Generic Python tooling skills used across HEP workflows: Typer CLIs, PEP-723 standalone scripts, packaging, code quality, and testing.
Plugin hep-python-tools from marketplace usatlas-marketplace in usatlas/marketplace. Commands read from the repo's manifest — yesterday.
cli-creatorUse when building a Python command-line interface with Typer: adding arguments and options to a script, creating subcommands, wiring an entry point into pyproject.toml, validating CLI inputs with callbacks, or adding a CLI layer to an existing analysis script or HEP workflow.
code-quality-toolsUse when setting up code quality tooling for a HEP Python project: configuring pre-commit hooks, adding ruff for linting and auto-formatting, setting up mypy for static type checking, or debugging linter failures in CI or a pre-commit run.
pytest-speedupUse when a pytest suite is slow and needs speeding up: profiling slow tests, reducing collection time, parallelizing with pytest-xdist or pytest-split, selecting a subset of tests to run, blocking inadvertent network or large-file disk access in HEP tests, or optimizing CI test run time.
python-packagingUse when creating a new Python package, adding pyproject.toml to an existing project, choosing a build backend, setting up src layout, configuring VCS-based versioning, or managing a development environment with pixi or uv for a HEP Python project.
python-testingUse when writing or configuring tests for a HEP Python project with pytest: setting up pyproject.toml test configuration, writing fixtures and parametrized tests, handling numerical tolerances for physics quantities, setting up code coverage, or choosing between unit and integration tests.
standalone-scriptUse when generating a self-contained Python script with PEP 723 inline dependency metadata: writing the script block header, making a script runnable with uv run --script, combining with a Typer CLI for argument handling, or creating a one-off analysis tool that should not live inside a package and
ATLAS analysis plugin: grid/catalog tools (Rucio, AMI, ATLAS Open Data), statistics (pyhf, cabinetry, HistFitter, TRExFitter, RooUnfold, pyhs3), analysis frameworks (TopCPToolkit, FastFrames, ServiceX), and Scikit-HEP tools.
43 skills · 5 agents
Skills for the UChicago ATLAS Analysis Facility (af.uchicago.edu): HTCondor batch jobs, JupyterLab, XCache, Rucio, ServiceX, Coffea Casa, Triton ML inference, and the AF MCP Platform.
1 skill · 1 MCP server
Skills for the BNL SDCC ATLAS Analysis Facility. Currently: migrating local ROOT files to BNL-OSG2_LOCALGROUPDISK via Rucio with symlink-farm access for transparent, proxy-free analysis on SDCC nodes.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Package any website or local web build into a lightweight desktop app with Pake CLI.
1 skill
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
16 skills · 1 command · 3 agents
AI-powered repository analysis agent using Repomix CLI. Analyzes local and remote repositories intelligently by running repomix commands, then reading and searching the generated output files to answer questions about code structure, patterns, and content.
2 commands · 1 agent
Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows. This plugin provides configuration guidance (LLM commit messages, project hooks, worktree paths), automatic activity tracking (🤖/💬 indicators in `wt list` showing active Claude sessions), and a `/wt-diff` pane showing each worktree's changes.
2 skills · hooks
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