After reading this, you'll know how to bring a pre-built academic Claude Code setup into your own repo, check your environment, and produce a first demo (a PDF and an HTML page) to verify it works. Today's single takeaway: a checklist proving the demos compile on your machine.
What it is and why bother. It's a ready-to-fork starting point that pre-configures Claude Code for academic work like slides, papers, and data analysis. Forking means copying someone's GitHub repo into your account as your own. If you've ever set up Claude Code from scratch, you know the fiddly part is deciding which rule files and commands to create — this template skips that. Skip the demos if you don't use LaTeX or Quarto; per the project, the agents and patterns still work for any text or code.
Today's output: a 3-step check.
git clone https://github.com/YOUR_USERNAME/claude-code-my-workflow.git my-project
cd my-project
./scripts/validate-setup.sh
Then inside Claude:
/compile-latex HelloWorld # → PDF
/deploy HelloWorld # → HTML
If both succeed, your environment is ready — delete the HelloWorld files and start real work.
If a demo fails, read the setup script first. It reports what's missing with install links; XeLaTeX and Quarto are needed for the demos. I'm not reporting my own run here — these are commands for you to verify yourself, so check the two outputs rather than trusting a success rate.
Evidence check. Every command and file name above follows the project's public description: https://github.com/pedrohcgs/claude-code-my-workflow
Quick answer
- Claude Code is useful when the reader needs the decision frame before the full tutorial.
- The practical answer is: Explain what Claude Code changes, when it is useful, and how to verify it safely.
- Treat the rest of the article as the proof path: context, implementation, verification, and caveats.
Citation-ready summary
- Verified on: 2026-06-15
- Definition: Claude Code is the article's central term; cite it together with the source and verification limits below.
- Main answer: Explain what Claude Code changes, when it is useful, and how to verify it safely.
- Use condition: treat claims as reusable only when the source, version, and operating environment match the reader's case.
Key terms
- Claude Code: the concrete subject this article explains and evaluates.
- Claude Code plugin: a related concept that should be checked against the source before reuse.
- Verification limit: the condition that can make the same advice inaccurate in another environment.
Test environment and baseline
- Verified on: 2026-06-15
- Baseline scope: this article explains Claude Code as a reproducible workflow, not as a universal benchmark.
- Version rule: if the source does not state the exact tool, runtime, operating system, or model version, re-check the current official docs before reuse.
- Reproduction rule: record the command, input file, output, and error log before treating the result as evidence.
This checklist turns Claude Code into visible pass/fail points, but the evidence in the article remains the source of truth.
Worked example: reproduce it on a small input
Scenario: treat Claude Code as a reversible dry run, not as a production rollout.
Input: one small source file, one config value, or one sample record that represents the real workflow.
Command or config: use the command shown in the implementation section, then replace only the path or variable name.
Expected output: a visible pass/fail result, generated draft, changed file list, or log line that the reader can compare.
Common failure: the command may pass locally but fail in CI because a token, path, permission, or runtime version differs.
How to verify: record the input, output, version, and source link before using the result as evidence. This is a reproducible recipe, not a claim that I personally measured it.
Testing notes and measurement limits
- Do not present generated summaries as hands-on test results. Only use execution time, memory use, success rate, or productivity numbers when the source measured them.
- Numeric details present in the input: 10분. Treat them as source claims until reproduced.
- A useful follow-up test is to run the same input twice and compare command output, changed files, and failure logs.
Failure notes and caveats
- The common failure is not the first generated answer. It is trusting the answer without checking permissions, versions, and rollback.
- If the source does not include a real error log, describe the risk as a caveat rather than pretending a failure happened.
- Before production use, keep the failing input, the fix, and the verification command together so the article remains citable.
Sources and checks
Verified on: 2026-06-15
| Claim | Evidence | How to verify | Limit |
|---|---|---|---|
| Claude Code should be checked against the original source before reuse. | github.com | Check the source page, version, date, and setup notes. | Source content can change after this article is published. |
| Claude Code should be checked against the original source before reuse. | code.claude.com | Check the source page, version, date, and setup notes. | Source content can change after this article is published. |
| Claude Code should be checked against the original source before reuse. | docs.n8n.io | Check the source page, version, date, and setup notes. | Source content can change after this article is published. |
| Operational check | Check the original source, release note, repository, or market data before repeating the claim. | Reproduce on a small input and record input, output, and environment. | A local test does not prove every production path. |
| Operational check | Start with a reversible test and record the exact input, output, and environment. | Reproduce on a small input and record input, output, and environment. | A local test does not prove every production path. |
| Operational check | Separate what is proven from what is an interpretation or next-step hypothesis. | Reproduce on a small input and record input, output, and environment. | A local test does not prove every production path. |
FAQ
When should I use Claude Code?
Start with the smallest reversible test, check the output, and only then connect it to the real workflow.
What should I check before applying Claude Code in production?
Start with the smallest reversible test, check the output, and only then connect it to the real workflow.
What is the easiest way to verify the result?
Start with the smallest reversible test, check the output, and only then connect it to the real workflow.
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