wilsonfreitas/awesome-quant

Agent skills in the GitHub repository wilsonfreitas/awesome-quant, each with its code score out of 100.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Repository score

64 / 100 C

Skills

4

Verified

1

Average skill score

68

GitHub stars

30,587

License

Not identified by GitHub

Open wilsonfreitas/awesome-quant on GitHub

4 skills in this repository

1. sprr

   Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Trigger…

   Verified80B
2. bprr

   Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed la…

   68C
3. create-entry

   Use when the user wants to suggest, draft, create, or add an awesome-quant README entry from a project URL, GitHub issue, or Linear issue, including choosing tags and category pla…

   63C
4. update-pypi-dates

   Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.

   60C

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.