graphify-sf

What problem does it solve?

Large Salesforce orgs store critical metadata dependencies across thousands of scattered XML files and Setup screens, making it extremely time-consuming to trace relationships like which trigger fires on a specific object, which Flow writes to a field an Apex class reads, or which Profile grants access to unused metadata. Grep and string search only find text matches, not actual dependency relationships, and manual Setup navigation is impractical for large projects.

Core Features & Use Cases

• Fully Offline Metadata Parsing: Extracts all SFDX metadata entities (Apex classes, triggers, Flows, Custom Objects, LWC/Aura components, Profiles, Permission Sets, etc.) directly from local source files with no org connection or SFDX CLI required.
• Provenance-Tagged Relationship Mapping: Maps real dependencies between metadata, with every edge tagged as EXTRACTED (from explicit XML) or INFERRED (from source patterns) so you always know if a relationship is a confirmed fact or a best guess.
• Use Case: Use this skill for impact analysis before making metadata changes, tracing dependency chains for debugging, exploring org architecture for onboarding, or generating ground truth data for AI coding agents working with Salesforce projects.

Quick Start

Use the graphify-sf skill to build a queryable knowledge graph of your current Salesforce SFDX project directory.