New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Evernote Rate Limits

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Handle Evernote API rate limits effectively. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedBackend & APIs

Install Evernote Rate Limits

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill evernote-rate-limits -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace evernote-rate-limits --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/evernote-rate-limits .claude/skills/evernote-rate-limits && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
evernote-rate-limits
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
360 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Handle Evernote API rate limits effectively. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 5 steps: Rate Limit Handler → Rate-Limited Client Wrapper → Batch Operations with Rate Limiting → …
  • Implementing rate limit handling
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Evernote Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Handle Evernote API rate limits effectively. Use when implementing rate limit handling, optimizing API usage, or troubleshooting rate limit errors. Trigger with phrases like "evernote rate limit", "evernote throttling", "api quota evernote", "rate limit exceeded".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Rate limiting. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Implementing rate limit handling
  • Optimizing API usage
  • Troubleshooting rate limit errors
  • With phrases like evernote rate limit

Example prompts

  • “evernote rate limit”
  • “evernote throttling”
  • “api quota evernote”
  • “/evernote-rate-limits”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Rate Limit Handler
  2. Rate-Limited Client Wrapper
  3. Batch Operations with Rate Limiting
  4. Avoiding Rate Limits
  5. Rate Limit Monitoring

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • dev.evernote.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Evernote Rate Limits loads about 1.1k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 360 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 360 words, ~1,132 tokens.

Download SKILL.mdSave it as .claude/skills/evernote-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
evernote-rate-limits
description
Handle Evernote API rate limits effectively. Use when implementing rate limit handling, optimizing API usage, or troubleshooting rate limit errors. Trigger with phrases like "evernote rate limit", "evernote throttling", "api quota evernote", "rate limit exceeded".
allowed-tools
Read, Write, Edit, Grep
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, evernote, api

Evernote Rate Limits

Overview

Evernote enforces rate limits per API key, per user. When exceeded, the API throws EDAMSystemException with errorCode: RATE_LIMIT_REACHED and rateLimitDuration (seconds to wait). Production integrations must handle this gracefully.

Prerequisites

  • Evernote SDK setup
  • Understanding of async/await patterns
  • Error handling implementation

Instructions

Step 1: Rate Limit Handler

Catch EDAMSystemException and check for rateLimitDuration. Implement exponential backoff: wait the specified duration, then retry. Track retry attempts to avoid infinite loops.

javascript
async function withRateLimitRetry(operation, maxRetries = 3) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      return await operation();
    } catch (error) {
      if (error.rateLimitDuration && attempt < maxRetries - 1) {
        const waitMs = error.rateLimitDuration * 1000;
        console.log(`Rate limited. Waiting ${error.rateLimitDuration}s...`);
        await new Promise(r => setTimeout(r, waitMs));
        continue;
      }
      throw error;
    }
  }
}
Step 2: Rate-Limited Client Wrapper

Wrap the NoteStore with a class that adds configurable delays between API calls. Use a request queue to prevent bursts. Track request timestamps for monitoring.

javascript
class RateLimitedClient {
  constructor(noteStore, minDelayMs = 100) {
    this.noteStore = noteStore;
    this.minDelayMs = minDelayMs;
    this.lastRequestTime = 0;
  }

  async call(method, ...args) {
    const elapsed = Date.now() - this.lastRequestTime;
    if (elapsed < this.minDelayMs) {
      await new Promise(r => setTimeout(r, this.minDelayMs - elapsed));
    }
    this.lastRequestTime = Date.now();
    return withRateLimitRetry(() => this.noteStoremethod);
  }
}
Step 3: Batch Operations with Rate Limiting

Process items sequentially with delay between each operation. On rate limit, wait and retry the failed item. Report progress via callback. Collect successes and failures.

Step 4: Avoiding Rate Limits

Strategies to minimize API calls: cache listNotebooks() and listTags() results, use findNotesMetadata() instead of getNote() for listings, request only needed fields in NotesMetadataResultSpec, batch reads with sync chunks instead of individual fetches.

Step 5: Rate Limit Monitoring

Track request counts, rate limit hits, average response times, and wait times. Log statistics periodically to identify optimization opportunities.

For the complete rate limiter, batch processor, monitoring dashboard, and optimization examples, see Implementation Guide.

Show full SKILL.md (150 more words)Show less

Output

  • Automatic retry with exponential backoff on rate limit errors
  • Request queue with configurable minimum delay between calls
  • Batch processor with progress tracking and failure collection
  • Rate limit monitoring with request/error statistics
  • API call optimization strategies (caching, metadata-only queries)

Error Handling

ScenarioResponse
First rate limit hitWait rateLimitDuration seconds, retry
Repeated rate limitsIncrease minDelayMs, reduce batch size
Rate limit during syncPause sync, wait, resume from last USN
Rate limit on initial setupRequest rate limit boost from Evernote support

Resources

Next Steps

For security considerations, see evernote-security-basics.

Examples

Batch note export: Export 1,000 notes with 200ms delay between API calls and automatic retry on rate limits. Track progress and report failures at the end.

High-throughput sync: Use getFilteredSyncChunk() to fetch changes in bulk (100 entries per call) instead of individual getNote() calls, reducing API call count by 100x.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/evernote-rate-limits of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Evernote Rate Limits next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Evernote Rate Limits compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Evernote Rate Limits this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Add Hosted Keysimstudioai/sim30k—~3.6kAutomated safety check: PassApache-2.0
Upstash Ratelimit TSupstash/ratelimit-js2k—~313Automated safety check: PassMIT
Repo2skillzhangyanxs/repo2skill246—~3.6kAutomated safety check: PassNone
Better Auth Security Best PracticesEpicenterHQ/epicenter4.8k—~896Automated safety check: PassCustom licence
Dload Fetch Toolphp-internal/dload105—~1.1kAutomated safety check: PassBSD-3-Clause

Similar skills

  • Add Hosted Key

    simstudioai/sim

    Add hosted API key support to a tool so Sim provides the key (metered and billed to the workspace) when a user has not brought their own.

    30k GitHub stars~3.6k tokensUpdated today
    Backend & APIsAuto-check passed

  • Upstash Ratelimit TS

    upstash/ratelimit-js

    Official

    Lightweight guidance for using the Redis Rate Limit TypeScript SDK, including setup steps, basic usage, and pointers to advanced algorithm, features, pricing, and traffic‑protection docs.

    2k GitHub stars~313 tokensUpdated 16 days ago
    Backend & APIsAuto-check passed

  • Repo2skill

    zhangyanxs/repo2skill

    Convert GitHub/GitLab/Gitee repositories into comprehensive OpenCode Skills using embedded LLM calls with multiple mirrors and rate limit handling

    246 GitHub stars~3.6k tokensUpdated 7 mo ago
    Backend & APIsAuto-check passed

  • Better Auth Security Best Practices

    EpicenterHQ/epicenter

    Better Auth security hardening: rate limits, secrets, CSRF, trusted origins, cookies, sessions, OAuth tokens, and audit logging.

    4.8k GitHub stars~896 tokensUpdated 3 days ago
    Backend & APIsAuto-check passed

  • Dload Fetch Tool

    php-internal/dload

    Get a CLI tool — native binary or PHAR — from a GitHub release into a project folder with dload (vendor/bin/dload).

    105 GitHub stars~1.1k tokensUpdated today
    Backend & APIsAuto-check passed

  • API Gateway

    itsmostafa/aws-agent-skills

    AWS API Gateway for REST and HTTP API management. An agent skill from itsmostafa/aws-agent-skills.

    1.2k GitHub stars~2.2k tokensUpdated 5 days ago
    Backend & APIsAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Categories

Questions about Evernote Rate Limits

What does Evernote Rate Limits do?

Handle Evernote API rate limits effectively. An agent skill from jeremylongshore/tons-of-skills-marketplace. Evernote Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Handle Evernote API rate limits effectively.

When should I use Evernote Rate Limits?

Evernote Rate Limits fits situations like: implementing rate limit handling; optimizing API usage; troubleshooting rate limit errors; with phrases like evernote rate limit.

How do I install Evernote Rate Limits in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill evernote-rate-limits -a claude-code`. Or copy the skill folder (skills/.curated/evernote-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/evernote-rate-limits in your project. Claude Code loads it when a task matches its description.

How do I install Evernote Rate Limits in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill evernote-rate-limits -a codex`. Or copy the skill folder (skills/.curated/evernote-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/evernote-rate-limits in your project. Codex loads it when a task matches its description.

Can I use Evernote Rate Limits in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill evernote-rate-limits -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evernote-rate-limits, .gemini/skills/evernote-rate-limits, .github/skills/evernote-rate-limits and .opencode/skills/evernote-rate-limits in your project.

What does Evernote Rate Limits need to run?

SKILL.md names no scripts, command-line tools or credentials: Evernote Rate Limits is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Evernote Rate Limits access the network?

SKILL.md names 1 domain. As links in the text: dev.evernote.com. This is read from the text; nothing was executed.

Is Evernote Rate Limits safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Evernote Rate Limits use?

Evernote Rate Limits is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Evernote Rate Limits use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.

What are the alternatives to Evernote Rate Limits?

Skills that share tags, products or a category with Evernote Rate Limits: Add Hosted Key (simstudioai/sim, 30k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), Repo2skill (zhangyanxs/repo2skill, 246 stars) and Better Auth Security Best Practices (EpicenterHQ/epicenter, 4.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evernote Rate Limits?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.