Individual skill
onenote-performance-tuning
Improve OneNote read and write latency from measured evidence while preserving completeness and service limits. Use when an integration misses a latency or throughput objective. Trigger with "tune OneNote performance", "reduce OneNote calls", or "optimize OneNote paging".
plugins/saas-packs/onenote-pack/skills/onenote-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- onenote Declared skill tag
- performance Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,000 bytesreferences/official-docs.mddoc · 2,696 bytes
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# OneNote Measured Performance Tuning
## Overview
Improve OneNote read and write latency from measured evidence while preserving completeness and service limits.. This workflow produces an auditable decision or artifact before any live action.
## Prerequisites
- Current first-party Microsoft Graph OneNote documentation and the selected integration's tested contract.
- Named identity, content, workload, security, and operations owners appropriate to the requested scope.
- Synthetic or approved non-production fixtures with secrets and real notebook content removed.
## Current Contract
Microsoft recommends selecting only required properties, expanding safe hierarchy relationships, enumerating pages per section, and overriding the default last-modified ordering when that sort is unnecessary. Every response page still requires completeness accounting. Recheck the dated evidence map before relying on mutable permissions, limits, SDK behavior, supported resources, or cloud availability.