Browse Skills — Page 157

pushinator

vm0-ai/vm0-skills

Pushinator API for push notifications. Use when user mentions "Pushinator",

pushing-ci-changes

openai/codex

Pushing GitHub Actions changes, resolving push rejection, requesting upload exceptions.

pushover-automation

ComposioHQ/awesome-claude-skills

"Automate Pushover tasks via Rube MCP (Composio). Always search tools first for current schemas."

puzzle-activity-planner

diegosouzapw/awesome-omni-skills

Puzzle Activity Planner workflow skill. Use this skill when the user needs Plan puzzle-based activities for classrooms, parties, and events with pre-configured generator links and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

puzzle-activity-planner-v2

diegosouzapw/awesome-omni-skills

Puzzle Activity Planner workflow skill. Use this skill when the user needs Plan puzzle-based activities for classrooms, parties, and events with pre-configured generator links and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

pvr-triage-monitor

aaronjmars/aeon

Weekly lifecycle check on submitted private vulnerability reports — polls triage state, detects maintainer acceptance or rejection, surfaces action items when PVRs age past 30 days with no response

pvr-watchlist

aaronjmars/aeon

Weekly probe of repos on the security watchlist — check if private vulnerability reporting has been enabled, notify when status flips, re-submit any queued advisories or flag for re-research when draft was lost

pwa-development

alinaqi/maggy

Progressive Web Apps - service workers, caching strategies, offline, Workbox

py

crazyguitar/pysheeet

Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC. Use for: Python questions, Python interview preparation, debugging, performance optimization, async patterns, library examples, code review, best practices, MLOps workflows, distributed computing, security implementations, and any Python development tasks.

pyats-asa-firewall

automateyournetwork/netclaw

Cisco ASA firewall operations via pyATS — VPN sessions, failover state, interfaces, routing, service policies, resource usage, AnyConnect monitoring. Use when checking ASA failover status, monitoring VPN sessions, auditing ASA security, or troubleshooting AnyConnect connectivity.

pyats-config-mgmt

automateyournetwork/netclaw

Network change management - pre-change baselines, configuration deployment, post-change verification, rollback procedures, and compliance validation. Use when pushing config to a device, planning a network change, rolling back a configuration, or running compliance checks.

pyats-dynamic-test

automateyournetwork/netclaw

Generate and execute deterministic pyATS aetest validation scripts - interface state, OSPF neighbors, BGP paths, ping matrices, and custom compliance tests. Use when writing a network test, validating post-change state, running pass/fail checks, or building automated regression tests.

pyats-f5-ltm

automateyournetwork/netclaw

F5 BIG-IP LTM/GTM operations via pyATS iControl REST — virtual servers, pools, nodes, monitors, profiles, iRules, persistence, GTM wide IPs, DNS, data groups. Use when checking F5 virtual server status, auditing pool members, reviewing iRules, or inspecting GTM wide IP health.

pyats-f5-platform

automateyournetwork/netclaw

F5 BIG-IP platform operations via pyATS iControl REST — system, networking, HA/CM, auth, analytics, security, APM, live-update, ADC certs, file management. Use when checking BIG-IP system health, verifying HA sync status, auditing certificates, or inspecting F5 platform resources.

pyats-health-check

automateyournetwork/netclaw

Comprehensive network device health monitoring - CPU, memory, interfaces, hardware, NTP, logging, environment, and uptime analysis. Use when running a device health check, monitoring CPU or memory usage, checking interface errors, or validating NTP sync.

pyats-junos-interfaces

automateyournetwork/netclaw

JunOS interface operations via pyATS — physical/logical interfaces, LACP, CoS, LLDP, ARP, BFD, IPv6 neighbors, traffic monitoring, optics diagnostics. Use when checking Juniper interface status, auditing LACP members, inspecting optics power levels, or reviewing ARP and LLDP neighbors.

pyats-junos-routing

automateyournetwork/netclaw

JunOS routing operations via pyATS — OSPF/OSPFv3, BGP, route table, MPLS/LDP/RSVP, TED, PFE, ping, traceroute across Juniper devices. Use when checking Juniper OSPF neighbors, viewing BGP summary, inspecting MPLS LSPs, tracing routes, or auditing the JunOS route table.

pyats-junos-system

automateyournetwork/netclaw

JunOS system operations via pyATS — chassis health, hardware inventory, system info, NTP, SNMP, files/logs, firewall counters, DDoS protection, services accounting. Use when checking Juniper chassis alarms, auditing hardware inventory, reviewing system uptime, or inspecting JunOS firewall counters.

pyats-linux-network

automateyournetwork/netclaw

Linux host network operations via pyATS — interface configuration, routing tables, network connections, and multi-table route inspection across fleet hosts. Use when checking Linux interface status, viewing routing tables, auditing host network config, or comparing routes across hosts.

pyats-linux-system

automateyournetwork/netclaw

Linux host system operations via pyATS — process monitoring, filesystem inspection, Docker container stats, package/tool verification across fleet hosts. Use when checking running processes, monitoring Docker containers, inspecting log files, or verifying system tools on Linux hosts.

pyats-linux-vmware

automateyournetwork/netclaw

VMware ESXi host operations via pyATS — VM inventory, snapshot management, hypervisor inspection across ESXi hosts in the testbed. Use when listing VMs on ESXi, checking snapshot age, auditing VMware inventory, or verifying pre-change snapshots exist.

pyats-network

automateyournetwork/netclaw

Network device automation via pyATS - run show commands, ping, apply config, learn config/logging, list devices, run Linux commands, execute dynamic tests on Cisco IOS-XE/NX-OS devices. Use when running CLI commands on routers or switches, checking interface status, applying configuration changes, or collecting device data via pyATS.

pyats-parallel-ops

automateyournetwork/netclaw

Fleet-wide parallel device operations - concurrent health checks, config audits, routing snapshots, severity-sorted reporting, and failure-isolated multi-device automation. Use when checking all devices at once, running bulk health checks, collecting configs from the entire fleet, or comparing state across multiple routers and switches.

pyats-routing

automateyournetwork/netclaw

CCIE-level routing protocol analysis - OSPF, BGP, EIGRP, IS-IS, static routes, RIB/FIB verification, redistribution audit, and convergence validation. Use when analyzing routing tables, debugging OSPF neighbors, checking BGP peering, verifying route redistribution, or validating convergence after changes.

pyats-security

automateyournetwork/netclaw

Network security audit - ACLs, AAA, control plane policing, management plane hardening, encryption, port security, and CIS benchmark checks. Use when auditing device security posture, checking compliance, hardening a router or switch, reviewing access lists, or investigating unauthorized access.

pyats-topology

automateyournetwork/netclaw

Network topology discovery via CDP/LLDP neighbors, ARP tables, routing peers, and interface mapping to build complete network maps. Use when mapping the network, building a diagram, discovering what is connected to what, or documenting device neighbors and links.

pyats-troubleshoot

automateyournetwork/netclaw

Systematic network troubleshooting - connectivity, routing, interface, protocol, and performance issues using structured OSI-layer and divide-and-conquer methodology. Use when something is broken, a device is unreachable, a link is flapping, users report slow performance, or an OSPF/BGP adjacency is down.

pydantic

TerminalSkills/skills

>-

pydantic-ai

TerminalSkills/skills

>-

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

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.

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.

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.

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.

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.

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.

pylon

BuilderIO/agent-native

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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-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-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

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.

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.

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.

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.

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-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

elophanto/EloPhanto

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 on Vercel

vercel-labs/academy-skills

Companion skill for the [Python on Vercel](https://vercel.com/academy/python-on-vercel) course. Ship a FastAPI backend and a Next.js 16 frontend as a single Vercel project, on the hobby plan, under one domain.

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-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-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

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

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-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-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-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

'Generate a complete MCP server project in Python with tools, resources, and proper configuration'

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-packaging

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-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-optimization

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-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-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-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

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-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.