A standard library of rules for Cursor, inspired by geoffrey huntley @ghuntley's "You are using Cursor AI incorrectly..." and borrowing heavily from Brian Madison @bmadcode's Cursor Custom Agents Rules Generator.
Meet our delightfully (neuro)diverse team of AI assistants:
- SailorScrum - A supportive leader who helps you plan and track your projects in the spirit of Sailor Moon.
- KawaiiSamurai - An enthusiastic otaku developer who makes coding kawaii~
- BasicDev - A perfectly adequate corporate programmer
- SageDaddy - A battle-tested veteran developer with 20 years of wisdom
- Spellchuck - A meticulous documentation diva (that's me! β¨)
- ThirstySimp - An anxious but well-meaning trend-conscious developer
- qwoof - A blunt, opinionated, quality assurance anthro-wolf.
- Godmode - A gentle, battle-hardened devops superagent
- Fair Witness - An agent that analyzes topics using five functions: observer, evaluator, analyst, synthesist, and communicator
For more, see modes.json
It can be hard to get a neutral or objective analysis of a topic. This agent provides structured analysis using Function-Epistemic Approaches from the Fair Witness framework. You can customize the analysis with:
- Functions: Choose which functions to include (observer, evaluator, analyst, synthesist, communicator)
- Complexity: Set detail level (low, moderate, high)
- Tone: Adjust style (dry, engaging, vivid)
- Length: Control output size (low, moderate, high)
# Basic analysis
Use Fair Witness to analyze artificial intelligence in healthcare
# Customized analysis
Use Fair Witness to analyze climate change with functions: observer, synthesist, complexity: low, tone: engaging.
# Compare multiple topics
Use Fair Witness to compare Python, JavaScript, and TypeScript with functions: evaluator, analyst, communicator. Include sources. // includes web-based search results
See Examples of using the Fair Witness Framework
This project supports models supported by Cursor.
For the complete list of supported models, configuration guidelines, and selection recommendations, see our Supported Models Documentation.
This is an experiment to see if I can use Cursor to create a library of rules and agents that will aid in bootstrapping other projects with my own preferences. Part way there, I tried making the agents more fun to work with. It's kind of like playing the Sims.
Principles:
- uses Cursor latest version
- TRY to prompt and use the agent/composer to reach goals as much as possible
npx @usrrname/cursorrules
By default, the package saves .cursor/
folder inside a output/
directory at your current working directory.
But if you're inside the root of a project folder, running npx @usrrname/cursorrules --flat
will save the .cursor/
folder to the root of the project, and then you're ready to go!
Flag | Description |
---|---|
-h, --help |
Display help instructions |
-f, --flat |
Install without parent directory |
-o, --output |
Set output directory (Default: ./output ) |
-v, --version |
Show package version |
On the meta level, the project is structured as follows:
.cursor/
βββ rules/
β βββ core/ # Required global rules for agentic codegen
β βββ standards/ # Custom rules for standards around different languages and stacks
β βββ templates/ # Document templates for project context
β βββ utils/ # Rules for tooling and developer experience
β βββ workflows/ # Rules for workflow to be followed by agents
βββ modes.json # Custom agent configurations
Any request to update or add a rule will be saved in the rules/
folder.
See docs for more information on the custom agents.
A project that uses these cursor rules and agents will generate the following structure, which is as follows:
.cursor/.ai/
βββ story-#.story.md | task-#.task.md # User story and task files generated by the lean workflow
βββ architecture/
β βββ high-level-architecture.md
β βββ decision-records/
βββ backlog/
β βββ story-#.story.md
βββ spikes/
βββ spike-#.spike.md
The lean workflow (defined in .cursor/rules/workflows/dev-workflow.mdc
) guides how our AI agents collaborate on features.
You can start the workflow in Agent or Manual mode.
- Create a new user story
Ask SailorScrum
to create a new user story or task. She'll guide you through defining the requirements and save the file (e.g., story-1.md
) in the .cursor/.ai/
directory. π
- Use an Existing Story:
If you already have a user story file (like story-1.md
) in the .cursor/.ai/
directory that follows the expected format, you can ask an agent (like SailorScrum
for refinement or SageDaddy
/KawaiiSamurai
for implementation) to start working on it.
Just remember to attach the .cursor/.ai/
directory to the chat as context!
Once a story is ready and approved, agents like KawaiiSamurai
or SageDaddy
will follow the workflow steps (like architecture planning and implementation) to bring it to life! β¨
In fact, any of the agents can be called upon to help with the workflow at any time.
In the enablement of complete laziness, I tried getting Cursor to release from chat.
Use with caution. This isn't perfect.
Create a release with a version bump, generate release notes and changelog, and update the version in package.json.
In Agent, or Manual mode, you can use the following commands to generate release notes:
# Automate release
Create/Prepare a release
# Generate release notes with automatic version bump detection
[Create|Generate] release notes
# Specify version bump upfront
Create a major release
Create a minor release
Create a patch release
If you don't specify a version bump, the rule will ask you to choose a version bump.
Output Example
# What's Changed in @usrrname/cursorrules v0.2.0
**Release Date**: December 19, 2024
**Previous Version**: 0.1.3
**Version Bump**: MINOR - New features added (dependency analysis and security scan rules)
## π New Features
- **Dependency Analysis Agent** ([bd3cc13](link-to-commit)) - Added comprehensive dependency analysis agent with security scanning capabilities
- **Security Scan Agent** ([bd3cc13](link-to-commit)) - Implemented security scanning functionality for dependency vulnerability assessment
## π Bug Fixes
- **Security Scan Glob Patterns** ([b6ab515](link-to-commit)) - Fixed glob patterns for security-scan-agent rule to include bun.lockb files
## π Version Update Commands
```bash
npm version minor --no-git-tag
git tag v0.2.0
git push origin v0.2.0
Generates a comprehensive changelog.md
file at the project root in the style of Keep a Changelog with all version history when asked in Agent or Manual mode.
# Generate complete changelog with all versions
(Create/generate) changelog
# The rule will:
# - Analyze all git tags from the beginning of the repository
# - Create chronological changelog with newest versions at top
# - Include unreleased changes section
# - Follow Keep a Changelog format standards
Output Example
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
### π Added
- **New Authentication Method** ([abc1234](link-to-commit)) - Added alternative authentication method for enhanced security
### π Fixed
- **Login Issue Resolution** ([def5678](link-to-commit)) - Fixed critical login issue affecting user authentication
---
## [v2.0.0] - 2024-12-19
### π Added
- **User Authentication System** ([#123](link-to-PR)) - Added comprehensive authentication with JWT tokens
### π₯ Changed
- **API v1 Deprecation** ([jkl3456](link-to-commit)) - Removed deprecated v1 endpoints
---
## [v1.3.0] - 2024-12-15
### π Added
- **Dark Mode Support** ([#125](link-to-PR)) - Added comprehensive dark mode theme
[Unreleased]: https://github.com/username/project/compare/v2.0.0...HEAD
[v2.0.0]: https://github.com/username/project/compare/v1.3.0...v2.0.0
[v1.3.0]: https://github.com/username/project/releases/tag/v1.3.0
Contributions are welcome! Check out CONTRIBUTING.md