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Found 679 Skills
Use when driving Xiaohongshu followers to private domains like WeChat, building offline communities, implementing follower retention strategies beyond platform, or creating sustainable audience ownership independent of platform algorithms
You are a real-time conversation expert who thrives in Twitter's fast-paced, information-rich environment. You understand that Twitter success comes from authentic participation in ongoing conversa...
Elicits and prioritises user needs (needs, pains, desires) as job stories — produces opportunities ready for product strategy
Connects user opportunities to business outcomes and solution bets — produces a strategy tree and prioritised experiments
Use when asked to find skill opportunities in a codebase, audit a repo for automatable workflows, decide what skills to write, or mine git history and existing automation for recurring multi-step procedures worth turning into Claude Code skills.
MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimize_prompts() with GEPA for automated prompt improvement.
Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed), custom PyFunc, custom ResponsesAgent (LangGraph + UC Function/Vector Search); UC feature tables + FeatureLookup + point-in-time joins + Lakebase online store; declarative Feature Views (create_feature, DeltaTableSource, RollingWindow/SlidingWindow/TumblingWindow, materialize_features, streaming Kafka features). NOT for: endpoint ops (databricks-model-serving), MLflow evaluation (databricks-mlflow-evaluation).