process-mining-assistant
Perform an end-to-end process mining analysis via a command-line workflow that progressively ingests, profiles, cleans, mines and reports on event logs using PM4Py. The workflow generates stage-based artefacts (including versioned notebooks) and pauses at decision checkpoints so the user can validate findings and choose how to proceed.
data-analyzer
データ分析と可視化を行うスキル
field-extraction-parsing
Extract structured fields from unstructured log data using OPAL parsing functions. Covers extract_regex() for pattern matching with type casting, split() for delimited data, parse_json() for JSON logs, and JSONPath for navigating parsed structures. Use when you need to convert raw log text into queryable fields for analysis, filtering, or aggregation.
ml-fundamentals
Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
symmetry-discovery-questionnaire
Use when ML engineers need to identify symmetries in their data but don't know where to start. Invoke when user mentions data symmetry, invariance discovery, what transformations matter, or needs help recognizing patterns their model should respect. Works collaboratively through domain analysis, transformation testing, and physical constraint identification.
