Skill UI

Automate Everhour time-tracking tasks through Composio’s toolkit and Rube MCP, always discovering current tool schemas before executing workflows and reusing session context.

A comprehensive guide to diagnosing and resolving common errors encountered when using the Evernote API. It covers three main exception types—User, System, and Not Found—and provides practical solutions, including ENML validation, rate limit retry mechanisms, and safe resource retrieval patterns, ensuring robust application integration.

A comprehensive workflow for implementing advanced search and retrieval features within Evernote. It allows users to build complex queries using search grammar, filter notes by tags, notebooks, dates, and completion status, and paginates through large result sets. The service also enriches results by mapping GUIDs to human-readable names for notebooks and tags.

This skill helps manage and optimize resource usage and API costs within Evernote integrations. It provides utilities for monitoring monthly upload quotas, compressing images, resizing large files, and performing storage cleanup to prevent exceeding account limits and ensuring efficient data handling.

This skill details best practices for handling and structuring Evernote data. It covers designing local database schemas (SQL), advanced ENML content processing (to Markdown/HTML), managing attachments, and implementing reliable incremental synchronization using Update Sequence Numbers (USN). Ideal for developers building robust applications requiring deep, local data access and integrity checks for Evernote content.

A comprehensive toolkit designed to debug and troubleshoot Evernote API integrations. It provides deep logging of requests, responses, and timings. Features include an instrumented client wrapper for zero-config tracing, ENML content validation with auto-fix capabilities, and token inspection utilities to diagnose connectivity issues and quota limits.

Implement robust Role-Based Access Control (RBAC) specifically for Evernote integrations. This guide covers multi-tenant architectures, handling Evernote Business accounts, defining granular permissions (READ, WRITE, FULL), and creating authorization middleware. Essential for building secure, enterprise-grade SaaS applications that manage shared corporate data.

A comprehensive guide providing a minimal working example for integrating with the Evernote Cloud API. It covers basic note creation, demonstrates the required ENML (Evernote Markup Language) format, and teaches core operations like listing notebooks and retrieving note details. Ideal for developers starting a new integration or testing API setup.

This runbook provides comprehensive, step-by-step procedures for managing critical incidents involving Evernote integrations. It covers diagnosing API outages, resolving persistent rate limits, handling authentication failures, and recovering from data synchronization issues. Use this guide during production troubleshooting or service outages to ensure rapid and systematic incident response, including circuit breaker activation and graceful degradation strategies.

This guide provides a comprehensive walkthrough for setting up the Evernote SDK and implementing OAuth 1.0a authentication. It details the entire process, from acquiring API keys via the developer portal, installing the SDK (for Node.js or Python), configuring environment variables, to initializing the client. Use this skill when starting a new Evernote integration or needing to verify secure API connectivity to the Evernote Cloud.

This guide provides a comprehensive setup for an efficient local development workflow when integrating with the Evernote API. It covers establishing a proper project structure, configuring sandbox credentials, and implementing both Developer Token and full OAuth flows. Use this when setting up testing environments and ensuring reliable API connectivity.

A comprehensive guide and toolkit for managing complex, large-scale data migration to and from Evernote. It covers essential processes including exporting notes in ENEX, Markdown, and JSON formats, importing structured data via ENML, and implementing robust migration runners with progress tracking and failure checkpointing. Ideal for developers handling massive data archives or cross-platform system integrations.