crypto-sentiment

To analyze crypto market sentiment, this Skill evaluates social buzz, news tone, community health, developer activity, and narrative momentum. It produces a structured scored research report quantifying whether a token is gaining momentum or losing attention.

Scoring social buzz and news tone requires evaluating five sub-dimensions on a 0-20 scale. This method detects contrarian signals and generates a markdown report assessing market behavior, influencer mentions, and Fear & Greed conditions.

Yes, crypto sentiment analysis applies to tokens ranging from meme coins to infrastructure assets. It evaluates category-driven market behavior, exchange listings, partnerships, and community health to produce a clear scored assessment.

You generate a structured sentiment report by asking the assistant to analyze a token like BTC. It outputs a markdown file named CRYPTO-SENTIMENT-BTC.md containing scored assessments across developer activity and narrative momentum.

Yes, contrarian signal detection is built into the crypto sentiment analysis workflow. It evaluates narrative momentum alongside social buzz to identify whether a token is being quietly accumulated or loudly shilled.

A crypto community health and developer activity assessment includes evaluating social buzz, exchange listings, partnerships, and influencer mentions. It assigns structured scores across sub-dimensions to quantify the token's overall market sentiment.