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evernote-migration-deep-diveEvernote 迁移深入探究

Agent Skill

evernote-migration-deep-dive 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

564

周安装

24

GitHub Stars

2,103

下载量

198
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:evernote-migration-deep-dive(Evernote 迁移深入探究)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/evernote-migration-deep-dive
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill evernote-migration-deep-dive
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill evernote-migration-deep-dive

简介

evernote-migration-deep-dive 提供数据导入导出的全面迁移指南,支持 ENEX 格式、批量操作与格式转换。

  • 适用于从其他系统迁移至 Evernote 或进行大规模数据同步的项目。
  • 涵盖 ENML 转 Markdown、HTML 转 ENML 及数据完整性校验技术细节。
  • 使用前需确认源/目标系统访问权限与足够 API 配额,注意含系统命令需谨慎审查。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Evernote Migration Deep Dive

Current State

!npm list 2>/dev/null | head -5

Overview

Comprehensive guide for migrating data to and from Evernote, including ENEX export/import, bulk API operations, format conversions (ENML to Markdown, HTML to ENML), and data integrity verification.

Prerequisites

  • Understanding of Evernote data model (Notes, Notebooks, Tags, Resources)
  • Source/target system access credentials
  • Sufficient API quota for migration volume
  • Backup strategy in place before starting

Instructions

Step 1: Migration Planning

Assess the migration scope: count notes, notebooks, tags, and total resource size. Estimate API call count and quota consumption. Plan for rate limits (add delays between operations).

async function assessMigration(noteStore) {
  const notebooks = await noteStore.listNotebooks();
  const tags = await noteStore.listTags();
  let totalNotes = 0;

  for (const nb of notebooks) {
    const filter = new Evernote.NoteStore.NoteFilter({ notebookGuid: nb.guid });
    const spec = new Evernote.NoteStore.NotesMetadataResultSpec({});
    const result = await noteStore.findNotesMetadata(filter, 0, 1, spec);
    totalNotes += result.totalNotes;
  }

  return {
    notebooks: notebooks.length,
    tags: tags.length,
    totalNotes,
    estimatedApiCalls: totalNotes * 2 + notebooks.length + tags.length,
    estimatedTimeMinutes: Math.ceil((totalNotes * 2 * 200) / 60000) // 200ms per call
  };
}

Step 2: Export from Evernote

Export notes in three formats: ENEX (Evernote's XML format, preserves everything including resources), JSON (structured data for programmatic use), or Markdown (human-readable, loses some formatting).

async function exportToMarkdown(noteStore, noteGuid) {
  const note = await noteStore.getNote(noteGuid, true, true, false, false);
  const text = enmlToMarkdown(note.content);

  return {
    title: note.title,
    content: text,
    tags: note.tagNames || [],
    created: new Date(note.created).toISOString(),
    resources: (note.resources || []).map(r => ({
      filename: r.attributes.fileName,
      mime: r.mime,
      size: r.data.size
    }))
  };
}

Step 3: Import to Evernote

Convert source data to ENML format, create notebooks to match source structure, and bulk-create notes with rate limit handling. Verify each import by comparing note counts and content hashes.

Step 4: Migration Runner

Build a migration runner with progress tracking, checkpointing (resume from failure), and verification. Log every operation for audit trail.

For the full migration planner, ENEX parser, format converters, migration runner, and verification tools, see Implementation Guide.

Output

  • Migration assessment tool (note count, estimated time, quota needs)
  • ENEX, JSON, and Markdown exporters
  • ENML importer with format conversion
  • Migration runner with progress tracking and checkpoint/resume
  • Post-migration verification (count comparison, content hash check)

Error Handling

ErrorCauseSolution
QUOTA_REACHEDUpload quota exceeded during importWait for quota reset or upgrade account tier
RATE_LIMIT_REACHEDToo many API calls during bulk migrationIncrease delay between operations, use checkpointing
BAD_DATA_FORMATSource content not valid ENMLValidate and sanitize content before import
Lost resourcesAttachments not migratedVerify resource hashes match after migration

Resources

Examples

Export all notes to Markdown: Iterate through all notebooks, export each note as a Markdown file with frontmatter (title, tags, date), save resources to assets/ directory, preserving notebook-as-folder structure.

Import from Notion: Parse Notion export (Markdown + CSV), convert to ENML, create matching notebooks, and bulk-import with checkpoint/resume for large exports (10,000+ pages).

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.79%
按下载量换算73

Claude

30.02%
按下载量换算59

Cursor

20.14%
按下载量换算40

Gemini CLI

9.83%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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