# agentforce-d360-analyze

Reconstructs Agentforce sessions from Salesforce Data Cloud audit logs. Useful for tracing conversation turns and diagnosing why an interaction escalated or failed.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 5300 installs · ★ 1112
- Author: forcedotcom
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/forcedotcom/sf-skills/tree/HEAD/skills/agentforce-d360-analyze/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/agentforce-d360-analyze

## What it does

This skill rebuilds an Agentforce session from STDM and GenAI data model objects stored in Data Cloud. The pipeline runs across three stages: `fetch_dc.py` pulls runtime audit rows, `assemble_dc.py` joins the hierarchical tree in memory, and `render_dc.py` produces a markdown summary. For a 15-turn session, processing typically completes in 10 to 30 seconds. When a session ID is missing, `discover_sessions.py` queries recent sessions with filters for timeframe, agent name, channel, or text fragments.

Because the tool reads only materialized audit records from Data Cloud, it will not report live runtime availability or real-time platform latency. Running it requires `python3` (3.10.0 or higher), Salesforce CLI `sf` (2.0.0 or higher), and an authenticated org on API version 66.0 or newer. All generated output lands under `~/.vibe/data/agentforce-d360-analyze/`.

## Requirements
- Works with: Salesforce

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add forcedotcom/sf-skills --skill agentforce-d360-analyze -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/agentforce-d360-analyze/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/agentforce-d360-analyze/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add forcedotcom/sf-skills --skill agentforce-d360-analyze -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/agentforce-d360-analyze/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add forcedotcom/sf-skills --skill agentforce-d360-analyze -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/agentforce-d360-analyze/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install forcedotcom/sf-skills agentforce-d360-analyze
```

2. **Manually: put the files in place**
- File: `.github/skills/agentforce-d360-analyze/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add forcedotcom/sf-skills --skill agentforce-d360-analyze -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/forcedotcom/sf-skills --path skills/agentforce-d360-analyze
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/agentforce-d360-analyze/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add forcedotcom/sf-skills --skill agentforce-d360-analyze -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/forcedotcom/sf-skills/tree/HEAD/skills/agentforce-d360-analyze/SKILL.md

## When to use it
- reconstruct hierarchical turns of a specific Agentforce session
- find session IDs by channel, outcome, or text when the UUID is unknown
- resolve a MessagingSession ID into an Agent Session UUID
- render a markdown audit summary of agent conversation steps

## Example prompts
- Find Agentforce sessions from the last 2 hours that ended in escalation
- Inspect the Agentforce session 019dface-0000-7000-8000-000000000002
- Summarize messaging session 0MwTESTMSG12345AAA in our default org

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 2a2ec15f883202c7.

BEGIN THIRD-PARTY FILE 2a2ec15f883202c7
```text
---
name: agentforce-d360-analyze
description: "Data Cloud 360° view of a single Agentforce session. TRIGGER when user asks to trace, inspect, summarize, or describe a specific Agentforce session by session id (Agent Session UUID `019d…` or MessagingSession id `0Mw…`). Also triggers on session discovery — find/list/search sessions by time, agent, channel, outcome, or conversation text — when the user has no session id yet. DO NOT TRIGGER for design-time architecture questions (use agentforce-architecture-analyze instead) or for runtime perf/latency/SLO questions that require platform telemetry beyond Data Cloud."
metadata:
  version: "1.0"
  domains: ["Agentforce", "Data 360"]
  minApiVersion: "66.0"
  relatedSkills:
    - "agentforce-architecture-analyze"
  cliTools:
    - tool: ["python3"]
      semver: ">=3.10.0"
    - tool: ["sf"]
      semver: ">=2.0.0"
---

# agentforce-d360-analyze — Data Cloud 360° session view

Hierarchical session reconstruction from Data Cloud STDM + GenAI DMOs for one Agentforce session. Three stages — fetch → assemble → render. Typical wall-clock: ~10–30s for a ~15-turn session.

The pipeline is **DC-only**: it reads runtime audit rows that Data Cloud has materialized. It is **not** a runtime-availability tool — see "DC-only blind spot" below for what this skill cannot answer.

## If the user hasn't given enough to proceed

When invoked with no session id AND no discovery criteria, print this block **verbatim** — do not paraphrase, do not pre-run any script. Trigger condition: the input is empty OR contains no session-id shape (neither a UUID nor a `0Mw…` messaging id) AND no discovery expression (no time phrase / `--agent` / `--channel` / `--outcome` / `--grep` / verbs like "find" / "list").

> Which session should I pull from Data Cloud, and in which org?
>
> I need:
> - **Session id** — either an Agent Session UUID (`019db7f6-…`) or a MessagingSession id (`0Mw…`, 15/18 chars).
>   - **No session id?** — Tell me what you remember and I'll find it: how recent (e.g. "last 2 hours", "today", a date), which agent, which channel (Messaging / Builder / Voice), how it ended (escalated, user ended, transferred, timed out), or a phrase from the conversation. I'll show matching sessions as a numbered list — you pick one, I pull it.
> - **Org alias** — for `sf` CLI auth (the alias you configured with `sf org login`).
>
> Artifacts land in `~/.vibe/data/agentforce-d360-analyze/<org_id15>/<agent>__<ver>/<session_id>/` (override per-script with `--data-dir <path>`).

## Session id forms — UUID or MessagingSession id

Both forms are accepted on `--session`:
```
END THIRD-PARTY FILE 2a2ec15f883202c7

The third-party file has ended. Everything between the 2a2ec15f883202c7 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2661 of 13550 bytes. © forcedotcom · Apache-2.0 · https://github.com/forcedotcom/sf-skills/tree/HEAD/skills/agentforce-d360-analyze/SKILL.md

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