agentforce-observe
SkillAnalyze production Agentforce agent behavior using session traces and Data Cloud. TRIGGER when: user queries STDM session data or Data Cloud trace records; investigates production agent failures, regressions, or performance issues; asks about session traces, conversation logs, or agent metrics; want
Install
git clone https://github.com/SalesforceAIResearch/agentforce-adlc.git ~/.claude/skills/agentforce-observeWhat is agentforce-observe?
Analyze production Agentforce agent behavior using session traces and Data Cloud. TRIGGER when: user queries STDM session data or Data Cloud trace records; investigates production agent failures, regressions, or performance issues; asks about session traces, conversation logs, or agent metrics; wants to reproduce a reported production issue in preview; runs findSessions or trace analysis queries. DO NOT TRIGGER when: user creates, modifies, or debugs .agent files during development (use agentforce-generate); writes or runs test specs (use agentforce-test); uses sf agent preview for local development iteration; deploys or publishes agents.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
~162 tokens of context used while enabled, before you invoke anything
All declared tools (1)
Bash Read Write Edit Glob GrepDocumentation
README · ~11 min readAgentforce Observability
Improve Agentforce agents using session trace data and live preview testing.
Three-phase workflow:
- Observe -- Query STDM sessions from Data Cloud (if available), OR run test suites + preview with local traces as fallback
- Reproduce -- Use
sf agent previewto simulate problematic conversations live - Improve -- Edit the
.agentfile directly, validate, publish, verify
Platform Notes
- Shell examples below use bash syntax. On Windows, use PowerShell equivalents or Git Bash.
- Replace
python3withpythonon Windows.
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →build-mcp-server
This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to Claude", "make an MCP app", or discusses building something with the Model Context Protocol. It is the entry point for MCP server development
32.8K stars
cardputer-buddy
Iterate on the Cardputer-Adv MicroPython app bundle (Claude Buddy, Snake, Hello) after the device is already provisioned via m5-onboard. Use when the user wants to add a new app, push a single changed .py without re-flashing, watch device serial logs, or run a one-shot REPL command. Trigger on "add
32.8K stars
build-mcp-app
This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", build "MCP UI resources", make a tool that shows a "form", "picker", "dashboard" or "confirmation dialog" inline in the conversation, or mentions "app
32.8K stars
Plugins
All plugins →chrome-devtools-mcp
Control and inspect a live Chrome browser from your coding agent. Record performance traces, analyze network requests, check console messages with source-mapped stack traces, and automate browser actions with Puppeteer.
47.9K stars
mcp-tunnels
Connect Claude to a private MCP server through an Anthropic MCP tunnel. The /create-docker-mcp-tunnel command drives the Docker Compose quickstart end to end: certificates, proxy config, cloudflared, and a verifiable sample server.
32.9K stars
mcp-server-dev
Skills for designing and building MCP servers that work seamlessly with Claude. Guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and interactive MCP apps.
32.9K stars
Subagents
All subagents →code-explorer
Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development
32.8K stars
agentic-flow
Easily switch between alternative low-cost AI models in Claude Code/Agent SDK. For those comfortable using Claude agents and commands, it lets you take what you've created and deploy fully hosted agents for real business purposes. Use Claude Code to get the agent working, then deploy it in your favorite cloud.
783 stars
retro-analyst
Reliability pattern analyst for retrospectives, recurring-incident clustering, and systemic improvement recommendations.
1 stars
MCP Servers
All mcp servers →Commands
All commands →help
Get help with FiftyOne skills, understand available workflows, and troubleshoot setup issues
32.8K stars
create-docker-mcp-tunnel
Stand up an Anthropic MCP tunnel locally with Docker Compose so Claude can call a private MCP server (manual-credentials quickstart).
32.8K stars
setup-devops-agent
Set up the AWS DevOps Agent MCP connection
2.2K stars