implement-flet-extension
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Python learning module for R users, featuring a Jeopardy game project and Claude Code integration for AI tutoring
A vscode extension that provides data / logic flow diagrams similar to Unreal Engine's Blueprints for Python projects
Django access control and IDOR security review. Use when reviewing Django views, DRF viewsets, ORM queries, or any Python/Django code handling user authorization. Trigger keywords: IDOR, access control, authorization, Django permissions, object permissions, tenant isolation, broken access.
Skrift is a lightweight async Python CMS featuring Litestar, WordPress-style template resolution, and SQLAlchemy async database access.
A Claude Code plugin for reviewing CPython C extensions — finding API misuse, memory safety bugs, compatibility issues, and correctness problems.
fix is a set of AI agent configurations and automated workflows optimized for Python and ML development, focused on regression test-driven bug fixing.
Python library to read, write and convert data files with formats BSON, JSON, NDJSON, Parquet, ORC, XLS, XLSX, XML and many others
project-docling-engineer is a skill that enables developers to optimize Python + Docling + DOCX workflows with a focus on architecture clarity, testability, and staged delivery.
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens
copilot-instructions-blueprint-generator is a Python-based AI agent that generates project configuration blueprints based on predefined variables such as project type, architecture style, and code quality focus.
"Extend with llm, stabilise with code" - Prompts when you're exploring, Python when you're certain. Workers and tools form one function space—refactor between them.