run

Execute batch or single portfolio sorts on the Dickerson bond dataset.

58|10|Updated Apr 2, 2026

Search Tags:#automation #python #bash #data #portfolio #sort #bond

Ready to run

npx skills add https://github.com/Alexander-M-Dickerson/ai-asset-pricing --skill run-alexander-m-dickerson

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: run
Source: https://github.com/Alexander-M-Dickerson/ai-asset-pricing/tree/main/.claude/skills/run
Command: npx skills add https://github.com/Alexander-M-Dickerson/ai-asset-pricing --skill run-alexander-m-dickerson

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Executes batch or single portfolio sorts directly on the Dickerson bond dataset without requiring an orchestration agent, streamlining research workflows.

Core Features & Use Cases

Direct execution: run batch or single sorts in one Bash call, with results saved automatically.
Flexible modes: supports batch and single-sort workflows, with configurable signals and options.
Data-path resolution: determines data location from the canonical local state or the Dickerson bond parquet data; produces a reproducible workflow for WRDS-based research.

Quick Start

Run a direct batch sort on the Dickerson bond data using a simple command like: /run batch cs ytm bbtm

Frequently Asked Questions about run

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

FAQPage Schema

How do I run batch or single portfolio sorts directly on bond data without an orchestrator?▼

You can execute batch or single portfolio sorts directly on the Dickerson bond dataset using a compatible Bash/Python environment and a generated script template, eliminating the need for an orchestration agent.

What is the best way to sort the Dickerson bond dataset for WRDS-based research workflows?▼

Sorting the Dickerson bond dataset is best handled by resolving the canonical local data path or bond parquet data, then applying deterministic sort signals to produce summarized, reproducible research workflow results.

Do I need a specific environment to execute portfolio sorts on bond parquet data?▼

Executing portfolio sorts on bond parquet data requires a compatible Bash/Python environment, a canonical data path, and a generated script template to run the sort commands successfully.

Can I run multiple portfolio sort signals in a single Bash call?▼

Yes, you can run batch sorts in a single Bash call by configuring flexible signals and options, with the summarized results saved automatically for immediate analysis.

How does direct portfolio sorting handle data-path resolution for reproducible research?▼

Direct portfolio sorting handles data-path resolution by automatically determining the data location from the canonical local state or the Dickerson bond parquet data, ensuring a reproducible workflow.

What are the limitations of running direct portfolio sorts on bond data?▼

Direct portfolio sorts are limited to known data within the Dickerson bond dataset, requiring a generated script template and a compatible Bash/Python environment to execute deterministic signals successfully.