Browse Skills — Page 232

pydantic-ai-dependency-injection

existential-birds/beagle

Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.

pydantic-ai-model-integration

existential-birds/beagle

Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.

pydantic-ai-testing

existential-birds/beagle

Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.

pydantic-ai-tool-system

existential-birds/beagle

Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.

pydantic-ai-v2

diegosouzapw/awesome-omni-skills

PydanticAI \u2014 Typed AI Agents in Python workflow skill. Use this skill when the user needs Build production-ready AI agents with PydanticAI \u2014 type-safe tool use, structured outputs, dependency injection, and multi-model support and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

pydantic-models-py

benjaminasterA/antigravity-awesome-skills

Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation ...

pydantic-models-py

microsoft/skills

Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.

pydantic-models-py-v2

diegosouzapw/awesome-omni-skills

Pydantic Models workflow skill. Use this skill when the user needs Create Pydantic models following the multi-model pattern for clean API contracts and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

pydanticai-docs

DougTrajano/pydantic-ai-skills

Use this skill whenever the user is working with the Pydantic AI framework — including building AI agents, defining structured outputs with Pydantic models, wiring up tools/function calling, configuring model providers (OpenAI, Anthropic, Gemini, etc.), managing dependencies via agent context, handling streaming responses, or debugging agent runs. Trigger this skill even for adjacent tasks like "how do I make my agent return JSON", "set up a multi-step agent", "add a tool to my agent", or "validate LLM output with Pydantic" — any time Pydantic AI is mentioned or implied as the target framework.

pydeseq2

K-Dense-AI/scientific-agent-skills

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

pydeseq2-differential-expression

jaechang-hits/SciAgent-Skills

Bulk RNA-seq DE with PyDESeq2: load counts, normalize, fit negative binomial models, Wald test (BH-FDR), LFC shrinkage, volcano/MA plots. Use for two-group comparisons, multi-factor designs with batch correction, multiple contrasts.

pydicom

K-Dense-AI/scientific-agent-skills

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

pydicom-medical-imaging

jaechang-hits/SciAgent-Skills

Pure Python DICOM for medical imaging (CT, MRI, X-ray, ultrasound). Read/write DICOM, pixels as NumPy, edit tags, windowing (VOI LUT), PHI anonymization, build DICOM, series→3D volumes. Use histolab for WSI pathology; nibabel for NIfTI.

pydub-automation

guia-matthieu/clawfu-skills

"Automate repetitive audio tasks with Python using PyDub for batch processing, format conversion, normalization, and content assembly. Use when: Processing large numbers of audio files consistently; Converting between audio formats at scale; Normalizing loudness across a batch of files; Assembling intros/outros automatically to episodes; Trimming silence or extracting segments programmatically"

pyghidra-scripting

cyberkaida/reverse-engineering-assistant

Write and run Python (PyGhidra) code inside the Ghidra session that ReVa's MCP server is already attached to, using the five ReVa scripting tools — `run-script`, `list-scripts`, `read-script`, `write-script`, `edit-script`. Use this whenever the user asks to execute Python against the current program, reach for the Ghidra Flat API directly, write a custom analysis pass, automate something the other ReVa tools don't expose, or persist a `.py` script in Ghidra's scripts directory. Also use when an existing ReVa MCP tool can't do what's needed and the right answer is "drop into PyGhidra for one call." Do NOT use this skill for plain ReVa tool calls that already have a dedicated MCP tool (use that tool instead); do NOT use it to build standalone Python programs that run pyghidra in their own process (the run-script tool runs *inside* the ReVa-hosted Ghidra).

pyhealth

K-Dense-AI/scientific-agent-skills

Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models (Transformer, RETAIN, GAMENet, SafeDrug, MICRON, StageNet, AdaCare, CNN/RNN/MLP), training with the PyHealth Trainer, computing clinical metrics, and using medical code utilities (ICD/ATC/NDC/RxNorm lookup and cross-mapping). Use this skill whenever the user mentions PyHealth, MIMIC, eICU, OMOP, EHR modeling, clinical prediction, drug recommendation, sleep staging, medical code mapping, ICD/ATC codes, or any healthcare ML pipeline that fits the dataset → task → model → trainer → metrics pattern, even if "PyHealth" isn't named explicitly.

pyimagej-fiji-bridge

jaechang-hits/SciAgent-Skills

Python bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops. Automates Fiji headlessly from Python. Use scikit-image for pure Python without Fiji plugins; napari for visualization.

pylabrobot

K-Dense-AI/scientific-agent-skills

Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.

pylint-checkers

TheBushidoCollective/han

Use when pylint checkers including built-in checkers, custom checkers, and checker development.

pylint-configuration

TheBushidoCollective/han

Use when pylint configuration including pylintrc, message control, plugins, and scoring system.

pylint-integration

TheBushidoCollective/han

Use when pylint CI integration including plugins, editor integration, and performance tuning.

pymatgen

K-Dense-AI/scientific-agent-skills

Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.

pymc

K-Dense-AI/scientific-agent-skills

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

pymc-bayesian-modeling

jaechang-hits/SciAgent-Skills

Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; predictive checks.

pymc-markets

mkurman/zorai

Bayesian inference for financial markets using PyMC. Stochastic volatility models, regime-switching, Bayesian portfolio optimization, factor models, and Markov chain Monte Carlo for risk estimation.

pymoo

K-Dense-AI/scientific-agent-skills

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

pyopenms

K-Dense-AI/scientific-agent-skills

Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.

pyopenms-mass-spectrometry

jaechang-hits/SciAgent-Skills

MS data processing with PyOpenMS for LC-MS/MS proteomics and metabolomics — mzML/mzXML I/O, signal processing (smoothing, peak picking, centroiding), feature detection/linking, peptide/protein ID with FDR, untargeted metabolomics. Use matchms for simple spectral matching.

pyopenms-skill

aipoch/medical-research-skills

Comprehensive tool for computational mass spectrometry using PyOpenMS; use when you need to read/write MS formats (mzML/mzXML/MGF), run signal processing (smoothing/peak picking), detect isotope features, or perform peptide identification in proteomics/metabolomics workflows.

pypi-doppler

terrylica/cc-skills

LOCAL-ONLY PyPI publishing with Doppler credentials. TRIGGERS - publish to PyPI, pypi upload, local publish. NEVER use in CI/CD.

pypict-skill

benjaminasterA/antigravity-awesome-skills

Pairwise test generation

pypict-skill-v2

diegosouzapw/awesome-omni-skills

Pypict Skill workflow skill. Use this skill when the user needs Pairwise test generation and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

pyportfolioopt

mkurman/zorai

Portfolio optimization library: mean-variance, Black-Litterman, CVaR optimization, risk parity, Hierarchical Risk Parity (HRP), and CLA. Factor models, shrinkage estimators, and ex-ante risk analysis.

pyright

bobmatnyc/claude-mpm-skills

Pyright fast Python type checker from Microsoft with VS Code integration and strict type checking modes

pysam

K-Dense-AI/scientific-agent-skills

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.

pysam-genomic-files

jaechang-hits/SciAgent-Skills

Read/write SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ. Region queries, pileup, variant filtering, read groups. Python htslib wrapper exposing samtools/bcftools CLI. Use STAR/BWA for alignment; GATK/DeepVariant for variant calling.

pytdc

K-Dense-AI/scientific-agent-skills

Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.

pytdc-therapeutics-data-commons

jaechang-hits/SciAgent-Skills

>

pytest

partme-ai/full-stack-skills

"Provides comprehensive guidance for pytest testing framework including test writing, fixtures, parametrization, mocking, and plugins. Use when the user asks about pytest, needs to write Python tests, use pytest fixtures, or configure pytest for Python projects."

pytest-advanced

TheBushidoCollective/han

Use when advanced Pytest features including markers, custom assertions, hooks, and coverage configuration.

pytest-code-review

existential-birds/beagle

Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.

pytest-coverage

github/awesome-copilot

'Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.'

pytest-fixtures

TheBushidoCollective/han

Use when pytest fixtures, conftest files, parametrize decorators, and fixture scopes for comprehensive test setup.

pytest-gen

github/copilot-cli-for-beginners

Generate comprehensive pytest tests - use when generating tests, creating test suites, or testing Python code

pytest-plugins

TheBushidoCollective/han

Use when pytest plugin ecosystem including pytest-cov, pytest-mock, and custom plugin development.

pyth

sendaifun/skills

Complete guide for Pyth Network - decentralized oracle providing real-time price feeds for DeFi. Covers price feed integration, confidence intervals, EMA prices, on-chain CPI, off-chain fetching, and streaming updates for Solana applications.

python

alinaqi/maggy

Python development with ruff, mypy, pytest - TDD and type safety

Python Specialist

Community-Access/accessibility-agents

Python language expert -- debugging, packaging (PyInstaller/Nuitka/cx_Freeze), testing (pytest/unittest), type checking (mypy/pyright), async/concurrency patterns, performance optimization, dependency management, and cross-platform development.

python-anti-patterns

wshobson/agents

Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.

python-appservice-deploy

microsoft/skills

Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \"Flask App Service\", \"Django App Service\", \"FastAPI App Service\", \"deploy Python to App Service\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.

python-architecture

microsoft/apm

>

python-async-patterns

TheBushidoCollective/han

Master Python asynchronous programming with asyncio, async/await,

python-aurora

vercel-labs/nextjs-fastapi-chat-app-starter

AWS Aurora PostgreSQL and Aurora DSQL Python integration using asyncpg. Use when building Python backends with Aurora PostgreSQL or Aurora DSQL.

python-azure-iot-edge-modules

github/awesome-copilot

Build and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks.

python-backend

yonatangross/orchestkit

Python backend patterns for asyncio, FastAPI, SQLAlchemy 2.0 async, and connection pooling. Use when building async Python services, FastAPI endpoints, database sessions, or connection pool tuning.

python-background-jobs

wshobson/agents

Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.

python-code-quality

microsoft/agent-framework

>

python-code-review

existential-birds/beagle

Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usage, or exception handling.

python-code-style

wshobson/agents

Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.

python-configuration

wshobson/agents

Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.

python-data-classes

TheBushidoCollective/han

Use when Python data modeling with dataclasses, attrs, and Pydantic. Use when creating data structures and models.

python-debugpy

openclaw/openclaw

Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.

python-design-patterns

wshobson/agents

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.

python-development

microsoft/agent-framework

>

python-development

Community-Access/accessibility-agents

Python and wxPython development reference patterns, common pitfalls, framework-specific guides, desktop accessibility APIs, and cross-platform considerations. Use when building, debugging, packaging, or reviewing Python desktop applications.

python-development-python-scaffold

benjaminasterA/antigravity-awesome-skills

You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint

python-development-python-scaffold-v2

diegosouzapw/awesome-omni-skills

Python Project Scaffolding workflow skill. Use this skill when the user needs You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-error-handling

wshobson/agents

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

python-executor

inferen-sh/superpowers

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib

python-fastapi-development

diegosouzapw/awesome-omni-skills

Python/FastAPI Development Workflow workflow skill. Use this skill when the user needs Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-fastapi-development-v2

diegosouzapw/awesome-omni-skills

Python/FastAPI Development Workflow workflow skill. Use this skill when the user needs Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-feature-lifecycle

microsoft/agent-framework

>

python-guidelines

fcakyon/claude-codex-settings

This skill should be used when writing, reviewing, or refactoring Python code. Covers code integration, idiomatic patterns, docstring formatting, anti-abstraction rules, and software engineering basics.

python-logging-best-practices

terrylica/cc-skills

Python logging with loguru, structlog, and orjson. TRIGGERS - loguru, structlog, structured logging

python-mcp-server-generator

github/awesome-copilot

Use this skill when the user wants to create a new Model Context Protocol (MCP) server in Python. Also use it to expose Python functions, an API, or a database to AI clients as MCP tools. The skill makes a uv project with the MCP Python SDK v2 (MCPServer), typed tools, in-memory tests, and client configuration. Do not use it for an MCP client or for a server in another language.

python-memory-safe-scripts

terrylica/cc-skills

>-

python-observability

wshobson/agents

Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.

python-on-vercel

vercel-labs/academy-skills

>-

python-package-management

microsoft/agent-framework

>

python-packaging

benjaminasterA/antigravity-awesome-skills

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python ...

python-packaging

wshobson/agents

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

python-packaging-v2

diegosouzapw/awesome-omni-skills

Python Packaging workflow skill. Use this skill when the user needs Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-parallelization

elizaOS/eliza

Transform sequential Python code into parallel/concurrent implementations. Use when asked to parallelize Python code, improve code performance through concurrency, convert loops to parallel execution, or identify parallelization opportunities. Handles CPU-bound (multiprocessing), I/O-bound (asyncio, threading), and data-parallel (vectorization) scenarios.

python-patterns

affaan-m/ECC

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

python-patterns-v2

diegosouzapw/awesome-omni-skills

Python Patterns workflow skill. Use this skill when the user needs Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-patterns-v3

diegosouzapw/awesome-omni-skills

Python Patterns workflow skill. Use this skill when the user needs Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-performance

seaworld008/Commonly-used-high-value-skills

Use when profiling Python code, reducing memory usage, optimizing hot paths, choosing concurrency patterns, or reviewing performance regressions in Python services and scripts.

python-performance-optimization

wshobson/agents

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

python-performance-optimization

benjaminasterA/antigravity-awesome-skills

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

python-performance-optimization-v2

diegosouzapw/awesome-omni-skills

Python Performance Optimization workflow skill. Use this skill when the user needs Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pipeline

jamditis/claude-skills-journalism

Python data processing pipelines with modular architecture. Use when building content processing workflows, implementing dispatcher patterns, integrating Google Sheets/Drive APIs, or creating batch processing systems. Covers patterns from rosen-scraper, image-analyzer, and social-scraper projects.

python-pptx-generator

diegosouzapw/awesome-omni-skills

Python PPTX Generator workflow skill. Use this skill when the user needs Generate complete Python scripts that build polished PowerPoint decks with python-pptx and real slide content and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pptx-generator-v2

diegosouzapw/awesome-omni-skills

Python PPTX Generator workflow skill. Use this skill when the user needs Generate complete Python scripts that build polished PowerPoint decks with python-pptx and real slide content and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pro

Jeffallan/claude-skills

Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.

python-pro-v2

diegosouzapw/awesome-omni-skills

python-pro workflow skill. Use this skill when the user needs Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pro-v3

diegosouzapw/awesome-omni-skills

python-pro workflow skill. Use this skill when the user needs Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-project-structure

wshobson/agents

Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.

python-prototype-pollution

wgpsec/AboutSecurity

Python 原型链污染（属性注入/Class Pollution）检测与利用。当目标为 Python Web 应用（Flask/Sanic/Django/FastAPI）且存在递归合并(merge)、深度属性设置(pydash.set_)、JSON 配置更新接口时使用。覆盖污染入口识别、__globals__链构造、Flask SECRET_KEY/Jinja2定界符/searchpath污染、pydash路径过滤绕过、Sanic污染链、RCE/文件读取/权限提升利用

python-providers

ComposioHQ/composio

Create, modify, test, or package Python provider adapters under python/providers, including framework-specific dependencies, public imports, type inference, and provider metadata. Use for Python provider work only; use python-sdk for core SDK changes.

python-pypi-package-builder

github/awesome-copilot

'End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.'