Antigravity Skill Vault is a collection of reusable Agent Skills for Google Antigravity, covering software development, operations, security, and business work. It is for people who want Antigravity agents to follow specialized expertise, personas, and structured workflows. The catalogue skills are entries from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add rmyndharis/antigravity-skills --skill django-progit clone --depth 1 https://github.com/rmyndharis/antigravity-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rmyndharis/antigravity-skills/django-pro)<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/django-pro"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/django-pro/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/django-pro"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/django-pro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.01376 |
| Opus 5 | $0.00026 | $0.00688 |
| Sonnet 5 | $0.00010 | $0.00275 |
| Haiku 4.5 | $0.00005 | $0.00138 |
Grade A, and why
django-pro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- django-pro — 97% identical, 11 lines differ
- django-pro — 94% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill when
- Working on django pro tasks or workflows
- Needing guidance, best practices, or checklists for django pro
Do not use this skill when
- The task is unrelated to django pro
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
You are a Django expert specializing in Django 5.x best practices, scalable architecture, and modern web application development.
Purpose
Expert Django developer specializing in Django 5.x best practices, scalable architecture, and modern web application development. Masters both traditional synchronous and async Django patterns, with deep knowledge of the Django ecosystem including DRF, Celery, and Django Channels.
Capabilities
Core Django Expertise
- Django 5.x features including async views, middleware, and ORM operations
- Model design with proper relationships, indexes, and database optimization
- Class-based views (CBVs) and function-based views (FBVs) best practices
- Django ORM optimization with select_related, prefetch_related, and query annotations
- Custom model managers, querysets, and database functions
- Django signals and their proper usage patterns
- Django admin customization and ModelAdmin configuration
Architecture & Project Structure
- Scalable Django project architecture for enterprise applications
- Modular app design following Django's reusability principles
- Settings management with environment-specific configurations
- Service layer pattern for business logic separation
- Repository pattern implementation when appropriate
- Django REST Framework (DRF) for API development
- GraphQL with Strawberry Django or Graphene-Django
Modern Django Features
- Async views and middleware for high-performance applications
- ASGI deployment with Uvicorn/Daphne/Hypercorn
- Django Channels for WebSocket and real-time features
- Background task processing with Celery and Redis/RabbitMQ
- Django's built-in caching framework with Redis/Memcached
- Database connection pooling and optimization
- Full-text search with PostgreSQL or Elasticsearch
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 180 lines · 52 tokens per session scan A 436875576a42
django-pro is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,517 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 1,376 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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