Browse published AI skills maintained by front-depiction. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
34Repository stars across indexed skills
376Repository forks
140Average repository stars per indexed skill
11Repository stars may repeat across skills from the same repository.
Master Effect pattern matching using Data.TaggedEnum, $match, $is, Match.typeTags, and Effect.match. Avoid manual _tag checks and Effect.either patterns. Use this skill when working with discriminated unions, A...
Write comprehensive tests using @effect/vitest for Effect code and vitest for pure functions. Use this skill when implementing tests for Effect-based applications, including services, layers, time-dependent eff...
Implement typeclasses with curried signatures and dual APIs for both data-first and data-last usage
Implement the VM pattern using Effect and Effect-Atom for reactive, testable frontend state management. Use this skill when building React applications with View Models that bridge domain services and UI.
Build composable React components using Effect Atom for state management. Use this skill when implementing React UIs that avoid boolean props, embrace component composition, and integrate with Effect's reactive...
Use @effect/platform abstractions for cross-platform file I/O, process spawning, HTTP clients, and terminal operations. Apply this skill when writing code that interacts with the filesystem, spawns processes, m...
Master Effect AI streaming response patterns including start/delta/end protocol, accumulation strategies, resource-safe consumption, and history management with SubscriptionRef.
Implement Effect services as fine-grained capabilities avoiding monolithic designs
Create and update ai-context.md files that document modules for AI assistants. Use when adding documentation for packages, apps, or external references that should be discoverable via /modules commands.
Conceptual guide to wide events (canonical log lines) for observability. Use when thinking about instrumentation strategy, span annotations, or designing what context to capture.
Implement typed error handling in Effect using Data.TaggedError, catchTag/catchTags, and recovery patterns. Use this skill when working with Effect error channels, handling expected failures, or designing error...
Build prompts for Effect AI using messages, parts, and composition operators. Covers the complete Prompt API for constructing, merging, and manipulating conversations with language models.
Design and compose Effect layers for clean dependency management
Parallel exploration of codebase questions by decomposing into independent tracks. Use when exploring architecture, understanding systems, or investigating complex questions that benefit from multiple perspecti...
Configure and compose AI provider layers using @effect/ai packages. Covers Anthropic, OpenAI, OpenRouter, Google, and Amazon Bedrock providers with config management, model abstraction, and runtime overrides fo...
Master Effect Schema composition patterns including Schema.compose vs Schema.pipe, transformations, filters, and validation. Use this skill when working with complex schema compositions, multi-step transformati...
Decide between Context Tag witness and capability patterns for dependency injection, understanding coupling trade-offs
Execute system commands and manage processes using Effect's Command module from @effect/platform. Use this skill when spawning child processes, running shell commands, capturing command output, or managing long...
Test Effect concurrency primitives including PubSub, Deferred, Latch, Fiber coordination, SubscriptionRef, and Stream. Use this skill when testing concurrent effects, event-driven systems, or fiber coordination...
Generate comprehensive predicates and orders for domain types using typeclass patterns
Implement reactive state management with Effect Atom for React applications
Orchestrate lawyer agents to review code for compliance with codebase laws. Spawns counsel in parallel to produce a unified legal brief.
Master the Effect AI LanguageModel service for text generation, structured output, streaming, and tool calling. Use when working with LLM interactions, schema-validated responses, or building conversational AI...
Create production-ready Effect domain models using Schema.TaggedStruct for ADTs, Schema.Data for automatic equality, with comprehensive predicates, orders, guards, and match functions. Use when modeling domain...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.