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Twitter/X automation with advanced stealth and anti-detection
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Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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| name | mia-twitter-stealth |
| description | Twitter/X automation with advanced stealth and anti-detection |
| version | 1.0.0 |
| author | MiaBloomx |
| tags | ["twitter","automation","stealth","anti-detection","social-media"] |
| metadata | {"clawdbot":{"emoji":"🕵️♀️"}} |
Twitter/X automation with advanced stealth techniques to avoid bot detection.
navigator.webdriverheadless: false by default# Post tweet
mia-twitter post "Hello world"
# Reply to tweet
mia-twitter reply <tweet-id> "Great post!"
# Like tweets by search
mia-twitter like --search "AI agents" --limit 10
# Follow users
mia-twitter follow --search "founder" --limit 5
# Check notifications
mia-twitter notifications