Skill UI

Deploy Juicebox integrations straight to cloud platforms with structured configuration steps, secret management, and health checks so production-ready services can be rolled out consistently and monitored post-deployment.

This module provides a compliance-grade, tamper-evident logging solution for tracking all Kling AI operations. It records task submissions, status changes, and credential usage into structured, hashed logs. Use this when meeting regulatory compliance requirements or preparing for internal/external security audits.

A comprehensive utility for structured logging, request tracing, and diagnostic purposes when integrating with the Kling AI API. It automatically captures request/response pairs, task lifecycle events, and detailed timing metrics for every API call, making troubleshooting video generation pipelines efficient and systematic. Ideal for developers building robust, observable AI applications.

A comprehensive guide to mastering asynchronous programming using Kotlin Coroutines and Flow. Covers advanced topics such as structured concurrency, robust exception handling, and creating reactive data streams with StateFlow and SharedFlow. Essential for developing high-performance, modern Kotlin applications.

Guides Kotlin developers with idiomatic coroutine, Flow, Compose, Ktor, and multiplatform implementations, ensuring null safety, structured concurrency, and type-safe DSLs when building apps across Android, server, and shared modules.

Guides setting up a LangChain local dev loop with structured project layout, pytest fixtures, and tooling for hot reload plus dev dependencies so you can rapidly iterate and test chains and agents.

Establish Prometheus-driven monitoring, structured JSON logging, health checks, and Grafana dashboards for Linear integrations to track request throughput, latency, rate limits, and webhooks while triggering alerts on issues.

Implement robust, structured logging for API requests, capturing performance metrics, correlation IDs, and detailed security audit trails. This skill ensures compliance by handling PII redaction and providing comprehensive, JSON-formatted logs suitable for ELK Stack or Loki. Essential for debugging, performance analysis, and maintaining SOC 2 compliance in distributed microservices.

A structured playbook for rapidly diagnosing and resolving production incidents related to Lokalise localization services. It guides users through essential quick diagnostics (API health, token validity, rate limits) and provides a decision tree for common failure modes, such as missing or stale translations, API outages, and upload failures, ensuring swift mitigation and postmortem readiness.

This comprehensive SDK provides tools for building enterprise-grade AI agents integrated across the Microsoft 365 ecosystem, including Teams and Copilot Studio. It supports advanced features such as Express hosting, structured routing, streaming responses via Azure OpenAI, and direct client integration, enabling developers to build sophisticated business automation solutions.

This skill provides a comprehensive guide to implementing observability for MaintainX API integrations. It covers best practices for structured logging, Prometheus metrics collection (Counters, Histograms, Gauges), API request tracing using Axios interceptors, and setting up health and alerting endpoints. Use this when you need to monitor API reliability, detect performance degradation, and ensure rapid issue detection in your connected services.

Structured steps for automating Mapbox workflows through Composio’s Rube MCP, covering prerequisites, discovery, execution, and schema compliance so you always hit the current toolkit state safely.