configure Twitter API
  4. 2. Run Monitor
  5. Account Matrix
  6. 151 Tracked Accounts (6 Categories)
  7. Must Interact (Priority 100)
  8. Base Ecosystem (Priority 85-90)
  9. x402/8004 Community (Priority 80-85)
  10. AI/Data Industry (Priority 70-80)
  11. Crypto KOLs (Priority 60-75)
  12. Milady Community (Priority 50-70)
  13. Monitoring Features
  14. 1. Mention Detection
Ships with 1 file
  • metadata.json
Commands it runs
Set Twitter API credentials
export TWITTER_API_KEY="your_api_key"
export TWITTER_API_SECRET="your_api_secret"
export TWITTER_ACCESS_TOKEN="your_access_token"
export TWITTER_ACCESS_SECRET="your_access_secret"
More from claude-skill-registry
All skills →
About this skill
What does the social-monitoring skill do?

Monitor Twitter accounts (151 tracked), detect mentions, analyze engagement, and identify interaction opportunities. Use when tracking Twitter activity, monitoring mentions, analyzing social metrics, or managing social media presence.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill social-monitoring --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going