Platform Tracing Agentforce Configure

Q: Why use Platform Tracing Agentforce Configure on TypingMind?

Because you install it once and use it with any model. Platform Tracing Agentforce Configure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Platform Tracing Agentforce Configure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/platform-observability/skills/platform-tracing-agentforce-configure. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Platform Tracing Agentforce Configure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Platform Tracing Agentforce Configure?

As many as you like. As long as a model supports skills, you can use Platform Tracing Agentforce Configure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Platform Tracing Agentforce Configure AI skill free?

Yes. It is published on GitHub by forcedotcom under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

OrganizationPopular

forcedotcom

platform-tracing-agentforce-configure

Generate AgentforcePlatformTracingSettings metadata to enable or disable Agentforce agent execution trace spans flowing to Data Cloud. Use this skill for any AgentforcePlatformTracingSettings metadata work. TRIGGER when: user mentions Agentforce tracing, agent trace spans, Data Cloud tracing, AgentforcePlatformTracingSettings, platform observability tracing, enable agent tracing, wants agent execution spans in Data Cloud, mentions .settings-meta.xml for AgentforcePlatformTracing, or asks about enabling observability for Agentforce agents. DO NOT TRIGGER when: user wants Platform Tracing for TraceSpanEvent (use platform-tracing-configure), wants to query or analyze existing agent trace data in Data Cloud (use agentforce-observe), wants Event Log Files or ELF configuration, wants Change Data Capture (use integration-eventing-cdc-configure), or wants ManagedEventSubscription (use integration-eventing-subscription-configure).

Overview

Publisher	forcedotcom
Repository	`sf-skills`
Skill name	`platform-tracing-agentforce-configure`
Stars	1.1K
Forks	351
Bundled files	1
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by forcedotcom on GitHub. Read the source before you install it.

Installation

Install the Platform Tracing Agentforce Configure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/platform-observability/skills/platform-tracing-agentforce-configure
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/platform-observability/skills/platform-tracing-agentforce-configure

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/forcedotcom/sf-skills.git /tmp/sf-skills
mkdir -p .claude/skills
cp -r /tmp/sf-skills/plugins/builder/platform-observability/skills/platform-tracing-agentforce-configure .claude/skills/platform-tracing-agentforce-configure

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Platform Tracing Agentforce Configure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Platform Tracing Agentforce Configure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Platform Tracing Agentforce Configure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Platform Tracing — Agentforce Configure

Generate AgentforcePlatformTracingSettings metadata to enable or disable forwarding of Agentforce agent execution trace spans to Data Cloud's ingestion pipeline. This is a singleton Settings type with one boolean field introduced in API v68.0 (Spring '25).

Scope

In scope: Generating AgentforcePlatformTracing.settings-meta.xml to enable or disable Agentforce agent tracing.
Out of scope: Platform Tracing for TraceSpanEvent (use platform-tracing-configure). Event Log Files. Change Data Capture. Org permission provisioning. Data Cloud provisioning.

Prerequisites

Before generating, inform the user of these requirements. The skill cannot check org state, but deploying without these prerequisites means the setting has no effect:

Data Cloud must be provisioned in the org — trace spans are forwarded to Data Cloud's ingestion pipeline. Without Data Cloud, there is no destination for the spans.
PlatformObservability org permission must be active — this permission gates the feature. It is provisioned (not settable via metadata).
API version 68.0+ — the AgentforcePlatformTracingSettings type was introduced in Spring '25. Orgs on older API versions will not recognize it.

If the user reports the setting isn't working after deploy, the most likely cause is a missing prerequisite above.

Clarifying Questions

Before generating, confirm with the user if not already clear:

Enable or disable? (Which state do you want for Agentforce agent tracing?)

No other clarification needed — this is a singleton type with one boolean field.

Required Inputs

Gather or infer before proceeding:

Desired state: true (enable) or false (disable)

Defaults unless specified:

If user says "enable" or "turn on": set to true
If user says "disable" or "turn off": set to false

If the user provides a clear request, generate immediately without unnecessary back-and-forth.

Workflow

Warn about prerequisites — inform the user that this feature requires Data Cloud and the PlatformObservability org permission.
Read the template — load assets/AgentforcePlatformTracing-template.xml.
Generate the settings file — replace {ENABLED} with true or false based on the user's desired state.
Place the file — output to settings/AgentforcePlatformTracing.settings-meta.xml in the project's source directory.

Rules / Constraints

Constraint	Rationale
Singleton — only one file per org, one boolean field	The metadata type has exactly one instance. Deploying the file sets the org-wide preference.
XML namespace must be `http://soap.sforce.com/2006/04/metadata`	Any other namespace causes deploy failure.
File must be named `AgentforcePlatformTracing.settings-meta.xml`	SFDX source format convention for this Settings type.
Only include `enableAgentforcePlatformTracing` field	No other fields exist on this type.
Requires API v68.0+	Older orgs reject the metadata type entirely.

Gotchas

Issue	Resolution
Deploy succeeds but tracing doesn't activate	Org lacks `PlatformObservability` permission or Data Cloud is not provisioned. These are provisioned, not settable via metadata.
`AgentforcePlatformTracingSettings` type not recognized	Org or tooling is on API version < 68.0. Update `sfdx-project.json` sourceApiVersion.
User confuses this with Platform Tracing (TraceSpanEvent)	Clarify: this sends Agentforce agent execution spans to Data Cloud. For TraceSpanEvent publishing, use the `platform-tracing-configure` skill.

Output Expectations

Deliverables:

settings/AgentforcePlatformTracing.settings-meta.xml

Before delivering, verify:

XML namespace is exactly http://soap.sforce.com/2006/04/metadata
File is named AgentforcePlatformTracing.settings-meta.xml
Only enableAgentforcePlatformTracing is present (no extra fields)

Cross-Skill Integration

Need	Delegate to
Enable TraceSpanEvent publishing (Platform Tracing)	`platform-tracing-configure` skill
Query or analyze existing Agentforce agent trace data in Data Cloud	`agentforce-observe` skill
Set up Change Data Capture	`integration-eventing-cdc-configure` skill
Configure ManagedEventSubscription	`integration-eventing-subscription-configure` skill

Reference File Index

File	When to read
`assets/AgentforcePlatformTracing-template.xml`	Step 2 — template for generating the settings file

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

assets/AgentforcePlatformTracing-template.xml1 KB

Frequently asked questions

What does the Platform Tracing Agentforce Configure AI skill do?

Why use Platform Tracing Agentforce Configure on TypingMind?

Because you install it once and use it with any model. Platform Tracing Agentforce Configure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Platform Tracing Agentforce Configure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/platform-observability/skills/platform-tracing-agentforce-configure. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Platform Tracing Agentforce Configure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Platform Tracing Agentforce Configure?

As many as you like. As long as a model supports skills, you can use Platform Tracing Agentforce Configure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Platform Tracing Agentforce Configure AI skill free?

Yes. It is published on GitHub by forcedotcom under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Platform Tracing — Agentforce Configure

Scope

Prerequisites

Clarifying Questions

Required Inputs

Workflow

Rules / Constraints

Gotchas

Output Expectations

Cross-Skill Integration

Reference File Index

Bundled files

Frequently asked questions

Related AI Skills

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