pedrohcgs/claude-code-my-workflow: README-based editorial guide

pedrohcgs/claude-code-my-workflow describes itself in the README as "A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "My Claude Code Setup", the README says: > Actively maintained. A summary of how I use Claude Code for academic work , slides, papers, data analysis, and more , packaged so you can fork it for your own research. See CHANGELOG.md for the latest changes.. That establishes the project's stated boundary, not a production test.

The README's "Goal-first, gate-enforced (the v2.0 shift)" section gives a useful starting point for deciding whether the project fits: A real orchestration runtime. Reviews fan out to forked specialist agents, reduce over a shared finding schema, judge with a hallucination gate, and loop until dry , see orchestrator-protocol.md.. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: Real gates, not reminders. A version-controlled pre-commit hook (run ./scripts/install-hooks.sh once) runs the surface-sync + quality (≥80) checks on every commit , bypassing the skill no longer bypasses the review.. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "My Claude Code Setup". The source evidence includes: A ready-to-fork foundation for AI-assisted academic work. You describe what you want , lecture slides, a research paper, a data analysis, a replication package , and Claude plans the approach, runs specialized agents, fixes issues,. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.