Django Developer
CheckedThis skill generates Django code snippets and basic applications, accelerating backend development for Python web projects.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add claudchereji/visualverses --skill django-developer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
claudchereji
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned claudchereji/visualverses at 5971350ec1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5971350ec1
- Scanned
- 1 file, 281 lines
About this skill
What it does
This skill enables AI agents to develop and interact with Django web applications. It allows for creating new projects, managing models, generating views, and handling basic deployment tasks. The agent can also assist in debugging existing code and implementing new features within a Django environment.
When to use it
- Rapid Prototyping: Quickly build a simple web application or API endpoint for testing purposes.
- Feature Development: Implement specific functionalities (e.g., user authentication, form handling) within an existing Django project.
- Debugging & Maintenance: Troubleshoot errors and perform minor code modifications in a live Django environment.
- Model Creation: Define new data models with fields, relationships, and constraints for your application's database.
Key capabilities
- Django Project Creation
- Model Definition and Management
- View Generation
- Basic Deployment Assistance
- Code Debugging
Example prompts
- "Create a Django project named 'myproject'."
- "Define a model called 'Article' with fields 'title', 'content', and 'publication_date'."
- "Generate a view for displaying all articles."
- “Debug this error message: [paste error message here]”
Tips & gotchas
The agent requires access to a suitable development environment, including Python and Django. Complex deployment scenarios may require additional configuration beyond the skill's basic assistance.