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Found 501 Skills
Hypera infrastructure URLs and endpoints reference. Use when user asks about URLs, domains, ingress endpoints, cluster API servers, application URLs, Helm repositories, Git repositories, or needs to check connectivity to services. Provides quick lookup of all external URLs across all environments (hub, dev, prd) and clusters (cafehyna, loyalty, painelclientes, sonora).
X API v2 available endpoints. Use when working with the X API v2 or when the user needs to interact with this API.
HTTP actions for webhooks and API endpoints in Convex. Use when building webhook handlers (Stripe, Clerk, GitHub), creating REST API endpoints, handling file uploads/downloads, or implementing CORS for browser requests.
Defines REST endpoints using Minimal APIs with OpenAPI documentation via Scalar. Use when: Creating or modifying API endpoints in Sorcha services, adding new routes, configuring endpoint authentication, or documenting APIs.
Consulta fondos comunes de inversion de Argentina (CAFCI) usando endpoints de lectura de Anduin. Usar cuando el usuario pida fondos por categoria, historico de un fondo, rendimiento por periodo, comparacion entre fondos, rankings de rendimiento, categorias, stats agregadas, fechas disponibles o ficha/detalle de un fondo.
College Football (CFB) data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, AP/Coaches rankings, and news for NCAA Division I FBS. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, or CFB news. Includes AP Top 25, Coaches Poll, and CFP rankings. Don't use when: user asks about NFL (use nfl-data), other college sports (use cbb-data for basketball), or non-sports topics.
Patterns and structure for writing API reference documentation including endpoint descriptions, request/response schemas, and error documentation.
Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML database schemas, integrating trained models with applications, or when user mentions FastAPI ML endpoints, prediction forms, model serving, ML API deployment, inference integration, or production ML deployment.
Analyze and optimize Xano workspace performance. Use when the user wants to find slow endpoints, trace execution bottlenecks, deep-dive request stacks, or understand why their Xano API is slow. Also use when the user mentions "performance," "slow endpoint," "bottleneck," "stack trace," or "optimization."
Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment'. PREFER azure-prepare FOR app-centric workflows.
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Design RESTful and GraphQL APIs following best practices. Use when creating new APIs, refactoring existing endpoints, or documenting API specifications. Handles OpenAPI, REST, GraphQL, versioning.