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background-jobs
Async task processing with Celery, ARQ, and Redis for Python backends. Use when implementing background tasks, job queues, workers, scheduled jobs, or periodic task processing.
python-style
Apply Python best practices when reviewing or writing code, including PEP 8, type annotations, docstrings, and common anti-patterns to avoid.
vcr-http-recording
VCR.py HTTP recording for Python tests. Use when testing Python code making HTTP requests, recording API responses for replay, or creating deterministic tests for external services.
stellar-dev
End-to-end Stellar development playbook. Covers Soroban smart contracts (Rust SDK), Stellar CLI, JavaScript/Python/Go SDKs for client apps, Stellar RPC (preferred) and Horizon API (legacy), Stellar Assets vs Soroban tokens (SAC bridge), wallet integration (Freighter, Stellar Wallets Kit), smart accounts with passkeys, status-sensitive zero-knowledge proof patterns, testing strategies, security patterns, and common pitfalls. Optimized for payments, asset tokenization, DeFi, privacy-aware applications, and financial applications. Use when building on Stellar, Soroban, or working with XLM, Stellar Assets, trustlines, anchors, SEPs, ZK proofs, or the Stellar RPC/Horizon APIs.
exercise-designer
Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.
svg-logo-generator
Generate high-quality, minimalistic, and geometric SVG logos using Python scripts. Use this skill when users need to create logos, icons, or visual identities with geometric primitives (circles, rects, paths) and specific color schemes. Applies generative design principles with standardized workflows for scalable SVG output.
ponyflash
Generate images, videos, speech audio, and music using the PonyFlash Python SDK. Also handle local media editing with FFmpeg, including clip, concat, transcode, extract audio, frame capture, subtitle capability checks, and ASS subtitle prep. Use when the user asks to create, generate, produce, edit, trim, merge, concatenate, transcode, subtitle, or render AI-generated media content.
sqlite-ops
Patterns for SQLite databases in Python projects - state management, caching, and async operations. Triggers on: sqlite, sqlite3, aiosqlite, local database, database schema, migration, wal mode.
python-database-patterns
SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
semantic-kernel
Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.
aws-cdk-python-setup
Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.
python-patterns
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
pypi-publish
Publishing duroxide-python to PyPI. Use when releasing a new version, building platform wheels, or publishing to the Python Package Index.
virtual-environment
Check and create virtual environments for projects that need them. Use when starting Python/Node projects, or when dependency isolation is needed. Activates for Python, Node.js, and similar ecosystems.
dataverse-python-quickstart
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
python-mcp-server-generator
Generate a complete MCP server project in Python with tools, resources, and proper configuration
omero-integration
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
geopandas
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.