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Orbitant

Official

@weorbitant

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23Public Repos
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26Published Skills

Where engineering meets business

Skills Distribution
DomainDeveloper To...Backend Architecture (40%)Database Engineering (30%)Technical Document.. (30%)

Agent Skills by Orbitant

Showing 26 vetted skills indexed across 1 GitHub repositories.

weorbitantweorbitant
1

commit

Group uncommitted changes into conventional commits with gitmoji.

Official
Intermediate
weorbitantweorbitant
1

postgresql-patterns

Optimize PostgreSQL usage in Python applications with schema, indexing, and query tuning patterns.

Official
Advanced
weorbitantweorbitant
1

django-patterns

Define Django design patterns for models, views, admin, signals, and Django Ninja APIs.

Official
Advanced
weorbitantweorbitant
1

agent-browser

Automate browser tasks via CLI with ref-based element interactions.

Official
Intermediate
weorbitantweorbitant
1

file-todos

Create and triage markdown todo files with dependency tracking.

Official
Advanced
weorbitantweorbitant
1

python-style

Apply Python 3.10+ style conventions with project-specific overrides to code reviews and PRs.

Official
Advanced
weorbitantweorbitant
1

agent-native-architecture

Extract agent-native architecture Skills from SKILL.md frontmatter and body.

Official
Advanced
weorbitantweorbitant
1

compound-docs

Document solved problems as categorized Markdown files with validated YAML frontmatter.

Official
Advanced
weorbitantweorbitant
1

rclone

Automate cloud-storage file transfers and backups using rclone.

Official
Advanced
weorbitantweorbitant
1

python-typing

Design type-safe Python data models with Pydantic v2 and modern type hints.

Official
Advanced
weorbitantweorbitant
1

orchestrating-swarms

Coordinate multi-agent swarms for parallel reviews, pipelines, and task queues.

Official
Advanced
weorbitantweorbitant
1

setup

Generate compound-engineering.local.md to configure Python review agents.

Official
Intermediate
weorbitantweorbitant
1

document-review

Review brainstorm or plan documents for clarity and readiness criteria.

Official
Intermediate
weorbitantweorbitant
1

fastapi-patterns

Apply FastAPI patterns with dependency injection, async routing, and Pydantic schemas.

Official
Intermediate
weorbitantweorbitant
1

skill-creator

Generate standardized SKILL.md frontmatter and starter resource directories for Claude skills.

Official
Intermediate
weorbitantweorbitant
1

django-drf

Provide reference patterns for DRF-based REST APIs covering serializers, viewsets, routers, authentication, and permissions.

Official
Advanced
weorbitantweorbitant
1

create-agent-skills

Create and audit Claude Code skills with structured SKILL.md files.

Official
Advanced
weorbitantweorbitant
1

brainstorming

Clarify requirements and explore design options through structured brainstorming phases.

Official
Advanced
weorbitantweorbitant
1

pytest-patterns

Provide pytest patterns for fixtures, parametrization, mocking, and async testing.

Official
Intermediate
weorbitantweorbitant
1

git-worktree

Automates Git worktree creation, listing, switching, and cleanup via a Bash script.

Official
Intermediate
weorbitantweorbitant
1

frontend-design

Create accessible frontend interfaces with typography, color, and motion across modern frameworks.

Official
Advanced
weorbitantweorbitant
1

django-async

Orchestrate async Celery tasks with Django Channels and WebSocket progress updates.

Official
Advanced
weorbitantweorbitant
1

postgis-patterns

Document spatial design patterns for PostGIS, GeoDjango, and GeoAlchemy2.

Official
Advanced
weorbitantweorbitant
1

gemini-imagegen

Generate and edit images from text prompts using the Gemini AI API.

Official
Advanced

Frequently Asked Questions About Orbitant

FAQPage Schema
What specific backend tasks can Orbitant patterns facilitate?β–Ό

These patterns enable high-performance backend development, including asynchronous routing with FastAPI, complex query tuning for PostgreSQL, spatial data modeling with PostGIS, and robust REST interface design using Django DRF or Django Ninja.

Which engineering personas benefit from these patterns?β–Ό

Backend engineers, database administrators, and technical architects focused on building scalable, type-safe web services will find these patterns useful for maintaining consistent code quality and architectural standards across complex enterprise systems.

What are the primary prerequisites for implementing these patterns?β–Ό

Implementation requires a functional environment supporting modern versions of the target frameworks, specifically Python 3.10+, Pydantic v2 for data validation, and compatible database drivers for PostgreSQL and SQLAlchemy 2.0.