How does Opus Manager help me save on Claude's usage quotas?

Opus Manager acts as an orchestrator that uses Claude's high-level reasoning to plan and verify tasks while delegating the actual coding to cheaper, pay-per-use CLI agents, preventing you from hitting Claude's message limits on routine typing.

Which AI command-line tools can Claude manage with this skill?

The skill is compatible with most popular command-line AI tools you already have installed, including Aider, Cursor-agent, OpenCode, Gemini/agy, and Pi.

Can I leave the agent to work on multiple tickets while I am away from my desk?

Yes, it is designed for unattended operation; it collects your input upfront, works through the ticket queue, and provides a plain Markdown report of its progress and decisions for your review later.

How does the skill ensure that the code written by cheaper models is actually correct?

To ensure code quality, Opus Manager has a second AI model from a different vendor perform a read-only review, followed by Claude personally rerunning all acceptance checks to verify the findings.

Is the setup process complicated for someone with multiple AI agents?

On the first run, the skill automatically detects your local CLIs and guides you through a one-time configuration to assign specific tools for building and reviewing tasks.

What exactly is included with this skill purchase?

This is an open-source tool provided under the MIT license, meaning you receive full access to the source code and documentation via the provided GitHub repository.

Opus Manager: Claude manages, cheaper AI CLIs code

Example session with this skill installed

Use tickets: add a "remember me" checkbox to the login page. pi + DeepSeek builds, GLM reviews. I'm heading out, keep going without me.

Read your context and instructions
Compiled the opus manager
Generated the document

Illustrative example of the end-of-run report. Numbers vary by project.

I wrote the ticket, dispatched it, accepted it and had it reviewed while you were away. Here is where things stand.

What works now

T12 Remember-me checkbox on the login page: done. Checked: the session cookie lasts 30 days. Unchecked: it ends with the browser session.

How it got there

Step	Who	Result
Ticket T12	Claude	Goal, files allowed to change (`src/auth/login.tsx`, `src/auth/session.ts`, `tests/auth/`), 2 acceptance commands
Build	pi / DeepSeek	Receipt with raw output: `npm test -- auth` 14 passed, `npm run typecheck` clean
Acceptance	Claude	Reran both commands myself: same result. Diff touches only the allowed files
Review	pi / GLM (read-only)	2 findings
Verification	Claude	1 real: the long-lived cookie was not cleared on logout. Sent back as T12-fix, rebuilt, re-accepted. 1 rejected: "missing CSRF check" - the login form already goes through the shared CSRF middleware

Waiting for you

Nothing. No decisions needed for this ticket.

Worker cost

DeepSeek: 41 calls, about $0.12. GLM review: 6 calls, about $0.01.
I cannot see my own Claude usage, so it is not reported here.

Files in your repo

_tickets/done/T12.md, _receipts/T12.receipt.md, _receipts/T12.review.md, _receipts/report-2026-10-03.md

Say "continue" and I will pick up the next ticket in _tickets/open/.

opus-manager-claude-manages-cheaper-ai-c.pdf

PDF · document

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

About this skill

Opus Manager turns Claude Code into the manager of your project instead of its typist. Claude splits the work into tickets, dispatches them to cheaper AI command-line tools already on your machine (pi, cursor-agent, codex, gemini/agy, opencode, aider and others), reruns every acceptance check itself, has a model from a different vendor review the code read-only, and verifies each finding before anything gets fixed. Why: Claude's quota goes to judgment (planning, acceptance, telling real bugs from false alarms) while the implementation runs on cheaper pay-per-use models. Claude's context stays free of code, so it keeps the whole project in view. It can run unattended: it asks its questions before you leave, then works down the queue. Decisions that are yours go into a list, and you get a plain report when you are back. Field numbers from real use (small sample): a colleague's full working day used 20% of the weekly Claude Pro quota plus about $5-6 on worker models. Over 8 weeks the author dispatched 360 tickets across 13 repositories; 340 were accepted. Everything is plain Markdown in your repo: tickets, receipts, review reports and Claude's verdicts. On first run Claude detects your CLIs and asks you, one question at a time, who builds and who reviews. It never makes privacy, cost or permission decisions for you. Free and MIT-licensed. Source, docs and issues: https://github.com/yanauto/opus-manager

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.

Skills folder by agent

Click the path to copy it. Create the folder if it does not exist yet.

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Opus Manager: Claude manages, cheaper AI CLIs code