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Found 55 Skills
Aggregate news from popular cryptocurrency RSS feeds, analyze sentiment of articles, and calculate an overall market sentiment score with detailed explanation. Use when assessing crypto market sentiment for trading decisions, research, or monitoring trends from RSS sources.
Coordinate smart-home actions across existing integrations with clear dry-run and safety confirmation.
World-class alternative data and sentiment analysis for trading - social media, news, on-chain data, positioning. Extract alpha from information others miss. Use when "sentiment, alternative data, social media trading, news trading, twitter signals, on-chain, whale watching, fear greed, positioning, " mentioned.
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.
Extract structured advertising campaign parameters from natural language input provided by advertisers. This skill should be used when analyzing advertising requirements, campaign briefs, or ad requests that need to be converted into structured data. Supports both creating new campaigns and updating existing campaigns with additional information. Identifies missing information and provides helpful guidance for completing campaign requirements.
Real-time sentiment analysis on Twitter/X using Grok. Use when analyzing social sentiment, tracking market mood, or measuring public opinion on topics.
Implement VADER sentiment analysis for social media text scoring. Use this skill when the user needs to analyze sentiment in tweets, reviews, or social posts, compute compound sentiment scores, or classify text polarity — even if they say 'is this positive or negative', 'sentiment of these comments', or 'social media mood analysis'.
Generate research questions from economic phenomena
Use when "HuggingFace Transformers", "pre-trained models", "pipeline API", or asking about "text generation", "text classification", "question answering", "NER", "fine-tuning transformers", "AutoModel", "Trainer API"
Use when "tokenizers", "HuggingFace tokenizer", "BPE", "WordPiece", or asking about "train tokenizer", "custom vocabulary", "tokenization", "subword", "fast tokenizer", "encode text"
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
OpenAI Privacy Filter — bidirectional token-classification model for PII detection and masking in text