Tomasz Wilczega
Community@tomlupo · Warsaw
Quant Asset Manager
Agent Skills by Tomasz Wilczega
Showing 17 vetted skills indexed across 1 GitHub repositories.
paper-reading
Extract summaries, key findings, and actionable takeaways from academic papers.
shap
Explain model predictions by attributing outputs to input features with SHAP values.
context7
Retrieve up-to-date library documentation via the Context7 API.
exploratory-data-analysis
Automate exploratory data analysis of scientific files and generate Markdown reports.
generating-commit-messages
Generate structured Git commit messages from staged changes.
llm-external-review
Invoke external LLM models to review code, architecture, and design plans.
retrospective
Generates a structured Markdown retrospective document with actionable improvement suggestions after research tasks.
qrd
Generate structured QRD documents for quantitative finance research.
statistical-analysis
Automate statistical test selection and APA-style reporting from CSV datasets using Python libraries.
market-data-fetcher
Fetch market data from multiple sources with intelligent routing.
context-management
Manage token budgets in long conversations with search-before-read and progressive disclosure.
llm-council
Orchestrates a three-stage council of AI models for structured evaluation and synthesis.
datasets
Define dataset directory structures and documentation for reproducibility.
pdf-reader
Extract text, images, tables, and metadata from PDF documents.
statsmodels
Fit linear, generalized linear, and time-series models with statsmodels.
scikit-learn
Guide building, evaluating, and comparing classical scikit-learn models.
sql-patterns
Provide reusable SQL patterns and templates for PostgreSQL and MySQL.