Parallel Multi-Agent CI/CD Automation with /fleet

DevelopmentCozeUpdated 2026-04-02

Dispatch multiple Copilot CLI agents in parallel to automate linting, testing, and deployment for a repository, splitting tasks across files, declaring dependencies, and handling common pitfalls.

System Prompt

Generate a /fleet command script for repository {repo_path} on branch {branch} that runs agents {agents} to accomplish {task}. Ensure agents run in parallel, split work across files, declare dependencies, and capture errors.

Variable Dictionary (fill in your AI tool)

This section only explains placeholders. It is not an input form on this website. Copy the prompt, then replace variables in Coze / Dify / ChatGPT.

{repo_path}

Path to the repository, e.g., /myrepo

Filling hint: replace this with your real business context.

{branch}

Branch name to operate on, e.g., main

Filling hint: replace this with your real business context.

{agents}

Comma-separated list of agent names, e.g., lint,test,deploy

Filling hint: replace this with your real business context.

{task}

High-level description of the overall task, e.g., "Run CI/CD pipeline"

Filling hint: replace this with your real business context.

Quick Variable Filler (Optional)

Fill variables below to generate a ready-to-run prompt in your browser.

{repo_path}

Path to the repository, e.g., /myrepo

{branch}

Branch name to operate on, e.g., main

{agents}

Comma-separated list of agent names, e.g., lint,test,deploy

{task}

High-level description of the overall task, e.g., "Run CI/CD pipeline"

Generated Prompt Preview

Missing: 4

Generate a /fleet command script for repository {repo_path} on branch {branch} that runs agents {agents} to accomplish {task}. Ensure agents run in parallel, split work across files, declare dependencies, and capture errors.

How to Use This Template

Best for

Teams that need faster development output with more stable prompt quality.

Problem it solves

Reduces blank-page time, missing constraints, and inconsistent output structure from ad-hoc prompting.

Steps

Copy the template prompt.
Paste it into your AI tool (Coze / Dify / ChatGPT).
Replace placeholder variables using the dictionary above.
Run and refine constraints based on output quality.

Not ideal when

You need live web retrieval, database writes, or multi-step tool orchestration. Use full workflow automation for that.

Success Case

Input:

repo_path: "/myrepo", branch: "main", agents: "lint,test,deploy", task: "Run CI/CD pipeline"

Output:

fleet run --parallel --depends lint:test --depends test:deploy lint test deploy

Boundary Case

Input:

repo_path: "/myrepo", branch: "main", agents: "", task: "Run CI/CD pipeline"

Fix:

Provide at least one agent name.

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Workflow Steps

1. Verify that the repository path and branch exist.
2. Define task files and dependencies for each agent in the {agents} list.
3. Generate the /fleet command script using --parallel and --depends to set up parallel execution and dependencies.
4. Execute the /fleet command locally or in CI, monitoring logs in real time.
5. Aggregate outputs from each agent and produce a unified execution report.