Individual skill
salesforce-performance-tuning
Analyze and tune Salesforce query, pagination, batching, caching, automation, and asynchronous performance using measured org evidence. Use when resolving latency or throughput problems. Trigger with "tune Salesforce performance".
plugins/saas-packs/salesforce-pack/skills/salesforce-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,917
- 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
- salesforce Declared skill tag
- performance Declared skill tag
- soql Declared skill tag
- query-plan Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,297 bytes
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# Evidence-Driven Salesforce Performance Tuning
## Overview
Optimize the end-to-end workload without trading correctness, permission enforcement, shared capacity, or recovery for a synthetic benchmark.
## Prerequisites
- Representative workload, latency and throughput objectives, business invariant, and current telemetry
- Queries, object volumes, selectivity, pagination, automation, locks, API mode, limits, and downstream timing
- Authorized performance org or sandbox, synthetic dataset, stop thresholds, and rollback owner
## Tool Discipline
Use `Read`, `Glob`, and `Grep` to inspect approved repository and evidence files, `WebFetch` to re-check current first-party Salesforce documentation, and `Write` or `Edit` only for secretless plans, fixtures, configuration, and redacted receipts.