GitHub
agentic-jumpstart-code-quality
Code quality guidelines for Jarvy CLI - Rust formatting, Clippy linting, error handling patterns, documentation standards, and Conventional Commits.
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GitHub
agentic-jumpstart-testing
Testing guidelines for Jarvy CLI - unit testing patterns, integration tests with assert_cmd, test environment variables, platform-specific testing, and CI coverage strategies.
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log-learning
Log key learnings to progress.txt during PRD iteration. Use when you discover codebase patterns, encounter gotchas, make important decisions, or learn something that would help future work sessions. Triggers on...
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GitHub
agent-doc-writer
Analyze code changes and recommend appropriate documentation. Evaluates git diffs to determine if changes warrant README updates, inline doc additions, or dedicated documentation files. Triggers on: document ch...
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prd-to-json
Convert a PRD markdown file to a structured JSON task file with progress tracking. Use when converting a PRD to JSON, creating trackable tasks from a PRD, or when asked to make a PRD actionable. Triggers on: co...
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adr
Create Architecture Decision Records for important technical decisions. Guides you through trade-off analysis, fact-checks claims, and generates a structured ADR document. Triggers on: create adr, architecture...
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GitHub
agentic-jumpstart-architecture
Architecture guidelines for Jarvy CLI - codebase structure, tool implementation patterns, registry system, platform-specific code organization, and module conventions.
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GitHub
agentic-jumpstart-performance
Performance optimization guidelines for Rust CLI tools. Covers efficient command execution, parallel processing, lazy initialization, allocation minimization, config parsing, and build optimizations for cross-p...
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GitHub
agentic-jumpstart-dependency-management
Dependency management guidelines for Jarvy - crate selection criteria, feature flag best practices, version management, security auditing with cargo-audit and cargo-deny.
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api-development
Standards for API development, documentation, and maintenance using OpenAPI 3.0.
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git-workflow
Guidelines for version control, commit conventions, and repository management.
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security-audit
Analyze the codebase for security vulnerabilities, including dependency issues, improper data handling, and configuration risks.
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GitHub
testing-best-practices
Guidelines for writing unit and integration tests, including mocking strategies and coverage goals.
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heroku-deployment
Guidelines for deploying and managing the application on Heroku, including configuration and build troubleshooting.
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GitHub
design-aesthetics
Ensure the user interface meets premium design standards, maintains consistency with existing design tokens, and provides a polished user experience.
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GitHub
code-quality
Best practices for code structure, error handling, and reducing duplication.
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GitHub
proof-of-work
Use automatically during development workflows when making claims about tests, builds, verification, or code quality requiring concrete evidence to ensure trust through transparency.
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GitHub
typescript-type-system
Use when working with TypeScript's type system including strict mode, advanced types, generics, type guards, and compiler configuration.
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GitHub
doc-coauthoring
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow help...
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performance-optimization
Use when optimizing code for performance, reducing bundle size, improving load times, or fixing performance bottlenecks. Emphasizes measurement-driven optimization.
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GitHub
legacy-code-safety
Use when modifying, removing, or refactoring code that lacks test coverage. Emphasizes the danger of untested changes and the RGR workflow to add characterization tests before modifications.
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GitHub
oop-encapsulation
Use when applying encapsulation and information hiding principles in object-oriented design. Use when controlling access to object state and behavior.
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GitHub
pytest-fixtures
Use when pytest fixtures, conftest files, parametrize decorators, and fixture scopes for comprehensive test setup.
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GitHub
python-async-patterns
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.
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