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A comprehensive approach to testing covering unit, integration, and e2e philosophy, what to test, and deployment confidence.
Automated dependency updates covering update strategy, testing requirements, security scanning, and rollout.
A specification for CI/CD pipelines covering build, test, deploy stages, environment management, and rollback strategy.
A specification for Python backend services covering API design, project structure, testing, and documentation standards.
A systematic methodology for designing, testing, and iterating on prompts covering structure, evaluation, and failure modes.
The official skill for turning a project, chat transcript, or folder of notes into a properly-structured BotDoc draft using your LLM.
Rules for human-AI collaborative coding covering delegation, review, and maintaining code ownership.
A system where AI agents review pull requests for code quality, consistency, security, and adherence to conventions.
Teaching AI agents to handle, diagnose, and recover from errors covering retries, fallbacks, and escalation.
A comprehensive set of rules for Cursor AI when working on TypeScript projects covering style, patterns, and pitfalls.
Best practices for CLAUDE.md files covering project context, coding conventions, tool usage, and session management.
A specification for building data pipelines covering ingestion, transformation, validation, loading, and monitoring.