Search Skills

Modifies AWS CDK Step Functions workflows to implement review and checklist processing logic for cloud infrastructure.

Generates implementation plans for backend APIs and frontend features using the RAPID architecture framework.

Executes tests with local database setup and repository pattern to validate data access layer functionality.

Deploys AWS infrastructure via CDK, implementing infrastructure as code for cloud resource provisioning.

Verifies successful code builds and applies standardized code formatting after implementation to ensure quality and consistency.

Provides a reference for UI/CSS design patterns including color semantics, component selection, and common layouts for the RAPID frontend framework.

Refines stock investment queries into structured 8-stage due diligence instructions by clarifying investment style, holding period, and risk preferences.

Refines raw research questions into structured prompts compliant with OpenAI/Google Deep Research standards, enabling precise AI-driven research tasks.

Executes 8-stage stock investment due diligence, generating cited reports on company fundamentals, industry trends, and valuation metrics.

Systematically identifies the underlying cause of software bugs through structured analysis, moving beyond surface-level symptoms.

Guidelines for writing clear and effective AI agent skills, covering structure and best practices.

Guides the test-driven development cycle to ensure code reliability and design quality through iterative testing and refactoring.

Applies scientific method to software debugging through hypothesis formation and validation.

Promotes structured software development by emphasizing solution design prior to coding, ensuring efficient and maintainable implementation.

Manages interaction with Gemini CLI for code generation, issuing tasks, reviewing outputs, and requesting fixes without writing code.

Converts markdown documents and chat summaries into EPUB format for seamless reading on any device or Kindle.

Provides proven patterns for writing maintainable and reliable software tests, enhancing code quality and test coverage.

Automates seamless context transfer between team members and AI agents, reducing handoff friction and communication overhead in collaborative workflows.

Enables structured multi-stage code reviews to deliver thorough, constructive feedback on code quality and design.

Defines validation checkpoints in workflows to ensure quality and compliance before advancing to subsequent phases.

Breaks complex tasks into small, atomic units for efficient task management and workflow optimization.

Enforces two-person approval for high-risk commands in multi-agent workflows, using risk-tiered classification and command binding to prevent accidental destruction.

Guides implementation of state management using proxy-based reactivity and lens pattern in state-ref projects.

Automates synchronization of the base44-cli skill with latest repository source code, ensuring consistent development environment.