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khadinakbarlabskhadinakbarlabs/shopify-app-builder/skills/dev-troubleshooting/SKILL.md

dev-troubleshooting

Skill2 starsChanged 38 days agoMITView on GitHub

Diagnose Shopify CLI, API, auth, webhook, UI, extension, and deployment failures.

  • Reads credentials

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask only for missing information that changes this task.

    line 13
  2. Distinctive:

    Ask only for the error, where it happens and last known working state.

    line 17
  3. Distinctive:

    If fixing is requested, write a regression test, make the smallest change and preserve unrelated edits.

    line 19
  4. Very specific:

    Never read auth caches, print .env/session tables, uninstall everything, or run guessed CLI subcommands.

    line 29

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Fix one problem without making a mess

Start here

A reproduction is a reliable way to make the same failure happen again.

First useful outcome: Capture one redacted error and reproduce it safely. Ask only for missing information that changes this task. Inspect the existing project and use synthetic data before touching a merchant store. Explain the next action and its expected result in plain language; offer a recommended default with its tradeoff.

Guided workflow

  1. Ask only for the error, where it happens and last known working state; inspect non-secret versions and config.
  2. Choose the focused skill for the failing layer and test a specific hypothesis with read-only checks.
  3. If fixing is requested, write a regression test, make the smallest change and preserve unrelated edits.
  4. Reproduce again and report evidence; use recoverable cache backups only after proving cache involvement.

Check it worked

State confirmed cause, exact change, regression result and anything not tested live. Report what was changed, what was tested, and what still needs account access or live verification. Do not claim production readiness or approval from generated code alone.

If you get stuck

Never read auth caches, print .env/session tables, uninstall everything, or run guessed CLI subcommands. Give one safe next step and a redacted error example, not a list of speculative fixes.

Safety and optional depth

Use only the user's selected project/accounts. Never read credential caches or request secrets in chat; the operator configures the application's approved secret store. Ask before live deployment, store mutations, billing, publication or paid runs unless that exact action is already authorized. No MCP service is required by this plugin.

For concrete examples in an existing project, read only the relevant section of technical-guide.md. These retained v1.x examples are version-sensitive, not the default template. Verify SDKs, schema fields, CLI flags and platform rules with official documentation before using them.

Example request: "Use dev-troubleshooting to help me with this task. Explain each change and verify it before moving on."

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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