evernote-cost-tuning
Optimize Evernote integration costs and resource usage. Use when managing API quotas, reducing storage usage, or optimizing upload limits. Trigger with phrases like "evernote cost", "evernote quota", "evernote limits", "evernote upload".
What this skill does
# 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.
```javascript
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).
```javascript
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](references/implementation-guide.md).
## Account Limits Reference
| Limit | Basic | Premium | Business |
|-------|-------|---------|----------|
| Monthly upload | 60 MB | 10 GB | 20 GB/user |
| Single note size | 25 MB | 200 MB | 200 MB |
| Notebooks | 250 | 250 | 10,000 |
| Tags | 100,000 | 100,000 | 100,000 |
| Notes | 100,000 | 100,000 | 500,000 |
## 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
| Error | Cause | Solution |
|-------|-------|----------|
| `QUOTA_REACHED` | Monthly upload limit exceeded | Wait for quota reset at `uploadLimitEnd` |
| `LIMIT_REACHED` | Too many notebooks or tags | Delete unused notebooks, merge duplicate tags |
| `DATA_REQUIRED` | Empty note after optimization | Ensure note still has content after compression |
| `BAD_DATA_FORMAT` | Attachment hash mismatch | Recompute MD5 hash after image compression |
## Resources
- [Account Limits](https://help.evernote.com/hc/articles/209005247)
- [Rate Limits](https://dev.evernote.com/doc/articles/rate_limits.php)
- [API Reference - User.accounting](https://dev.evernote.com/doc/reference/)
## 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.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.