BDD-prompts-with-eval
An AI-driven active listening framework to extract, clarify, and structure requirements, business values, and scope from ambiguous user stories.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
491 skills found
An AI-driven active listening framework to extract, clarify, and structure requirements, business values, and scope from ambiguous user stories.
Development guide for creating custom nodes in FlowGram.ai workflows, supporting both auto-generated simple forms and complex custom UI components.
A suite of .NET engineering skills for Domain-Driven Design (DDD), EF Core persistence, BDD-style unit testing, and IDE-like semantic code understanding with Serena MCP.
Expert guidance for SolidStart server runtime, including request events, middleware, server functions, and API architecture.
Manage Obsidian vault operations: file creation, YAML frontmatter, wiki-links, and templated note processing for PKM systems.
Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.
A framework for creating reusable Claude Code agent skills, following best practices for directory structure, progressive disclosure, and multi-file patterns.
Enforce clean architecture for Bun.js apps: layered patterns (routes/controllers/services/repos), camelCase naming conventions, Prisma schema design, and structured implementation workflows.
Standardized Git workflow for pattern development, including rebase strategies, pull request creation, and upstream synchronization for collaborative community repository management.
Provides Jest testing patterns and best practices for interpreters, parsers, and async TypeScript code in the Lea language repository.
Development guide for self-improving MassGen via programmatic automation testing and visual UI/UX evaluation.
Advanced prompt rewriting and optimization service. Analyzes prompts for clarity, specificity, and structure, providing actionable improvements, variations for testing, and prompt engineering best practices.