django-verification
by affaan-mdjango-verification is a release-readiness skill for Django backend projects. It guides environment checks, linting, formatting, type checks, migrations, tests with coverage, security scans, and deployment readiness so you can catch issues before PRs or releases.
This skill scores 68/100, which means it is listable but only moderately strong for directory users. It provides a real Django release-verification workflow that can help agents run checks with less guesswork than a generic prompt, but users should expect some missing operational polish and a few placeholders/test-like signals.
- Clear activation cues for common Django moments: PRs, major model changes, dependency upgrades, and pre-deploy checks.
- Concrete multi-phase workflow covers environment validation, linting/formatting, migrations, tests, and security/readiness checks.
- Substantive body content with code examples and Django-specific commands gives agents actionable steps rather than a vague checklist.
- Repository shows placeholder markers and experimental/test signals, which may reduce trust in edge-case completeness.
- No install command, support files, or references are provided, so users may need to adapt the workflow manually to their project.
Overview of django-verification skill
What django-verification does
The django-verification skill is a release-readiness workflow for Django projects. It helps you verify the basics that usually break PRs and deployments: environment setup, linting, formatting, type checks, migrations, tests with coverage, and security-oriented Django checks.
Who should use it
Use the django-verification skill if you work on a Django backend and want a repeatable pre-PR or pre-deploy checklist instead of a generic “run tests” prompt. It is especially useful for backend developers who need to catch migration issues, config mistakes, and code-quality regressions before review.
What makes it useful
Its main value is sequence and specificity. The skill is not just “check the project”; it pushes you through a practical verification loop so you can stop early on environment problems, then move through quality checks, migration safety, and deployment readiness. That reduces guesswork when a Django app has multiple moving parts.
How to Use django-verification skill
Install and activate it
For django-verification install, add the skill to your Claude Code setup with the repository’s skills path, then load it for the task at hand:
npx skills add affaan-m/everything-claude-code --skill django-verification
Use it when your goal is to verify a Django change set, not when you only want a one-off answer about a single error message.
Start with the right inputs
The django-verification usage works best when you provide:
- Django version and Python version
- The change type: model changes, dependency upgrade, settings change, API change, or deploy prep
- The commands your repo already uses, such as
pytest,manage.py test,ruff, ormypy - Any known constraints, like CI-only secrets, Docker, or a nonstandard settings module
A weak prompt says: “Check my Django app.”
A stronger prompt says: “Run django-verification for a Django 4.2 app after model and migration changes; prioritize migration safety, ruff, mypy, and deploy checks; call out anything that blocks release.”
Read these files first
For practical adoption, read SKILL.md first, then inspect README.md, AGENTS.md, metadata.json, and any supporting folders if they exist. In this repository, SKILL.md is the only surfaced file, so treat it as the source of truth and adapt the workflow to your project’s actual tooling.
Use it as a workflow, not a script
The best django-verification guide pattern is:
- Confirm environment and settings are correct.
- Run code-quality checks and fix obvious issues.
- Validate migrations before and after schema-related changes.
- Run tests with coverage.
- Finish with deployment-readiness checks.
That order matters because it avoids wasting time on test failures caused by a broken environment or bad migrations.
django-verification skill FAQ
Is django-verification only for backend development?
Yes, django-verification for Backend Development is the right framing. It is designed around Django app quality, safety, and deployability. It is not a frontend workflow, and it will not help much with design-system or browser-only concerns.
Do I need this if I already have a CI pipeline?
Yes, if you want a local or agent-driven preflight before CI. The django-verification skill complements CI by helping you catch issues earlier and by giving the agent a structured path through the checks. CI still matters, but the skill can reduce noisy back-and-forth before the pipeline runs.
When should I not use it?
Skip it for tiny changes that do not touch Django behavior, or when you only need a single targeted command. It is also a poor fit if your project does not use the common tooling it expects, such as migration-based schema management or standard lint/test commands.
Is it beginner-friendly?
Mostly yes. It is easier to use than inventing a custom review prompt because it provides an ordered checklist. The main beginner risk is giving vague input, which leads to generic verification instead of project-specific checks.
How to Improve django-verification skill
Give the skill better context
The quality of django-verification output depends on how clearly you describe the repo state. Include the changed files, recent failure logs, and the exact commands your project uses. If migrations are involved, say whether you added fields, renamed models, changed nullability, or modified constraints.
Ask for the right depth
If you only need a smoke test, say so. If you need a release gate, request stricter checks and explicit stop conditions. For example: “Treat any migration conflict, missing env var, failing test, or deploy warning as blocking.” That makes the result more decision-ready.
Watch for common failure modes
The most common miss is treating the skill like a generic Django checklist and not adapting it to the repository. Another failure mode is skipping environment verification and jumping straight to tests. For django-verification, that often hides the real cause of later failures.
Iterate with repo-specific evidence
After the first pass, feed back the exact failures and ask for a narrower rerun. For example: “Re-run django-verification focusing on migration safety and test coverage only; the lint step is already clean.” This makes the next pass faster and more useful than repeating the full loop.