Fleet Runs

CommunityPopular

hoangsonww

fleet-runs

Summarize Workflow-tool fleet runs from the Agent Monitor — these fleets emit no hooks and are ingested from on-disk run journals. List recent runs with status and agents-per-run, then drill into a single run's per-agent detail. Reconciles against the live run-state endpoints. Use when reviewing Workflow() fleets rather than hook-instrumented interactive sessions.

Overview

Publisher	hoangsonww
Repository	`Claude-Code-Agent-Monitor`
Skill name	`fleet-runs`
Stars	1.1K
Forks	260
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by hoangsonww on GitHub. Read the source before you install it.

Installation

Install the Fleet Runs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-workflows/skills/fleet-runs
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-workflows/skills/fleet-runs

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git /tmp/Claude-Code-Agent-Monitor
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Agent-Monitor/plugins/ccam-workflows/skills/fleet-runs .claude/skills/fleet-runs

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fleet Runs in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fleet Runs on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fleet Runs is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Fleet Runs

Summarize Workflow-tool (Workflow()) fleet runs and drill into one run's agents.

Input

The user provides: $ARGUMENTS

Empty → list the most recent fleet runs.
A run ID → drill into that single run.
latest → drill into the most recent run.

These fleets emit no hooks; the dashboard ingests them from on-disk Workflow-tool run journals, so this data is independent of the hook event stream.

Data Sources

Endpoint	Returns
`GET /api/workflows/runs`	List of ingested fleet run journals: run id, status, agent count, timing
`GET /api/workflows/runs/{runId}`	One run in detail: per-agent status, timing, type, and outputs
`GET /api/run`	Live run state across the fleet (current/active runs)
`GET /api/run/{id}`	Live state for one run, to reconcile against the journal

Report Sections

1. Runs Overview (when listing)

Run ID	Status	Agents	Started	Duration
Sort most recent first. Add a one-line status mix below (e.g. `8 runs: 5 completed, 2 running, 1 error`).

2. Run Detail (when a run ID / `latest` is given)

From GET /api/workflows/runs/{runId}, reconciled with GET /api/run/{id}:

Header: run id, status, total agents, wall-clock duration.
Per-agent table:
Agent Type Status Duration Notes
Call out the longest-running agent and any agent with an error/failed status.

3. Status & Health

Completion rate (completed / total agents), any stalled or errored agents, and whether the journal and the live run-state endpoint agree (flag drift if they do not).

Output

Markdown tables; status mix as a single summary line.
Durations in human units (e.g. 3m 04s).
Make explicit that these runs come from run journals (no hooks), so hook-derived metrics do not apply.
Cite only runs and agents returned by the API; never invent runs.
If there are no fleet runs, say so plainly.
If the dashboard is unreachable, tell the user to start it with npm start from the repo root.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB

Frequently asked questions

What does the Fleet Runs AI skill do?

Why use Fleet Runs on TypingMind?

Because you install it once and use it with any model. Fleet Runs is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fleet Runs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-workflows/skills/fleet-runs. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fleet Runs?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fleet Runs?

As many as you like. As long as a model supports skills, you can use Fleet Runs with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fleet Runs AI skill free?

Yes. It is published on GitHub by hoangsonww under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Fleet Runs

Input

Data Sources

Report Sections

1. Runs Overview (when listing)

2. Run Detail (when a run ID / latest is given)

3. Status & Health

Output

Bundled files

Frequently asked questions

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2. Run Detail (when a run ID / `latest` is given)