π―Skills28
Provides pattern-based recommendations and best practices for React component composition, guiding developers towards more modular and reusable component design.
wide-events skill from front-depiction/claude-setup
effect-ai-streaming skill from front-depiction/claude-setup
Explores and analyzes code patterns in parallel across multiple files or directories, providing context-aware suggestions and potential optimizations based on detected patterns.
the-vm-standard skill from front-depiction/claude-setup
effect-concurrency-testing skill from front-depiction/claude-setup
Generates standardized service implementation code with predefined patterns and configurations for rapid backend development.
Provides pattern-based suggestions and guardrails for using Effect's functional programming language model constructs in TypeScript code, focusing on improving type safety and reducing null/undefin...
writing-laws skill from front-depiction/claude-setup
command-executor skill from front-depiction/claude-setup
context-witness skill from front-depiction/claude-setup
typeclass-design skill from front-depiction/claude-setup
domain-modeling skill from front-depiction/claude-setup
platform-abstraction skill from front-depiction/claude-setup
Manages atomic state transformations and provides predictable state management patterns for code generation and refactoring.
effect-ai-tool skill from front-depiction/claude-setup
domain-predicates skill from front-depiction/claude-setup
legal-review skill from front-depiction/claude-setup
effect-ai-prompt skill from front-depiction/claude-setup
react-vm skill from front-depiction/claude-setup
pattern-matching skill from front-depiction/claude-setup
ai-context-writer skill from front-depiction/claude-setup
layer-design skill from front-depiction/claude-setup
Validates and composes JSON/TypeScript schemas by detecting and suggesting structural improvements or enforcing composition patterns across schema definitions.
effect-ai-provider skill from front-depiction/claude-setup
Systematically transforms raw requirements into structured, testable specifications through a rigorous six-phase workflow that ensures clear design and implementation planning before coding.
Writes comprehensive tests for Effect-based applications using @effect/vitest and vitest, covering services, layers, async operations, and property testing.
Implements robust, type-safe error handling in Effect using tagged errors, recovery patterns, and precise error channel management.
