analysis-pipeline

Create auditable quantitative analysis pipelines separating computational models from narrative documentation.

3|Updated May 7, 2026

Search Tags:#automation #analysis #reporting #pipeline #modeling #auditable

Ready to run

npx skills add https://github.com/bestdan/workflow-skills --skill analysis-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analysis-pipeline
Source: https://github.com/bestdan/workflow-skills/tree/main/skills/analysis-pipeline
Command: npx skills add https://github.com/bestdan/workflow-skills --skill analysis-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, and includes references (resource) components.

What problem does it solve?

This skill solves the problem of opaque, non-reproducible analysis where numbers are manually calculated or hardcoded, leading to errors and lack of trust in decision-making.

Core Features & Use Cases

Deterministic Pipelines: Separates data computation from narrative, ensuring that re-running the model always yields consistent results.
Template-Driven Reporting: Uses structured JSON outputs to populate Markdown documents, keeping data and prose perfectly synced.
Use Case: Use this when performing complex financial projections, capacity planning, or vendor cost comparisons where you need to maintain a clear audit trail from raw inputs to final recommendations.

Quick Start

Run the analysis pipeline by executing the model script followed by the template fill script to generate your final report.

Frequently Asked Questions about analysis-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build an auditable financial modeling pipeline?▼

An auditable financial modeling pipeline separates computational models from narrative documentation. This ensures deterministic output and input provenance, keeping data calculations perfectly synced with Markdown reporting templates.

What's the best way to keep data analysis synced with narrative reporting?▼

The best way to keep data analysis synced with reporting is using a template-driven pipeline. It maps structured JSON outputs directly into Markdown documents, ensuring deterministic results and preventing manual calculation errors.

How does a deterministic analysis pipeline work?▼

A deterministic analysis pipeline works by isolating raw data computation from prose. Re-running the model script always yields consistent results, which are then injected into templates to generate final decision-support reports.

Do I need uv to run quantitative analysis pipelines?▼

Yes, you need uv to run these quantitative analysis pipelines. The dependency manages the environment required to execute the model scripts and template fill scripts for generating auditable scenario planning reports.

When do I need a template-driven reporting pipeline?▼

You need a template-driven reporting pipeline when performing complex financial projections or vendor cost comparisons. It maintains a clear audit trail from raw inputs to final recommendations, satisfying high data integrity requirements.

Why does separating computation from narrative improve decision-support reports?▼

Separating computation from narrative improves decision-support reports by eliminating hardcoded numbers and manual errors. This separation guarantees deterministic output and structured data-to-template mapping, increasing trust in decision-making.