Agent skill

Concurrency Report

by hoangsonww in hoangsonww/Claude-Code-Agent-Monitor

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…

MITAuto-check passedDevelopment

Install Concurrency Report

skills CLI
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill concurrency-report -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor concurrency-report --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ccam-workflows/skills/concurrency-report .claude/skills/concurrency-report && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
concurrency-report
GitHub stars
1.1k
Token cost
~631 tokens
SKILL.md length
285 words
Files
2
Skills in repo
78
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 4 steps: Parallelism Summary → Lane Timeline → Utilization → …
  • Checking whether a multi-agent session used parallelism efficiently
  • SKILL.md covers Input, Data Sources, Report Sections and Output
  • Calls npm

What it does

Concurrency Report is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. 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.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development. The repository describes itself as: 🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity… The licence is MIT.

When your agent uses it

  • Checking whether a multi-agent session used parallelism efficiently

Example prompts

  • “/concurrency-report”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Parallelism Summary
  2. Lane Timeline
  3. Utilization
  4. Serialization Bottlenecks

What it can do on your machine

Read from SKILL.md and the folder at commit a06db03. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Concurrency Report loads about 631 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 285 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~631

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hoangsonww/Claude-Code-Agent-Monitor at commit a06db03, republished under its MIT licence (© hoangsonww). 285 words, ~631 tokens.

Download SKILL.mdSave it as .claude/skills/concurrency-report/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
concurrency-report
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

EndpointReturns
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
LaneBusy timeIdle timeUtilization %
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.

© hoangsonww, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ccam-workflows/skills/concurrency-report of hoangsonww/Claude-Code-Agent-Monitor.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit a06db03

Compare with similar skills

Concurrency Report next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Concurrency Report compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Concurrency Report this skillhoangsonww/Claude-Code-Agent-Monitor1.1k—~631Automated safety check: PassMIT
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Warp Factory Fileswarpdotdev/warp65k1 repos~2.5kAutomated safety check: PassAGPL-3.0
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Analyze Logsactivepieces/activepieces25k1 repos~1.6kAutomated safety check: PassMIT
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0

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Questions about Concurrency Report

What does Concurrency Report do?

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…. Concurrency Report is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. 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.

When should I use Concurrency Report?

Concurrency Report fits situations like: checking whether a multi-agent session used parallelism efficiently.

How do I install Concurrency Report in Claude Code?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill concurrency-report -a claude-code`. Or copy the skill folder (plugins/ccam-workflows/skills/concurrency-report in hoangsonww/Claude-Code-Agent-Monitor) into .claude/skills/concurrency-report in your project. Claude Code loads it when a task matches its description.

How do I install Concurrency Report in Codex?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill concurrency-report -a codex`. Or copy the skill folder (plugins/ccam-workflows/skills/concurrency-report in hoangsonww/Claude-Code-Agent-Monitor) into .agents/skills/concurrency-report in your project. Codex loads it when a task matches its description.

Can I use Concurrency Report in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill concurrency-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/concurrency-report, .gemini/skills/concurrency-report, .github/skills/concurrency-report and .opencode/skills/concurrency-report in your project.

What does Concurrency Report need to run?

Going by SKILL.md and its folder, Concurrency Report needs the command-line tools its instructions call (npm).

Does Concurrency Report access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Concurrency Report safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Concurrency Report use?

Concurrency Report is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Concurrency Report use?

About 631 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Concurrency Report?

Skills that share tags, products or a category with Concurrency Report: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Warp Factory Files (warpdotdev/warp, 65k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars) and Analyze Logs (activepieces/activepieces, 25k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Concurrency Report?

hoangsonww (a GitHub user) maintains it in hoangsonww/Claude-Code-Agent-Monitor, which has 1,058 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 10, 2026.

Source: hoangsonww/Claude-Code-Agent-Monitor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.