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).
This commit is contained in:
2026-09-07 12:09:15 +07:00
parent ae9b3dbcd5
commit 17d56d0e01
345 changed files with 2705 additions and 2727 deletions
@@ -0,0 +1,53 @@
---
description: >
Report concurrency and parallelism for a session — how many agents ran in
parallel, concurrency-lane utilization, peak parallel width, and
serialization bottlenecks (sequential chains that could have run as parallel
lanes) — using the Agent Monitor workflow intelligence API. Use when checking
whether a multi-agent session used parallelism efficiently.
---
# Concurrency Report
Report on parallel execution for one Claude Code session: lanes, peak width, utilization, and where work serialized.
## Input
The user provides: **$ARGUMENTS**
A session ID. If empty, fetch `GET /api/sessions?limit=1` and report on the most recent session, stating which one.
## Data Sources
| Endpoint | Returns |
|----------|---------|
| `GET /api/workflows/{sessionId}` | The `concurrency` dataset (overlapping agent execution lanes with start/end timing) and the `complexity` dataset (numeric score from depth, breadth, and tool diversity) |
## Report Sections
### 1. Parallelism Summary
From `concurrency`: number of distinct lanes, peak parallel width (max agents running simultaneously), and total agents. Pair with the `complexity` score to judge whether the parallelism matched the work's size.
`Lanes: N · Peak parallel: M · Agents: K · Complexity: S`
### 2. Lane Timeline
A per-lane list of the agents that occupied each lane in order:
`Lane 1: explore (0–12s) → code-review (12–48s)`
`Lane 2: debugger (5–30s)`
Show overlapping windows so simultaneity is visible.
### 3. Utilization
| Lane | Busy time | Idle time | Utilization % |
|------|-----------|-----------|---------------|
Plus an overall utilization figure (busy lane-time / total lane-time).
### 4. Serialization Bottlenecks
Identify sequential chains where one agent waited on the previous despite no apparent dependency — candidates to run as parallel lanes. State the chain and the wall-clock time it cost. Only flag chains the `concurrency` timing data actually shows as sequential.
## Output
- Markdown tables for utilization; a fenced list for the lane timeline.
- Durations in human units (e.g. `48s`, `2m 10s`); percentages to whole numbers.
- Use ▲/▼ when comparing utilization against an even-distribution baseline.
- Cite only timing returned by the API; never invent lane overlaps or durations.
- If the session ran a single agent (no concurrency), say so plainly rather than inventing lanes.
- If the dashboard is unreachable, tell the user to start it with `npm start` from the repo root.