When your Agentforce agent misbehaves in production, this skill helps you figure out why. It queries session trace data from Data Cloud's STDM layer, finds patterns in failures or regressions, then lets you reproduce the exact conversation in preview mode and edit the agent file to fix it. The workflow is observe, reproduce, improve. If your org doesn't have STDM enabled yet, it falls back to running test suites and analyzing local traces instead. One nice detail: it handles the annoying double-nested path bug that sf project retrieve creates and auto-resolves agent names between MasterLabel and DeveloperName formats. Aimed at the moment when someone reports "the agent stopped working" and you need to dig into what actually happened.

skills.sh installs
255
GitHub stars
117
last updated
Aug 21, 2026

Install

$ npx -y skills add salesforceairesearch/agentforce-adlc --skill observing-agentforce --agent claude-code

Installs into .claude/skills of the current project.

Files

When your Agentforce agent misbehaves in production, this skill helps you figure out why. It queries session trace data from Data Cloud's STDM layer, finds patterns in failures or regressions, then lets you reproduce the exact conversation in preview mode and edit the agent file to fix it. The workflow is observe, reproduce, improve. If your org doesn't have STDM enabled yet, it falls back to running test suites and analyzing local traces instead. One nice detail: it handles the annoying double-nested path bug that sf project retrieve creates and auto-resolves agent names between MasterLabel and DeveloperName formats. Aimed at the moment when someone reports "the agent stopped working" and you need to dig into what actually happened.

Browse the repository on GitHub

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Details

Repository
github.com/salesforceairesearch/agentforce-adlc
Categories
Testing & QA, Git & Pull Requests, AI & Agent Building, Debugging, Cloud & Infrastructure
First seen
Jun 3, 2026

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