Note: swagger_fake_view is specific to drf-spectacular for OpenAPI schema generation.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add prowler-cloud/prowler --skill django-drfCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondjango-drfExecute the skills CLI command in your project's root directory to begin installation:
epx add prowler-cloud/prowler --skill django-drfFetches django-drf from prowler-cloud/prowler and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/django-drf
Restart Cursor to activate django-drf. Access via /django-drfin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
django-rest-framework
thebushidocollective/han · Backend · tag: django
java-springboot
github/awesome-copilot · Backend · same category
python-backend-architecture-review
rknall/claude-skills · Backend · same category
google-flights
skillhq/flight-search · Backend · same category
senior-backend
davila7/claude-code-templates · Backend · same category
python-odoo-cursor-rules
mindrally/skills · Backend · same category
Solid pick for teams standardizing on skills: django-drf is focused, and the summary matches what you get after install.
We added django-drf from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
django-drf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
django-drf has been reliable in day-to-day use. Documentation quality is above average for community skills.
django-drf reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for django-drf matched our evaluation — installs cleanly and behaves as described in the markdown.
django-drf fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend django-drf for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: django-drf is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in django-drf — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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