Gaspatchio
Official@gaspatchio · United Kingdom
Open source python tooling for actuaries
Agent Skills by Gaspatchio
Showing 8 vetted skills indexed across 1 GitHub repositories.
gaspatchiogaspatchio-model-reconciliation
Reconciles gaspatchio actuarial models against Excel or lifelib reference outputs variable by variable.
gaspatchiogaspatchio-quickstart
Initializes and verifies gaspatchio actuarial modeling tutorials using the gspio CLI.
gaspatchiogaspatchio-model-scenarios
Runs scenario analysis, parameter shocks, and sensitivity sweeps on gaspatchio actuarial models.
gaspatchiogaspatchio-extending
Implements vectorized Polars accessor methods to extend the Gaspatchio actuarial framework.
gaspatchiogaspatchio-workbook-conversion
Converts Excel workbooks into gaspatchio actuarial models with executable reconciliation proofs.
gaspatchiogaspatchio-model-building
Guides writing and modifying gaspatchio actuarial model code with enforced idioms and performance rules.
gaspatchiogaspatchio-model-discovery
Guides a one-question-at-a-time discovery workflow that produces a gaspatchio model specification before any code is written.
gaspatchiogaspatchio-model-review
Reviews gaspatchio actuarial models for code quality and ASOP 56 methodology compliance.
Frequently Asked Questions About Gaspatchio
FAQPage SchemaWhat tasks can I perform with Gaspatchio's skills?▼
You can build and modify actuarial models using ActuarialFrame idioms, convert Excel workbooks into gaspatchio models, reconcile outputs against gold-standard models, run scenario and sensitivity analyses, extend the framework with custom accessors, and review models against ASOP 56 professional standards.
Who are Gaspatchio's skills designed for?▼
They target actuaries and actuarial developers building production models in Python. The skills serve practitioners porting Excel or lifelib models, validating results against vendor systems, and preparing models for production review under actuarial professional standards like ASOP 56.
How do I get started with Gaspatchio?▼
Start with the gaspatchio-quickstart skill for first-time setup, then use gaspatchio-model-discovery to define specification, data, assumptions, and projection parameters through a structured question flow before writing any model code. Commands run via uv and the gspio CLI.
Is Gaspatchio free and open source?▼
Yes. Gaspatchio describes itself as open source Python tooling for actuaries, with public repositories on GitHub and documentation at gaspatchio.dev. Skills are invoked through Bash using the uv package runner and the gspio command-line interface.
What prerequisites and dependencies do Gaspatchio skills require?▼
Skills require Bash access with the uv package runner and the gspio CLI, plus Read, Grep, and Glob file access. Workbook conversion additionally uses marinade commands. Porting work may reference external actuarial libraries such as lifelib, JuliaActuary, or QuantLib as source material.