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evernote-data-handling

Best practices for handling Evernote data. Use when implementing data storage, processing notes, handling attachments, or ensuring data integrity. Trigger with phrases like "evernote data", "handle ev

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Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/evernote-pack/skills/evernote-data-handling/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill evernote-data-handling. Copyright stays with the author (MIT).

Evernote Data Handling

Overview

Best practices for handling Evernote data including ENML content processing, attachment management, local database sync, and ENEX export/import.

Prerequisites

  • Understanding of Evernote data model (Notes, Notebooks, Tags, Resources)
  • Database for local storage (SQLite, PostgreSQL, etc.)
  • File storage for attachments

Instructions

Step 1: Data Schema Design

Design a local database schema that mirrors Evernote's data model. Key tables: notes (guid, title, content, notebookGuid, created, updated, USN), notebooks (guid, name, stack), tags (guid, name), resources (guid, noteGuid, mime, hash, size). Track Update Sequence Numbers (USN) for incremental sync.

CREATE TABLE notes (
  guid TEXT PRIMARY KEY,
  title TEXT NOT NULL,
  content TEXT,
  notebook_guid TEXT REFERENCES notebooks(guid),
  created BIGINT,
  updated BIGINT,
  usn INTEGER DEFAULT 0
);

Step 2: ENML Content Processing

Parse ENML to extract plain text (strip tags), convert to HTML (replace <en-note> with <body>, resolve <en-media> to <img>/<a> tags), or convert to Markdown. Validate ENML before sending to the API by checking for required declarations and forbidden elements.

function enmlToPlainText(enml) {
  return enml
    .replace(/<\?xml[^>]*\?>/g, '')
    .replace(/<!DOCTYPE[^>]*>/g, '')
    .replace(/<[^>]+>/g, ' ')
    .replace(/\s+/g, ' ')
    .trim();
}

Step 3: Resource (Attachment) Handling

Download resources via noteStore.getResource(guid, withData, ...). Store binary data locally with the MD5 hash as filename. Track MIME types for proper content-type serving. Compute hashes for integrity verification.

Step 4: Sync Data Manager

Implement incremental sync using getSyncState() to get the current server USN, then getSyncChunk() to fetch changes since your last sync. Process chunks in order: notebooks first, then tags, then notes, then resources.

const syncState = await noteStore.getSyncState();
if (syncState.updateCount > lastSyncUSN) {
  const chunk = await noteStore.getSyncChunk(lastSyncUSN, 100, true);
  // Process chunk.notebooks, chunk.tags, chunk.notes, chunk.resources
}

Step 5: Data Export

Export notes to ENEX (Evernote's XML export format), JSON, or Markdown. ENEX preserves the full note structure including resources and is compatible with Evernote import.

For the complete data schema, sync manager, ENML processor, and export implementations, see Implementation Guide.

Output

  • SQL schema for local Evernote data storage
  • ENML-to-text and ENML-to-HTML converters
  • Resource download and local storage manager
  • Incremental sync engine using USN tracking
  • ENEX, JSON, and Markdown export utilities

Error Handling

Error Cause Solution
BAD_DATA_FORMAT Malformed ENML during update Validate ENML with DTD check before API call
QUOTA_REACHED Upload limit exceeded Check user.accounting.uploaded before creating notes
DATA_CONFLICT Note modified since last read Refetch note by GUID and merge changes
Sync chunk gaps Missed USN range Request full sync from USN 0

Resources

Next Steps

For enterprise features, see evernote-enterprise-rbac.

Examples

Local mirror: Sync all notes to a local SQLite database using incremental sync. Store resources on disk keyed by MD5 hash. Use the local mirror for full-text search without API calls.

Markdown export: Convert all notes in a notebook to Markdown files, preserving folder structure from notebook stacks, and saving attachments to an assets/ directory.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-evernote-data-d53c30/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-evernote-data-d53c30.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-evernote-data-d53c30",
  "kind": "skill",
  "name": "evernote-data-handling",
  "description": "Best practices for handling Evernote data. Use when implementing data storage, processing notes, handling attachments, or ensuring data integrity. Trigger with phrases like \"evernote data\", \"handle evernote notes\", \"evernote storage\", \"process evernote content\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "saas",
      "evernote",
      "evernote-data",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Best practices for handling Evernote data. Use when implementing data storage, processing notes, handling attachments, or ensuring data integrity. Trigger with phrases like \"evernote data\", \"handle evernote notes\", \"evernote storage\", \"process evernote content\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "plugins/saas-packs/evernote-pack/skills/evernote-data-handling/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/plugins/saas-packs/evernote-pack/skills/evernote-data-handling/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/plugins/saas-packs/evernote-pack/skills/evernote-data-handling/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# Evernote Data Handling\n\n## Overview\n\nBest practices for handling Evernote data including ENML content processing, attachment management, local database sync, and ENEX export/import.\n\n## Prerequisites\n\n- Understanding of Evernote data model (Notes, Notebooks, Tags, Resources)\n- Database for local storage (SQLite, PostgreSQL, etc.)\n- File storage for attachments\n\n## Instructions\n\n### Step 1: Data Schema Design\n\nDesign a local database schema that mirrors Evernote's data model. Key tables: `notes` (guid, title, content, notebookGuid, created, updated, USN), `notebooks` (guid, name, stack), `tag",
  "cost": {
    "context_tokens": 975
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-evernote-data-d53c30/manifest?version=1.0.0

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