Files
AgentHub/plugins/agenthub-workflows/skills/dag-map/SKILL.md
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nntrivi2001 17d56d0e01 refactor!: rebrand CCAM to AgentHub
Clean break, no compatibility alias. Renames the product name, the CLI
binary (`ccam` -> `agenthub`), the env var prefix (`CCAM_` ->
`AGENTHUB_`), the Prometheus metric namespace (`ccam_*` ->
`agenthub_*`), the tmux session prefix (`ccam-lane-<id>` ->
`agenthub-lane-<id>`), the per-repo runtime profile directory
(`.ccam/profile` -> `.agenthub/profile`), the lanes state root
(`~/.claude/ccam-lanes` -> `~/.claude/agenthub-lanes`), the bundled
plugins (`plugins/ccam*` -> `plugins/agenthub*`) and their slash
commands (`/ccam-doctor` -> `/agenthub-doctor`, `/ccam:*` ->
`/agenthub:*`).

Because there is no alias, an existing install has to be updated by
hand: rename its `.ccam/profile` directory and any `CCAM_*` variables,
and reinstall the plugin under its new name.

Two other name families are deliberately left alone here, since they are
not just strings: the `Claude-Code-Monitor` repository/marketplace name,
and the `agent-dashboard` npm package plus its `~/.claude/agent-dashboard`
runtime directory, which holds the live database and needs a migration
rather than a rename.

Verified: server 1406/1406, client 459/459, `grep -i ccam` clean across
tracked files, `openapi.yaml` regenerated (95 paths, unchanged count).
2026-09-07 12:09:15 +07:00

2.2 KiB

description
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.