Skill UI

Automate ElevenLabs TTS workflows via Composio MCP by generating speech, exploring voices/models, checking subscription limits, streaming audio, and retrieving historical files.

Guides DevOps users through managing environment variables with best practices, code/config generation, and validation while covering foundational version control, containerization, CI/CD, and infrastructure topics.

A comprehensive, AI-assisted methodology for diagnosing complex software errors in production environments. This skill guides users through the entire debugging lifecycle, from initial triage and gathering observability data (Sentry, DataDog, Jaeger) to generating hypotheses, selecting appropriate debugging strategies (Time-Travel, Chaos Engineering), and performing AI-powered root cause analysis. It culminates in proposing validated fixes and prevention measures.

Automates API Integration error mapping by guiding best practices, generating production-ready code, and validating configurations whenever an error mapping helper workflow is requested.

Auto-activating skill that assists with API Etag handler tasks, guiding REST/GraphQL/OpenAPI/authentication patterns, generating production-ready code, and validating standards.

This tool collects comprehensive diagnostic information for Exa API issues. It generates a structured debug bundle that includes environment details (Node, OS), API connectivity tests, and detailed request/response payloads. Use this bundle when encountering persistent Exa issues and filing a support ticket to ensure quick and accurate troubleshooting by the support team.

This skill provides the production-ready reference architecture for integrating Exa into complex applications. It covers advanced search pipelines, RAG implementation for context generation, and structured content discovery. Use this to design new Exa integrations, review project structures, or establish industry-standard best practices for neural search systems.

Generates Excalidraw diagrams from natural-language prompts, turning requests such as “make a flowchart” or “draw a system architecture” into ready-to-open .excalidraw JSON files for flows, relationships, mind maps, and architectures.

Auto-activating backend helper that guides Express route design, produces production-ready code/config, and validates outputs for Node.js, Python, Go, and microservices scenarios.

Automates guidance for implementing factory patterns within test automation, offering best-practice code generation, validation, and setup assistance for unit, integration, and mocking scenarios.

This skill provides guidance and patterns for generating structured JSON files that define complex workflow pipelines. It is essential for chaining multiple distinct AI models together, enabling multi-step, automated data processing. Use this when a single task requires a sequence of interconnected AI operations or services.

Automates FAQ creation within the technical documentation workflow, offering guidance, best practices, sample configurations, and validation to help teams produce clear API docs, user guides, and architecture write‑ups.