solid-start-server-runtime
Expert guidance for SolidStart server runtime, including request events, middleware, server functions, and API architecture.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
407 skills found
Expert guidance for SolidStart server runtime, including request events, middleware, server functions, and API architecture.
Standardized debugging and diagnostic guidelines for AI coding agents.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Guided statistical analysis with test selection, assumption checking, power analysis, and APA-formatted reporting for academic and experimental research.
Write, structure, and maintain technical documentation like READMEs, API docs, runbooks, and architecture specs to keep your team aligned and informed.
A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.
Mutation testing patterns for JS/TS using Stryker. Analyze branch code to find weak or missing tests, verify test effectiveness, and strengthen Node.js test suites.
Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.
Generate professional MATLAB plain text Live Scripts (.m files) with rich text documentation, mathematical equations, and visualization code following specific formatting standards.
Generates GitHub-compatible Mermaid diagrams with tested color palettes, local SVG/PNG preview, and gist-based rendering support.
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
Validate test suite effectiveness and uncover weak assertions by introducing code mutations and measuring kill rates. Essential for proving tests genuinely catch bugs rather than just satisfying coverage metrics.