salesforce-performance-tuning

Installation
SKILL.md

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.

Current Contract

Salesforce offers versioned query and limits resources; query performance feedback through REST explain is explicitly Beta. Query plans, indexes, object cardinality, automation cost, and limits depend on the target org and must be measured.

Installs
4
GitHub Stars
2.8K
First Seen
Mar 25, 2026