EV

evernote-cost-tuning

Techniques for managing Evernote API usage, storage limits, and file resource costs effectively.

Install

mkdir -p .claude/skills/evernote-cost-tuning && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3093" && unzip -o skill.zip -d .claude/skills/evernote-cost-tuning && rm skill.zip

Installs to .claude/skills/evernote-cost-tuning

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Optimize Evernote integration costs and resource usage.
55 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Monitor monthly upload quota status, including used, remaining, and reset date.
  • Compress images by resizing and converting formats before attaching to notes.
  • Estimate note size to check against remaining quota before creation.
  • Identify and clean up large notes to reclaim storage space.
  • Set up threshold-based alerts for upload usage.

How it works

This skill queries Evernote user accounting data to track upload quotas and provides methods to optimize resource usage by compressing images and estimating note sizes before upload. It also supports identifying large notes for cleanup and setting up alerts.

Inputs & outputs

You give it
Evernote user account data, note content, image files
You get back
Quota status (MB used/remaining, percent used, reset date), optimized image files, estimated note sizes, alerts

When to use evernote-cost-tuning

  • Monitoring monthly upload quotas
  • Compressing images before note attachment
  • Resizing large assets to save space
  • Implementing quota-aware logic for app features

About this skill

Evernote Cost Tuning

Overview

Optimize resource usage and manage costs in Evernote integrations, focusing on monthly upload quotas, storage efficiency, image compression, and account limit monitoring.

Prerequisites

  • Understanding of Evernote account tiers (Basic: 60MB/mo, Premium: 10GB/mo, Business: 20GB/mo)
  • Access to user quota information via user.accounting
  • Monitoring infrastructure for alerts

Instructions

Step 1: Quota Monitoring

Query userStore.getUser() to access user.accounting which contains uploadLimit, uploaded, and uploadLimitEnd. Calculate remaining quota and percentage used.

async function getQuotaStatus(userStore) {
  const user = await userStore.getUser();
  const { uploadLimit, uploaded, uploadLimitEnd } = user.accounting;
  return {
    totalMB: Math.round(uploadLimit / 1024 / 1024),
    usedMB: Math.round(uploaded / 1024 / 1024),
    remainingMB: Math.round((uploadLimit - uploaded) / 1024 / 1024),
    percentUsed: Math.round((uploaded / uploadLimit) * 100),
    resetsAt: new Date(uploadLimitEnd)
  };
}

Step 2: Resource Optimization

Compress images before attaching to notes. Resize large images to a maximum dimension (e.g., 1920px). Convert PNG screenshots to JPEG for smaller file sizes. Skip attaching files that exceed the single-note size limit (25MB for Basic, 200MB for Premium).

function estimateNoteSize(content, resources = []) {
  const contentBytes = Buffer.byteLength(content, 'utf8');
  const resourceBytes = resources.reduce((sum, r) => sum + r.data.size, 0);
  return contentBytes + resourceBytes;
}

function canUpload(noteSize, remainingQuota) {
  return noteSize < remainingQuota;
}

Step 3: Efficient Note Creation

Check quota before creating notes with large attachments. Use findNotesMetadata() for read operations (zero upload cost). Batch small notes into single notes where appropriate.

Step 4: Storage Cleanup

Find large notes consuming quota. List notes sorted by content length to identify optimization candidates. Remove unused resources and delete notes in trash to reclaim space.

Step 5: Quota Alerts

Send alerts when upload usage exceeds thresholds (e.g., 75%, 90%, 95%). Log quota status after each upload operation for trend analysis.

For the complete quota monitor, image optimizer, cleanup utilities, and alert system, see Implementation Guide.

Account Limits Reference

LimitBasicPremiumBusiness
Monthly upload60 MB10 GB20 GB/user
Single note size25 MB200 MB200 MB
Notebooks25025010,000
Tags100,000100,000100,000
Notes100,000100,000500,000

Output

  • Quota monitoring service with percentage tracking
  • Image compression pipeline for resource optimization
  • Pre-upload quota check with size estimation
  • Storage cleanup utilities for large notes
  • Threshold-based alert system for quota usage

Error Handling

ErrorCauseSolution
QUOTA_REACHEDMonthly upload limit exceededWait for quota reset at uploadLimitEnd
LIMIT_REACHEDToo many notebooks or tagsDelete unused notebooks, merge duplicate tags
DATA_REQUIREDEmpty note after optimizationEnsure note still has content after compression
BAD_DATA_FORMATAttachment hash mismatchRecompute MD5 hash after image compression

Resources

Next Steps

For architecture patterns, see evernote-reference-architecture.

Examples

Quota dashboard: Build a dashboard showing current upload usage (MB used / total), days until reset, largest notes by size, and projected usage based on recent trends.

Image pipeline: Before attaching images, resize to max 1920px width, convert PNG to JPEG at 80% quality, check resulting size against remaining quota, and skip if insufficient.

When not to use it

  • When the monthly upload limit has been exceeded.
  • When the number of notebooks or tags exceeds account limits.
  • When an optimized note becomes empty after compression.

Prerequisites

Understanding of Evernote account tiers (Basic: 60MB/mo, Premium: 10GB/mo, Business: 20GB/mo)Access to user quota information via `user.accounting`Monitoring infrastructure for alerts

Limitations

  • Subject to Evernote account tiers and their respective monthly upload limits.
  • Subject to single note size limits (25MB for Basic, 200MB for Premium).
  • Requires recomputing MD5 hash after image compression to avoid `BAD_DATA_FORMAT` errors.

How it compares

This skill automates the process of monitoring and optimizing Evernote resource usage, providing proactive management of quotas and storage, unlike manual checks and adjustments.

Compared to similar skills

evernote-cost-tuning side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
evernote-cost-tuning (this skill)127dNo flagsIntermediate
fastapi-templates5202moNo flagsIntermediate
android-kotlin-development2685moReviewAdvanced
mcp-builder1363moReviewAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

More by jeremylongshore

View all by jeremylongshore

analyzing-logs

jeremylongshore

Analyze application logs to detect performance issues, identify error patterns, and improve stability by extracting key insights.

14123

ollama-setup

jeremylongshore

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

1167

backtesting-trading-strategies

jeremylongshore

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".

1071

generating-database-seed-data

jeremylongshore

Process this skill enables AI assistant to generate realistic test data and database seed scripts for development and testing environments. it uses faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. u... Use when working with databases or data models. Trigger with phrases like 'database', 'query', or 'schema'.

1033

cursor-codebase-indexing

jeremylongshore

Execute set up and optimize Cursor codebase indexing. Triggers on "cursor index setup", "codebase indexing", "index codebase", "cursor semantic search". Use when working with cursor codebase indexing functionality. Trigger with phrases like "cursor codebase indexing", "cursor indexing", "cursor".

885

testing-mobile-apps

jeremylongshore

Execute mobile app testing on iOS and Android devices/simulators. Use when performing specialized testing. Trigger with phrases like "test mobile app", "run iOS tests", or "validate Android functionality".

810

You might also like

fastapi-templates

wshobson

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

5201,086

android-kotlin-development

aj-geddes

Develop native Android apps with Kotlin. Covers MVVM with Jetpack, Compose for modern UI, Retrofit for API calls, Room for local storage, and navigation architecture.

268679

mcp-builder

anthropics

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

136215

fastapi-pro

sickn33

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.

79181

api-design-principles

wshobson

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.

72170

telegram-bot-builder

davila7

Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API, user experience, monetization strategies, and scaling bots to thousands of users. Use when: telegram bot, bot api, telegram automation, chat bot telegram, tg bot.

106130

Search skills

Search the agent skills registry