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/dag-map

Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API. Cross-checks the orchestration dataset against the raw agent records and session detail. Use when visualizing how a

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claude-code-agent-monitor
1.1k75 skills21 agents33 commands1 MCP

Claude Code

$ npx -y skills add hoangsonww/Claude-Code-Agent-Monitor --skill dag-map --agent claude-code

SKILL.md

dag-map.SKILL.md
name: dag-map
description: >
  Render the multi-agent orchestration DAG for a session — parent→child
  subagent edges, tree depth, and fan-out — from the Agent Monitor workflow
  intelligence API. Cross-checks the orchestration dataset against the raw
  agent records and session detail. Use when visualizing how a session's agent
  structure was organized.

DAG Map

Render the subagent orchestration graph for one Claude Code session as a depth-ordered DAG.

Input

The user provides: **$ARGUMENTS**

A session ID. If empty, fetch `GET /api/sessions?limit=1` and use the most recent session, stating which one you picked.

Data Sources

| Endpoint | Returns | |----------|---------| | `GET /api/workflows/{sessionId}` | The `orchestration` dataset: DAG nodes (agent id, type, model, status, depth) and parent→child edges | | `GET /api/agents` | Raw subagent records (`status`, `type`, `depth`, `parent`) to cross-check node/edge counts | | `GET /api/sessions/{sessionId}` | Full session detail with nested `agents[]` to confirm the root and total agent count |

Report Sections

1. Topology Summary

From `orchestration`: the root agent, total agent count, max depth, and max fan-out (most children under any one parent). Confirm the agent count against `/api/agents` filtered to this session.

2. Edge List

Every parent→child edge, grouped by depth, formatted as: `depth d: parent[model] → child[type, status]` Mark leaf agents (no children) and any orphan nodes (a `parent` that is not present in the node set).

3. Depth & Fan-out Table

| Depth | Agents at depth | Children spawned | Avg fan-out | |-------|-----------------|------------------|-------------|

4. ASCII Tree

A simple indented tree rendering of the DAG, e.g.:

root [opus, completed]
├─ explore [sonnet, completed]
└─ code-review [sonnet, error]
   └─ debugger [sonnet, completed]

Output

  • Render as Markdown tables plus one fenced ASCII tree block.
  • Cite real node and edge counts from the API — never invent agents or edges.
  • If a session has no subagents, say so plainly (single-agent session, depth 0) instead of fabricating a tree.
  • If the dashboard is unreachable, tell the user to start it with `npm start` from the repo root.
Read more
@hoangsonww
Ships withclaude-code-agent-monitor

🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity, tool usage, and subagent orchestration, providing live analytics, a Kanban status board, status notifications, a cute buddy, & an interactive web UI/MacOS/Windows native app.

1.1k75 skills21 agents1 MCP
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Questions about dag-map.

Which coding agents can use dag-map?
dag-map installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.