Prioritize Twitter/X market-signal tweets into categorized digests.
npx skills add https://github.com/clifton/twag --skill twag
Please help me install this Agent Skill. Skill: twag Source: https://github.com/clifton/twag/tree/main Command: npx skills add https://github.com/clifton/twag --skill twag
twag removes the noise from Twitter/X by turning fast-moving market chatter into prioritized, readable signals that traders and investors can act on quickly.
Run twag init, twag doctor, twag fetch, twag process, and twag digest to build a daily market-signal workflow from your Twitter/X timeline.
High-intent search queries and answers about installing and using this skill.
You can turn Twitter market signals into actionable digests using LLM triage to score tweet relevance, categorize themes, and summarize articles. This filters timeline noise into prioritized, readable outputs for traders.
Yes, fetching Twitter market signals requires bird-based X access, specifically AUTH_TOKEN and CT0 cookies, alongside a Gemini API key for LLM processing and SQLite for storage to enable high-signal automation.
Automate daily Twitter market signal monitoring by running scheduled processing workflows. Fetch timelines, process tweets for relevance, generate digests, and deliver high-signal alerts via Telegram notifications.
twag supports searching specific tickers or themes within your fetched timeline. It enriches market signals by summarizing X articles, extracting key points, action items, and highlighting useful charts.
Timeline triage may output low-relevance market signals if the LLM scoring thresholds are misconfigured or if input accounts share excessive noise. Use the init and doctor scripts to validate your environment and refine scoring categories.
Manage followed accounts for better market signal extraction using built-in account management commands. This refines the input timeline before fetching, ensuring the LLM triage processes higher-quality sources for your digests.
tsaijameyExtract tweets and comments from Twitter/X with source tracking.
FrancyJGLisboaGenerate technical stock analysis and trading signals from RSI, MACD, and Bollinger calculations.
avansaberConfigure ERPClaw notification triggers and channels for event-based messaging.
santoosaraujoQuantify market sentiment using fear and greed indices, options data, leverage metrics, and social media trends.
