Loading...
Loading...
Found 2,117 Skills
Builds multi-step forms with validation schemas (Zod/Yup), step components, shared state management, progress indicators, review steps, and error handling. Use when creating "multi-step forms", "wizard flows", "onboarding forms", or "checkout processes".
Expert guidance for ElysiaJS web framework development. Use when building REST APIs, GraphQL services, or WebSocket applications with Elysia on Bun. Covers routing, lifecycle hooks, TypeBox validation, Eden type-safe clients, authentication with JWT/Bearer, all official plugins (OpenAPI, CORS, JWT, static, cron, GraphQL, tRPC), testing patterns, and production deployment. Assumes bun-expert skill is active for Bun runtime expertise.
Multi-model consensus council for validation, research, and brainstorming. Spawns parallel judges with configurable perspectives and optional explorer sub-agents using runtime-native backends (Codex sub-agents or Claude teams). Modes: validate, brainstorm, research. Triggers: council, validate, brainstorm, critique, research, analyze, multi-model, consensus.
Shared domain models for Revet libraries - Metadata, Identifier, SchemaValidation
Use when designing data ownership, validation boundaries, consistency models, or configuration strategy in Python. Also use when encountering unclear ownership across modules, shared mutable state leaking between layers, validation gaps at ingress, cross-module transactional coupling, or config drift between environments.
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Implement data quality checks, validation rules, and monitoring. Use when ensuring data quality, validating data pipelines, or implementing data governance.
Generates production-ready FastGPT workflow JSON from natural language requirements. Uses AI-powered semantic template matching from built-in workflows (document translation, sales training, resume screening, financial news). Performs three-layer validation (format, connections, logic completeness). Supports incremental modifications to add/remove/modify nodes. Activates when user asks to "create FastGPT workflow", "generate workflow JSON", "design FastGPT application", or mentions workflow automation, multi-agent systems, or FastGPT templates.
Validates Stories/Tasks with GO/NO-GO verdict, Readiness Score (1-10), Penalty Points, and Anti-Hallucination verification. Auto-fixes to reach 0 points, delegates to ln-002 for docs. Use when reviewing Stories before execution or when user requests validation.
Expert guide for managing application configuration including environment variables, config files, secrets management, and multi-environment setups. Use when handling .env files, config validation, or configuration architecture.
Validate and fix GFM links in PR descriptions. TRIGGERS - PR links, gh pr create, GFM validation, broken PR links.
Expert model design decisions for iOS/tvOS: when DTO separation adds value vs overkill, validation strategy selection, immutability trade-offs, and custom Codable decoder design. Use when designing data models, implementing API contracts, or debugging decoding failures. Trigger keywords: Codable, DTO, domain model, CodingKeys, custom decoder, validation, immutable, struct, mapping, JSON decoding