schattenspiegel
Community@schattenspiegel
schattenspiegel provides deep Python library expertise skills spanning scientific computing, data engineering, Bayesian inference, and GitHub Copilot customization in VS Code.
Agent Skills by schattenspiegel
Showing 66 vetted skills indexed across 1 GitHub repositories.
schattenspiegeltenacity-python
Designs bounded retry policies in Python using Tenacity predicates, stop strategies, and waits.
schattenspiegelscikit-learn-python
Guides writing, reviewing, and verifying scikit-learn pipelines, splitters, and model evaluation workflows.
schattenspiegelrich-python
Designs and tests Rich terminal output including tables, trees, panels, progress, and live displays.
schattenspiegelgithub-copilot-customization-architecture
Designs and audits GitHub Copilot customization systems across instructions, prompts, skills, agents, hooks, MCP servers, and plugins.
schattenspiegelxarray-python
Guides writing, reviewing, and testing Xarray labeled N-dimensional array workflows in Python.
schattenspiegelsympy-numpy-scipy-boundaries
Compile symbolic SymPy expressions into verified NumPy and SciPy numerical workflows.
schattenspiegelcvxpy-python
Write, debug, and validate Python CVXPY convex optimization models with solver and status handling.
schattenspiegelscipy-python
Write and verify SciPy optimization, root-finding, and sparse linear algebra code with explicit convergence checks.
schattenspiegelgithub-copilot-prompt-files
Create and validate GitHub Copilot reusable prompt files and slash commands in VS Code.
schattenspiegelgithub-copilot-custom-agents
Create and verify GitHub Copilot custom agents with least-privilege tool restrictions and handoffs.
schattenspiegeljupyter-python
Create, execute, and verify reproducible Python Jupyter notebooks with nbformat and nbclient.
schattenspiegelpython-project-tooling
Configures and verifies Python project tooling with pyproject.toml, uv, Ruff, Pyright, and pytest.
schattenspiegelduckdb-polars-boundaries
Guides stage ownership and data transfer between DuckDB SQL and Polars DataFrames.
schattenspiegelpymc-python
Builds, samples, and diagnoses PyMC Bayesian models with named dimensions and predictive checks.
schattenspiegelgithub-copilot-agent-skills
Create, review, and package portable GitHub Copilot Agent Skills with SKILL.md contracts.
schattenspiegelfastapi-pydantic-boundaries
Defines FastAPI request and response contracts using Pydantic v2 validation and serialization.
schattenspiegelpython-typing
Designs, reviews, and verifies Python static type contracts including Protocols, generics, overloads, and narrowing.
schattenspiegelpydantic-python
Write, validate, and migrate Pydantic v2 models with version-grounded serialization contracts.
schattenspiegelsqlalchemy-python
Guides writing, reviewing, and testing SQLAlchemy 2.x Core and ORM code with correct transaction ownership.
schattenspiegelarviz-python
Diagnose and compare Bayesian inference results with ArviZ DataTree groups.
schattenspiegelpyarrow-python
Guides writing, testing, and debugging schema-explicit PyArrow columnar code in Python.
schattenspiegelpandera-polars
Write and validate Pandera schemas for Polars DataFrame and LazyFrame pipelines.
schattenspiegelgithub-copilot-mcp
Configure and validate Model Context Protocol servers for GitHub Copilot in VS Code.
schattenspiegeltyper-python
Build, review, and test Python command-line interfaces with Typer.
Frequently Asked Questions About schattenspiegel
FAQPage SchemaWhat tasks can I accomplish with schattenspiegel's skills?▼
You can write, review, debug, and test Python code across NumPy, pandas, Polars, DuckDB, PyArrow, SQLAlchemy, dbt, FastAPI, Pydantic, Streamlit, Matplotlib, Plotly, PyMC, NumPyro, CVXPY, SymPy, SimPy, pytest, and Excel/PowerPoint file generation, plus design GitHub Copilot instructions, prompt files, agents, hooks, MCP configs, and plugins.
Who are these skills designed for?▼
Python engineers, data scientists, and analytics engineers working with dataframes, Bayesian models, numerical optimization, or scientific computing, plus platform teams standardizing GitHub Copilot behavior in Visual Studio Code through instructions, custom agents, Agent Skills, hooks, and MCP server configurations.
How do the boundary skills work in practice?▼
Boundary skills activate when code crosses two libraries, such as DuckDB-Polars Arrow transfer, FastAPI-Pydantic validation contracts, SymPy lambdify into NumPy/SciPy, scikit-learn versus statsmodels model choice, or HTTPX-Tenacity-asyncio resilient call paths, ensuring correct ownership, conversion, and contract handling at the seam.
What are the prerequisites for using these skills?▼
Each skill requires the relevant Python library installed in your environment, such as pydantic v2, SQLAlchemy 2.x, pandera[polars], or JAX for NumPyro. Copilot skills require Visual Studio Code with GitHub Copilot and the appropriate .github or .vscode configuration directories.
Do these skills cover tasks outside their stated scope?▼
No. Each skill declares explicit exclusions, for example tenacity-python excludes generic loops and non-idempotent operations, xxhash-python excludes cryptographic use, and excel-python excludes CSV-only work and Excel UI automation, keeping guidance strictly within the named library boundary.