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Found 1,482 Skills
TypeScript support for type-safe Regle form validation, rules, and component props.
Answer questions about ArkEnv and help implement environment variable validation. Use when developers: (1) Ask about environment variable validation or typesafety, (2) Want to setup ArkEnv in a project, (3) Need to define or update schemas using ArkType or Standard Schema, (4) Are integrating with Vite, Bun, or other runtimes. Triggers on: 'ArkEnv', 'env validation', 'typesafe env', 'createEnv', 'env.ts', '@arkenv/cli'.
Forms have three layers of guidance: helper text below the input explains what to enter, placeholder shows the expected format, and validation confirms correctness. Real-time validation for complex inputs. Submit enables only when the form is valid. Use when designing or reviewing any form, input field, or data entry UI.
Salesforce Metadata API reference for creating, understanding, or modifying metadata XML files (.object-meta.xml, .flow-meta.xml, etc.) and any of 604 metadata types (CustomObject, Flow, ApexClass, ApexTrigger, Profile, PermissionSet, Layout, ValidationRule, RecordType, EmailTemplate, ...). Use for questions about a type's fields or XML format, or Salesforce DX project structure (force-app/main/default). TRIGGER when: authoring or editing any *-meta.xml file, asking what fields/format a metadata type has, or whenever 'Salesforce metadata' or 'sfdx project' is mentioned. DO NOT TRIGGER when: SOQL/DML/runtime sObject access (use the Enterprise API skill), Tooling API developer records (ApexExecutionOverlayAction, TraceFlag), or non-XML logic (Apex code, LWC JS, Visualforce controllers).
Create product positioning and messaging frameworks with validation and iteration guidance.
Use when you need to apply data-oriented programming best practices in Java — including separating code (behavior) from data structures using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures converting to specific types when needed, ensuring data integrity through pure validation functions, and creating flexible generic data access layers. Part of the skills-for-java project
Debug FastAPI applications systematically with this comprehensive troubleshooting skill. Covers async/await issues, Pydantic validation errors (422 responses), dependency injection failures, CORS configuration problems, database session management, and circular import resolution. Provides structured four-phase debugging methodology with FastAPI-specific tools including uvicorn logging, OpenAPI docs, and middleware debugging patterns.
Create an actionable Laravel implementation plan—bite-sized tasks with TDD-first steps, migrations, services, jobs, and validation points
Pre-deployment validation for Webflow Code Components. Checks bundle size, dependencies, prop configurations, SSR compatibility, styling setup, and common issues before running webflow library share.
Use this skill when users need to create, generate, or validate Salesforce List View metadata. Trigger when users mention list views, filtered record lists, creating views, setting up record columns, filtering records by criteria, or ask about list view visibility. Also use when users say things like "I need a view that shows...", "filter records by...", "create a list view for...", or when they're working with ListView XML files and need validation or troubleshooting.
Zod 4 — TypeScript-first schema validation with static type inference. Use when writing Zod schemas, validating data, defining types with Zod, parsing input, creating form validation schemas, defining API request/response schemas, working with z.object, z.string, z.number, z.enum, z.array, z.union, z.discriminatedUnion, z.file, z.jwt, z.email, z.uuid, z.url, z.codec, z.toJSONSchema, z.fromJSONSchema, z.int, z.stringbool, z.templateLiteral, z.record, z.partialRecord, or any other Zod API. Also use when migrating from Zod 3 to Zod 4, or when the user's package.json shows zod@^4. CRITICAL: Always use Zod 4 APIs. Never use deprecated Zod 3 patterns unless user explicitly requests Zod 3 compatibility.
Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns.