Add Alpha Skills β quantitative factor research skills#242
Add Alpha Skills β quantitative factor research skills#242VernonOY wants to merge 2 commits intoPatrickJS:mainfrom
Conversation
|
No actionable comments were generated in the recent review. π βΉοΈ Recent review infoβοΈ Run configurationConfiguration used: defaults Review profile: CHILL Plan: Pro Run ID: π Files selected for processing (2)
β Files skipped from review due to trivial changes (2)
π WalkthroughWalkthroughAdded a new Cursor rules file defining "Alpha Skills β Quantitative Factor Research" and a single README entry under "Other" linking to Changes
Estimated code review effortπ― 2 (Simple) | β±οΈ ~10 minutes Suggested reviewers
Poem
π₯ Pre-merge checks | β 3β Passed checks (3 passed)
βοΈ Tip: You can configure your own custom pre-merge checks in the settings. β¨ Finishing Touchesπ§ͺ Generate unit tests (beta)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
There was a problem hiding this comment.
Actionable comments posted: 1
π€ Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@README.md`:
- Line 270: Replace the absolute GitHub URL for "Alpha Skills" with a relative
repository path per README guidelines: update the link text "Alpha Skills" to
point to the local rule directory (for example
./rules/alpha-skills/.cursorrules) and create that directory/file if it doesn't
exist, ensuring the README uses a relative link instead of
https://github.com/VernonOY/alpha-skills.
πͺ Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
Adding Alpha Skills β a set of 7 AI skills for quantitative factor research.
Works as Cursor rules files. Skills include factor discovery, evaluation (IC/ICIR/quintile), automated mining, backtesting, monitoring, and reporting. Supports A-share, HK, and US markets. All self-contained, no external dependencies.
Summary by CodeRabbit