new-analyzer
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
114 skills found
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Self-healing Rust verification loop that automates test execution, clippy linting, and formatting checks.
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
Applies current Go testing best practices, including concurrent testing, mocking, and table-driven design for robust software development.
Automated high-quality VS Code screenshot capture using Playwright and serve-web for documentation, slide decks, and visual technical content.
Evaluate Deca agent prompts and behavioral consistency through automated test runners, manual LLM judgment, and structured reporting.
A testing skill designed to verify the functionality of the Skillet CLI by performing basic tasks and confirming completion.
Systematic debugging skill to trace errors backward through call stacks, identify original triggers, and implement layered defenses instead of patching symptoms.
Enforce high-quality Java 17+ coding standards, Spring Boot conventions, and maintainable project structures.
Orchestrate cross-browser, cross-device, and responsive design testing using cloud providers like BrowserStack and Playwright to ensure consistent user experiences.
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.
Implement consumer-driven contract testing for microservices using Pact, schema validation, and API versioning to prevent breaking changes and ensure distributed team coordination.