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Found 1,213 Skills
Composes, debugs, and optimizes Guillotine GraphQL queries for Enonic XP headless content delivery. Covers query construction, variable usage, filtering, aggregation, pagination, sorting, and TypeScript type generation from the auto-generated Guillotine schema. Use when writing or troubleshooting Guillotine queries, querying custom content types through GraphQL, or generating typed interfaces from Guillotine responses. Don't use for content type XML definitions, non-Enonic GraphQL APIs (Apollo, Hasura), server-side lib-content queries, or Guillotine deployment and CORS configuration.
Generates Enonic XP controller files (TypeScript/JavaScript) and paired XML descriptors for pages, parts, and layouts. Covers lib-portal imports, HTTP handler exports, region definitions, Thymeleaf/Mustache rendering, and response processors. Use when scaffolding page controllers with regions, part controllers with config access, layout controllers with multi-region support, or response processors for Enonic XP sites. Do not use for content type schemas, headless Next.js/React frontends, GraphQL Guillotine queries, or non-Enonic web frameworks.
Generates Enonic XP content type XML schema definitions from natural-language descriptions. Covers structured content modeling including input types, form layout, option sets, item sets, mixins, x-data, and content-type inheritance. Use when creating, scaffolding, or generating Enonic XP content type definitions, adding fields or sets to existing content types, or querying Enonic XP input types and super-types. Do not use for non-Enonic CMS content modeling, GraphQL queries, JavaScript/TypeScript controllers, or generic XML editing unrelated to Enonic schemas.
This skill automatically generates a comprehensive glossary of terms from a learning graph's concept list, ensuring each definition is precise, concise, distinct, non-circular, and free of business rules. Use this skill when creating a glossary for an intelligent textbook after the learning graph concept list has been finalized.
Currency handling patterns for the Dinero.js money library. Use when working with multiple currencies, converting between currencies, defining custom currencies, storing monetary values in databases, or integrating with payment services like Stripe or PayPal. Triggers on currency conversion, database schema design for money, or payment API integration with Dinero objects.
Use when choosing a testing approach for a project — selecting frameworks, defining coverage thresholds, setting up test infrastructure, and establishing testing patterns. Triggers: new project setup, CI/CD pipeline design, coverage audit, test framework migration, quality standard definition.
Use when the user needs marketing copy, social media content, brand voice development, ad copy, newsletters, or persuasive writing for business audiences. Trigger conditions: social media post drafting, email campaign copy, landing page text, ad copy creation, brand voice definition, content calendar planning, headline writing, A/B test copy variations, newsletter composition.
Create or update a RootSpec specification — interview-driven with built-in validation and derived artifact generation. Use this when a user wants to define, expand, revise, or reinterpret their product specification, add features, or edit any spec level.
Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.
Guides FastAPI backend design using Domain-Driven Design (DDD) and Onion Architecture in Python. Use when structuring a FastAPI app (routes/handlers, Pydantic schemas, Depends-based DI), modeling domain Entities/Value Objects, defining repository interfaces, implementing SQLAlchemy infrastructure adapters, or writing use cases, based on the dddpy reference.
Creates structured agent definitions using the 7-component format grounded in persona science (PRISM), vocabulary routing, and failure mode taxonomy (MAST). Produces agents with real-world job titles, expert domain vocabulary payloads (15-30 terms), explicit deliverables, decision boundaries, imperative SOPs, and named anti-pattern watchlists. Use this skill when the user wants to create an agent, define a role, build a persona, or needs a specialized AI assistant for a specific domain. Also triggers when Mission Planner delegates agent creation for team roles. Works for any domain — software, marketing, security, operations, design, writing, research, and more. Do NOT use for creating skills (use Skill Creator) or team composition (use Mission Planner).
Apply when defining service.json routes, choosing public vs segment vs private URL prefixes for VTEX IO services, or setting HTTP cache headers that interact with the VTEX edge and CDN. Covers path patterns, cookie visibility, edge caching behavior, and aligning Cache-Control with data sensitivity. Use for Node or .NET IO backends where request path and response headers determine CDN safety.