jkp-data
Global stock characteristics and factor portfolio data pipeline
All Skills in This Repository (8)
Pure Emerald Level Indicatorsreview-workflow
Automate end-to-end PR reviews with phased triage and decision points.
triage-copilot
Classify Copilot pull request review suggestions into incorporate, ignore, or discuss.
review-code
Review changed Python files against project conventions and report deviations.
check-docs
Analyze git diffs to detect documentation gaps in code changes.
verify-review
Parse PR review feedback and validate subsequent commits against checklist items.
review-pr
Analyze GitHub pull requests with three parallel agents for code, docs, and quality.
draft-pr-comment
Draft and post checklist-style GitHub PR comments requesting specific changes.
approve-pr
Automate GitHub PR pre-flight checks, approval, and squash-merge with branch deletion.
Frequently Asked Questions
FAQPage SchemaHow to install jkp-data?▼
Run `npx skills add bkelly-lab/jkp-data --all -g -y` in your terminal to install all skills in this suite globally.
What data does jkp-data generate?▼
It produces global stock returns, 406 firm characteristics, and factor portfolio returns based on the Jensen, Kelly, and Pedersen replication study published in the Journal of Finance.
Do I need a WRDS subscription to use jkp-data?▼
Yes, the pipeline downloads raw CRSP and Compustat data through your own licensed WRDS account. Pre-computed outputs are also available free at jkpfactors.com.
How do the PR review skills work?▼
The skills let your agent fetch a pull request, run convention and documentation checks, triage Copilot suggestions, and draft structured review comments or approve and merge.
Can I run the pipeline on an HPC cluster?▼
Yes. It includes a Slurm batch script and supports persistent WRDS connections to avoid repeated multi-factor authentication prompts on clusters.
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