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Found 555 Skills
Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance. Triggers on: "production checklist", "harden agent", "production ready", "secure agent", "inbound auth", "going live", "cold start optimization", "session lifecycle", "StopRuntimeSession", "quota", "throttling", "maxVms", "rate limit", "security audit of outbound API calls", "gateway target audit for production", "restrict who can call", "lock down endpoint", "only our app can call". Not for Cedar tool-restriction policies — use agents-connect. Not for quality measurement — use agents-optimize. Not for outbound credential storage or API key wiring — use agents-connect. Not for A2A agent-to-agent auth — use agents-build. Cold start observation and diagnosis (not optimization) routes to agents-debug.
Use when writing or reviewing n8n SDK code that wires IF, Switch, Merge, error outputs, or any multi-input/multi-output connection. Triggers on .add(), .to(), .input(n), .output(n), .onTrue, .onFalse, .onCase, .onError, useDataOfInput, merge, switch, IF nodes, error branches, fan-out, fan-in, or any review of the workflow's connections object.
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion.
Crear o actualizar Architecture Decision Records (ADRs) en docs/adr/. Activar siempre que el usuario quiera documentar, registrar, actualizar o cambiar el estado de una decisión arquitectónica — incluso si no usa la palabra "ADR". Frases que activan este skill: "registrar decisión", "documentar por qué usamos X", "dejar constancia de esta elección técnica", "decision record", "cambiar ADR a Accepted", "marcar como Superseded", "crear ADR", "actualizar ADR", "nuevo ADR", "ADR-XXX". Usar también cuando el usuario describa una tensión arquitectónica que deba quedar documentada.
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining).
Advanced Clippy configuration for comprehensive Rust linting with custom rules, categories, and IDE integration. Use when configuring linting rules, enforcing code standards, setting up CI linting, or customizing clippy behavior. Trigger terms: clippy, linting, code quality, clippy.toml, pedantic, nursery, restriction, lint configuration, code standards.
Build container-based Foundry Agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating hosted agents that run custom code in Azure AI Foundry with your own container images. Triggers: "ImageBasedHostedAgentDefinition", "hosted agent", "container agent", "Foundry Agent", "create_version", "ProtocolVersionRecord", "AgentProtocol.RESPONSES", "custom agent image".
Rechazo de payloads que excedan el tamaño máximo permitido para prevenir ataques DoS
Project Lombok for reducing Java boilerplate. Covers annotations for getters, setters, constructors, builders, logging, and more. Based on production patterns from castellino and gestionale-presenze projects. USE WHEN: user mentions "lombok", "@Data", "@Builder", "@Slf4j", asks about "boilerplate reduction", "getters/setters", "@RequiredArgsConstructor", "@Value" DO NOT USE FOR: Java language features - use `java` skill instead DO NOT USE FOR: MapStruct integration - use `mapstruct` skill DO NOT USE FOR: Spring annotations - use `backend-spring-boot` skill
Generate AI videos using the Pollo AI API. Supports 13 leading models (Kling, Sora, Runway, Veo, Pixverse, Hailuo, Vidu, Luma, Pika, Wan, Seedance, Hunyuan, Pollo) with 50+ versions. It also supports task polling, credit cost estimation, and credit balance checks. Use this skill whenever the user wants to generate an AI video from text or image, use any AI video model, check Pollo credits, or mentions Pollo AI, pollo.ai, or any of the supported model names. Even if the user just says "generate a video" or "make me a short clip" without mentioning Pollo, this skill should be used.
Configurable gate validation skill. Use when running repository-local gate rules from gate_rules.yaml (command/structural/eda-contract), checking legacy experiment registry safety, or enforcing close-gate fail-closed validation.
Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.