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By RobustaRush
Guided Django project scaffolding and component addition (auth, payments, REST, WebSockets, Celery, Docker, CI/CD, Tailwind, Sentry) via interactive prompts โ for new or existing codebases.
npx claudepluginhub robustarush/seedkit --plugin seedkitBootstrap a new Django project, or add components to an existing one โ auth, payments, REST, Celery / django-tasks, async / WebSockets, Tailwind, S3, structlog, healthchecks, Docker, CI, deploy, dbbackup, Sentry. Use whenever the user wants to scaffold Django or extend an existing Django project.
Bootstrap a new Django project, or add components โ auth (allauth, magic-link, axes, 2FA), payments (Stripe, dj-stripe), REST (django-modern-rest, django-bolt), Celery / django-tasks, async views & WebSockets (ASGI, uvicorn worker, django-channels, channels-redis), Tailwind+DaisyUI, S3 storage, structlog, healthchecks, Docker, CI, deploy (VPS / Fly / GitHub-SSH), dbbackup, Sentry/Bugsink โ to an existing Django codebase. Use whenever the user wants to scaffold Django, integrate a Django package, set up async / WebSockets, set up production deploys, wire CI/CD, or extend an existing Django project.
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Opinionated Django development toolkit with Ninja API, Unfold admin, pytest, and Dynaconf patterns
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Advanced Django skills for ORM, class-based views, and REST framework.
Django backend development suite: models, views, DRF APIs, GraphQL, and ORM optimization
Complete fullstack development toolkit: React, Express/FastAPI, PostgreSQL scaffolding with AI agents
Reviews and refines Django/Python code for clarity, consistency, and maintainability while preserving all functionality. Applies Django best practices, PEP 8, and project standards.
An agent skill to start new Django projects or extend existing ones.
/seedkit SaaS landing + waitlist, GDPR-friendly stack (mail, analytics, error reporting), VPS deploy
/seedkit add proper auth โ magic link, lockout on brute force, optional 2FA
/seedkit look at our repo and tell us what's worth adding next
Helps you with: Python deps & venvs, settings for dev vs prod, custom user model, social & password login, passwordless magic-link login, brute-force protection, background jobs, async views, WebSockets, Redis caching, S3 for static & media, outbound email, Tailwind without Node, GDPR-safe analytics, security headers, CSP headers, production error tracking, structured logs, N+1 query detection, safe migrations, linting & formatting, type checking, scheduled DB backups, Docker for local dev, auto-HTTPS reverse proxy, CI pipeline โ and more.
/plugin marketplace add RobustaRush/seedkit
/plugin install seedkit@robusta
Via the skills CLI โ installs into whichever agent dirs it detects:
npx skills add RobustaRush/seedkit # project scope
npx skills add RobustaRush/seedkit -g # global (all your projects)
npx skills add RobustaRush/seedkit -a cursor # pin to one agent
Then, in whatever empty directory you'd like to populate:
/seedkit
Two skills ship in this repo.
/seedkit started from the actual package docs โ the reference files have exact package versions, config snippets, and known pitfalls.
/seedkit-slim relies only on what the model already knows โ no reference files.
Both go through the same test cycle: generate code, boot it, check it. Failures get fixed in the skill text.
The skill targets the problems that show up in LLM-generated Django code that doesn't run out of the box: stale package versions, outdated patterns, wrong async defaults, missing production wiring. The testcase loop's job is to find those failures and fix them in the instructions, so the next generation doesn't repeat them.
It also saves you the prompt-writing: the instructions that would otherwise need a paragraph per project are baked in.
/seedkit add [feature] safely appends code without overwriting.This is a fresh project under active development. While the skill is verified against the nine core scenarios in seedkit-examples, we are still mapping out how the agent behaves outside that set.
The testcase harness currently runs only against Claude Sonnet. Other models (Opus, Haiku, GPT, Gemini) are not yet covered โ they may work, but skill quality on those models is not verified.
Production deployment scenarios (VPS, Fly, GitHub-SSH) still need verification โ they are wired up in the skill but not yet exercised end-to-end against real targets.
If you run into issues, strange behavior, or have ideas for new integrations, please open an issue. Feedback is welcome.