# sanjeed5/awesome-cursor-rules-mdc

Curated list of awesome Cursor Rules .mdc files

Repository: https://github.com/sanjeed5/awesome-cursor-rules-mdc
Canonical: https://ross.abutalabs.com/products/awesome-cursor-rules-mdc
Language: Python
License: CC0-1.0
License Family: permissive
Last push: 2026-05-19T12:28:00+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 83, release rhythm 35, longevity 40
- inputs: {"age_days": 562, "days_push": 106, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3569, forks 449 (observed 2026-08-28T04:08:10.080001+00:00)

## What it is
A curated awesome list of Cursor .mdc rule files, paired with a Python generator that creates MDC rule files from a JSON library catalog. It uses Exa semantic search to gather best practices and an LLM (Gemini, OpenAI, or Anthropic) to generate structured rule content.

## Use cases
- find cursor rules for my favorite libraries
- generate .mdc rule files for cursor editor
- create AI coding assistant rules from a library list
- bulk generate cursor mdc rules with LLM
- resume interrupted rule generation runs
- add custom libraries to cursor rules generator

## When to choose
- you use the Cursor editor and want curated rule files for libraries
- you want to automate generating structured AI coding rules at scale
- you need a resumable, parallel pipeline with rate limiting for LLM generation

## When to avoid
- you don't use Cursor or MDC-format rule files
- you need officially endorsed Cursor rules rather than community-generated content
- you don't have API keys for Exa and an LLM provider

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, prompt-engineering, llm-inference, web-scraping, cli
- domain: developer-tools, artificial-intelligence, large-language-models, awesome-lists
- platform: python, cli, cross-platform
- tags: cursor-rules, mdc-files, awesome-list, rule-generation, exa-search, gemini

## Member repositories
- sanjeed5/awesome-cursor-rules-mdc (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:10.080001+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:34:08.417039+00:00, confidence not recorded.
  - readme: https://github.com/sanjeed5/awesome-cursor-rules-mdc (fetched 2026-08-28T04:08:10.080001+00:00, sha 27438f1d542a)
- Data as of 2026-08-30T08:39:29.467469+00:00.