cdrf-expert
Expert guidance for Django REST Framework class-based views using Classy DRF (https://www.cdrf.co). Use when selecting or debugging APIView, GenericAPIView, concrete generic views, mixin combinations, or ViewSet/GenericViewSet/ModelViewSet behavior; tracing method resolution order (MRO); understanding which method to override (create vs performcreate, update vs performupdate, destroy vs performdestroy, getqueryset, getserializerclass); and comparing behavior across DRF versions. Do not use for function-based views, GraphQL, FastAPI/Flask, frontend work, or non-DRF backend frameworks.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/vintasoftware/django-ai-plugins --skill cdrf-expert- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads cdrf-expert automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
CDRF Expert
Instructions
- Classify the request.
Map the user request to one or more categories:
- Class selection (APIView vs GenericAPIView vs concrete generics vs ViewSets)
- Lifecycle tracing (request-to-response flow)
- Override strategy (which hook to customize)
- MRO debugging (method came from mixin/base class)
- Version differences (behavior changed between DRF versions)
- Read only the required reference file(s).
Load the minimum needed context:
references/class-selection-matrix.mdfor class selectionreferences/lifecycle-and-overrides.mdfor hook placement and lifecyclereferences/mro-debugging-playbook.mdfor MRO/source-of-method tracingreferences/version-check-workflow.mdfor DRF-version comparisons
- Navigate cdrf.co with version-first discipline.
- Identify the project DRF version from user context.
- If unknown, ask for version or provide a version-agnostic answer and explicitly mark assumptions.
- Open the matching CDRF version namespace first (for example
https://www.cdrf.co/3.16/). - Open the target class page and extract:
- Ancestors and MRO
- Available methods and source class for each method
- Default attributes that affect behavior (
queryset,serializer_class, pagination/filter backends)
- Choose the minimal override point.
- Prefer narrow hooks (
perform_create,perform_update,perform_destroy) before broad methods (create,update,destroy). - Prefer
get_querysetandget_serializer_classfor per-request behavior over hardcoding class attributes. - Keep HTTP orchestration in view methods and business/domain logic outside views.
- Preserve DRF defaults unless the request needs behavior changes.
- Produce an answer grounded in method flow.
Return:
- Recommended class
- Method(s) to override
- Why these methods are correct in the MRO/lifecycle
- Concise code patch or skeleton
- Risks/regressions and tests to add
- Validate before finalizing.
Check for common regressions:
- Accidentally bypassing permission/authentication/filter/pagination hooks
- Duplicating object-save logic between serializer and view
- Overriding broad methods when narrow hooks are sufficient
- Depending on methods not present in the selected DRF version
Error Handling
- If cdrf.co is unavailable, state that limitation and fall back to DRF official docs and installed source code.
- If the user cannot provide DRF version, provide a version-agnostic path and clearly mark assumptions.
- If multiple override points appear valid, recommend the narrowest hook first and explain tradeoffs.
Output Rules
- Cite exact class and method names from CDRF.
- State assumptions when DRF version is unknown.
- Keep responses focused on DRF CBV internals and actionable code changes.
FAQ
What does the cdrf-expert skill do?
Expert guidance for Django REST Framework class-based views using Classy DRF (https://www.cdrf.co). Use when selecting or debugging APIView, GenericAPIView, concrete generic views, mixin combinations, or ViewSet/GenericViewSet/ModelViewSet behavior; tracing method resolution order (MRO); understanding which method to override (create vs performcreate, update vs performupdate, destroy vs performdestroy, getqueryset, getserializerclass); and comparing behavior across DRF versions. Do not use for function-based views, GraphQL, FastAPI/Flask, frontend work, or non-DRF backend frameworks.
How do I install cdrf-expert?
Run npx skills add https://github.com/vintasoftware/django-ai-plugins --skill cdrf-expert in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/cdrf-expert/ (personal) or .claude/skills/cdrf-expert/ (project).
Which AI agents can use cdrf-expert?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is cdrf-expert safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains cdrf-expert?
It is published by vintasoftware in vintasoftware/django-ai-plugins. It has 518 recorded installs.
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