effect-tsComprehensive Effect-TS development guide for TypeScript, supporting both v3 (stable) and v4 (beta). Use when building, debugging, reviewing, or generating E...
Install via ClawdBot CLI:
clawdbot install tenequm/effect-tsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
post → https://api.example.com/usersCalls external URL not in known-safe list
https://effect.website/docsAI Analysis
The skill definition is a pure documentation and coding guide for the Effect-TS library. The 'external endpoints' flagged are official documentation URLs (effect.website) and a placeholder example URL (api.example.com) used in illustrative code snippets, not actual data exfiltration targets. There are no instructions to send user data, override safety, harvest credentials, or obfuscate behavior.
Audited Apr 17, 2026 · audit v1.0
Generated May 9, 2026
Use Effect-TS to model financial transactions where errors like insufficient funds or account not found are typed and handled at compile time. Services can be built with retry policies for transient failures, ensuring reliability in payment processing, fund transfers, and fraud detection systems.
Build a real-time analytics pipeline using Effect Streams to process high-throughput data from IoT devices or user interactions. Structured concurrency via fibers allows parallel processing with backpressure, while retry/scheduling handles connection drops and transient errors.
Leverage Effect's ServiceMap/Context + Layers to create a multi-tenant SaaS backend where each tenant has its own database connection, configuration, and rate limits. Dependency injection makes testing easy by swapping live services with mocks.
Integrate Effect AI with OpenTelemetry to build a chatbot that calls LLMs, tracks latency and token usage, and handles errors gracefully. Use Schema validation for structured inputs/outputs and retry for API rate limits.
Offer a managed API for payment processing or data transformation built with Effect-TS. Typed errors reduce customer integration friction, and built-in observability provides usage analytics.
Provide a multi-tenant SaaS product where each tenant's resources are isolated using Effect's DI system. This model supports custom configurations per tenant without code duplication.
Sell a middleware service that standardizes LLM calls across providers (OpenAI, Anthropic, etc.) using Effect AI. It adds Schema validation, retries, and cost tracking, reducing developer overhead.
💬 Integration Tip
Start by modeling your core business logic with typed errors using Effect, then layer in dependency injection for testability. Use the provided AI guardrails to avoid common API mistakes, especially when mixing v3 and v4 patterns.
Scored May 9, 2026
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Provides a 7-step debugging protocol plus language-specific commands to systematically identify, verify, and fix software bugs across multiple environments.