Claude-code-plugins-plus-skills evernote-core-workflow-b

install

source · Clone the upstream repo

git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/evernote-pack/skills/evernote-core-workflow-b" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-evernote-core-workflow-b && rm -rf "$T"

manifest: plugins/saas-packs/evernote-pack/skills/evernote-core-workflow-b/SKILL.md

Evernote Core Workflow B: Search & Retrieval

Overview

Comprehensive search and retrieval workflow for Evernote, including search grammar, filters, pagination, related notes discovery, and result enrichment with notebook/tag names.

Prerequisites

Completed
```
evernote-install-auth
```
setup
Understanding of Evernote search grammar
Valid access token configured

Instructions

Step 1: Search Service Foundation

Build a

SearchService

wrapping

findNotesMetadata()

. Use

NoteFilter

for query terms, sort order, and notebook scope. Use

NotesMetadataResultSpec

to control which metadata fields are returned (title, dates, tags, notebook GUID).

const filter = new Evernote.NoteStore.NoteFilter({
  words: 'tag:urgent notebook:"Work"',
  ascending: false,
  order: Evernote.Types.NoteSortOrder.UPDATED
});

const spec = new Evernote.NoteStore.NotesMetadataResultSpec({
  includeTitle: true, includeUpdated: true,
  includeTagGuids: true, includeNotebookGuid: true
});

const result = await noteStore.findNotesMetadata(filter, 0, 50, spec);

Step 2: Advanced Search Grammar Builder

Implement a fluent

QueryBuilder

class that chains operators:

notebook("Work")

tag("urgent")

intitle("meeting")

createdAfter(date)

hasUncompletedTodos()

hasAttachments()

. Call

.build()

to produce the query string. Use

any:

prefix for OR logic.

const query = new QueryBuilder()
  .notebook('Work')
  .tag('urgent')
  .lastNDays(7)
  .hasUncompletedTodos()
  .build();
// Result: 'notebook:"Work" tag:"urgent" created:day-7 todo:false'

Step 3: Paginated Search Results

Use an async generator to iterate through large result sets page by page. Track

offset

and compare against

totalNotes

to determine when to stop. Default page size of 50-100 balances API calls versus response size.

Step 4: Related Notes Discovery

Call

noteStore.findRelated()

with a

RelatedQuery

(by note GUID or plain text) and

RelatedResultSpec

to discover related notes, notebooks, and tags.

Step 5: Search Result Enrichment

Cache notebook and tag lookups, then map GUIDs to human-readable names. Return enriched results with

notebookName

tags[]

created

, and

updated

fields.

For the full

SearchService

QueryBuilder

, pagination, and enrichment implementations, see Implementation Guide.

Search Grammar Quick Reference

Operator	Example	Description
`notebook:`	`notebook:"Work"`	Restrict to notebook
`tag:`	`tag:urgent`	Has tag
`-tag:`	`-tag:archived`	Exclude tag
`intitle:`	`intitle:meeting`	Word in title
`created:`	`created:day-7`	Created within last 7 days
`updated:`	`updated:week`	Updated this week
`todo:`	`todo:false`	Has uncompleted todos
`resource:`	`resource:image/*`	Has attachment type
`any:`	`any: term1 term2`	Match ANY term (default is AND)

Output

```
SearchService
```
with text search, notebook search, and tag search
Fluent
```
QueryBuilder
```
for composing search grammar queries
Async generator for paginated results
Related notes discovery via
```
findRelated()
```
Enriched results with notebook and tag names

Error Handling

Error	Cause	Solution
`RATE_LIMIT_REACHED`	Too many search calls	Add delay between paginated requests
`BAD_DATA_FORMAT`	Invalid search grammar syntax	Validate query with `QueryBuilder`
`QUOTA_REACHED`	Search quota exceeded	Reduce search frequency, cache results

Resources

Next Steps

For error handling patterns, see

evernote-common-errors

Examples

Find action items: Search for notes with uncompleted todos from the past week using

QueryBuilder().thisWeek().hasUncompletedTodos().build()

. Enrich results with notebook names.

Meeting search: Find all notes titled "meeting" in the "Work" notebook from the last 30 days, paginate through results, and export titles with tags.