Claude Skills by B4san

Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.

Transform the agent into a performance engineer. Apply methodologies for measuring, profiling, and optimizing code (caching, algorithm complexity, resource usage).

Manage the project's core principles and ensuring alignment. Create or update the project constitution from interactive or provided principle inputs.

Analyze codebase structure, generate domain-specific sub-skills (UI, Backend, Database, etc.), and create agent-guidance files to help AI agents navigate and develop consistently within a project. Use when onboarding to a new codebase, creating project documentation, or setting up agent guidance systems.

Generate comprehensive checklists to validate requirements quality (Unit Tests for Specs). Critically examine the spec for clarity, completeness, and consistency before implementation starts.

Search external documentation (web pages, API docs, papers) and generate useful summaries for development. Use when investigating new technologies, understanding third-party APIs, researching best practices, or gathering information for technical decisions. Reduces hallucinations and expands agent knowledge.

Expert guidance on secure coding practices, focusing on preventing common security errors made by AI during code generation. Use for: auditing AI-generated code, implementing secure design patterns, and ensuring code follows OWASP Top 10 standards. Covers input validation, authentication, cryptography, file handling, secure configuration, and business logic security.

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md. Identifying inconsistencies, duplications, ambiguities, and underspecified items.

Identify underspecified areas in the current feature spec by asking targeted clarification questions and encoding answers back into the spec.

Keep project documentation (.agentss/project-index.md and sub-skills) in sync with codebase changes.

Generate comprehensive test suites ensuring requirements are met. Strategies for Unit, Integration, and E2E testing.

Automate the generation and maintenance of unit, integration, and end-to-end tests, as well as test data generation and debugging. Use when writing tests for new features, maintaining existing tests after API/UI changes, generating synthetic test data, or debugging test failures. Essential for ensuring code quality and preventing regressions.