sf-ai-agentforce-observability
CommunityScale Agentforce tracing: extract, analyze, and debug.
Authorronitnuguru
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Agentforce session tracing data is large and complex; this Skill enables scalable extraction and analysis from Salesforce Data Cloud to support debugging and performance insights.
Core Features & Use Cases
- Extract STDM data (sessions, interactions, steps, messages) to Parquet for efficient storage and analysis.
- Analyze traces with Polars to detect patterns, bottlenecks, and escalation paths across agents.
- Use cases include debugging sessions, performance optimization, and compliance auditing for data-trace workflows.
Quick Start
Run the stdm-extract CLI to pull recent sessions and then analyze results with the STDMAnalyzer in Python.
Dependency Matrix
Required Modules
httpxpyarrowpyjwtcryptographypolarsrichclickpydantic
Components
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: sf-ai-agentforce-observability Download link: https://github.com/ronitnuguru/Package-Visualizer/archive/main.zip#sf-ai-agentforce-observability Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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