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Found 364 Skills
Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production security hardening that are easy to miss.
CRM integration patterns for Close CRM, HubSpot, and Salesforce. Use when: Close CRM, HubSpot, Salesforce, CRM API, lead sync, deal sync, activity logging, CRM webhook, pipeline automation, contact enrichment.
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.
Create a new evlog framework integration to add automatic wide-event logging to an HTTP framework. Use when adding middleware/plugin support for a framework (e.g., Hono, Elysia, Fastify, Express, NestJS) to the evlog package. Covers source code, build config, package exports, tests, example app, and all documentation.
Creates an API Gateway stage with CloudWatch logging, X-Ray tracing, throttling, WAF integration, and IAM roles following AWS best practices. Use when deploying a REST API to different environments such as dev, test, or production.
Guide for configuring Nginx web server with custom request logging, rate limiting, and error pages. This skill should be used when tasks involve Nginx installation, configuration, custom log formats, rate limiting setup, or custom error page creation.
Scaffold, status-check, and manage specification directories. Handles auto-incrementing IDs, README tracking, phase transitions, and decision logging in docs/specs/. Used by both specify and implement workflows.
Create and secure S3 buckets following AWS best practices for access control, encryption, monitoring, and remediation of misconfigurations. Use when the user wants to secure a new bucket, audit an existing bucket, fix a security finding, configure encryption, or enable logging and monitoring. Do NOT use for general S3 data operations, S3 Tables setup, or discovering existing data assets.
Structured logging strategy including log levels, correlation IDs, context propagation, and PII avoidance. Use when designing logging, reviewing log statements, or setting up log aggregation.
Use when working with iii SDK APIs across Node.js, browser, Python, or Rust: package installation, worker initialization, function/trigger registration, invocation, channels, logging, OpenTelemetry, and language-specific caveats.
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.