sf-ai-agentforce-observability

SKILL.md

sf-ai-agentforce-observability: Agentforce Session Tracing Extraction & Analysis

Use this skill when the user needs trace-based observability, not just testing: extract Session Tracing Data Model (STDM) records, work with Parquet datasets, reconstruct session timelines, analyze topic/action latency, or debug agent behavior from Data 360 telemetry.

When This Skill Owns the Task

Use sf-ai-agentforce-observability when the work involves:

Data 360 / Session Tracing extraction

.parquet files from Agentforce telemetry

session timeline reconstruction

trace-driven debugging of topic routing, action failures, or latency

Polars / PyArrow-based analysis of large telemetry datasets

Delegate elsewhere when the user is:

formally testing agents → sf-ai-agentforce-testing

debugging Apex logs → sf-debug

authoring or reconfiguring the agent itself → sf-ai-agentforce or sf-ai-agentscript