This skill should be used when users need to rotate images by 90 degrees. It handles image rotation tasks for common formats (PNG, JPG, JPEG, GIF, BMP, TIFF) using a reliable Python script that preserves image quality and supports both clockwise and counter-clockwise rotation.
Expert Python developer specializing in modern Python 3.11+ development with deep expertise in type safety, async programming, data science, and web frameworks. Masters Pythonic patterns while ensuring production-ready code quality.
Creates Infrahub transforms that convert data into JSON, text, CSV, or device configs using Python or Jinja2 templates. TRIGGER when: building config generation, data export, format conversion, Jinja2 templates, artifact pipelines. DO NOT TRIGGER when: designing schemas, writing validation checks, creating generators, querying live data.
Software installation assistant using x-cmd's install module. Use this skill whenever the user needs to query software installation methods, get installation commands, or understand how to install various software packages. Covers: getting installation commands (x install --cat <software>), listing supported software (x install --ll), and more. Triggered by queries like "how to install node", "docker installation command", "install python", "show me git install command", or any software installation lookup.
x-env is x-cmd's environment and package management module for installing and managing third-party software, programming language runtimes, and command-line tools. Use this skill when: installing or managing runtimes (node, python, go, bun, java, rust); installing CLI tools (jq, yq, fzf, himalaya, claude-code); managing multiple software versions (specify versions, switch versions); cleaning up unused packages; viewing installed software paths or dependencies; asking how to install software; temporarily using software in current shell session (try); permanently installing software to user environment (use); upgrading installed software versions; running scripts with specific software versions. This is the core package manager in x-cmd ecosystem.
Uses the uv Python package and project manager correctly for dependencies, venvs, and scripts. Use when creating or modifying Python projects, adding dependencies, running scripts with inline deps, managing virtual environments, pinning Python versions, running CLI tools from PyPI, setting the IDE Python interpreter, or using uv in CI (e.g. GitHub Actions) or Docker containers. Use when the user mentions uv, pyproject.toml, uv.lock, uv run, uv add, uv sync, .venv, Python interpreter, poetry, pipenv, conda, CI, Docker, GitHub Actions, or asks to use uv instead of pip or poetry.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
PowerPoint/PPTX design for Dome. Use when creating ppt_create with script (Python/python-pptx) or spec. Palettes, typography, layouts. Script must call prs.save(os.environ['PPTX_OUTPUT_PATH']).
Create a pyproject.toml for a source connector and build it as an independent Python package.
Set up automated Slack notifications for LimaCharlie case events. Creates a Python playbook, D&R rules, API key, and secrets so that case creations, resolutions, severity upgrades, and closures post rich messages to a Slack channel. Usage - /init-cases-to-slack <org_name>
Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
Read, write, and manipulate SEG-Y seismic data files. Fast C library with Python bindings for trace, header, inline, and crossline access. Use when Claude needs to: (1) Read/inspect SEG-Y files, (2) Extract trace data or headers, (3) Access 3D survey data by inline/crossline, (4) Create new SEG-Y files from arrays, (5) Modify existing SEG-Y files, (6) Extract subsets of seismic data, (7) Read/write Seismic Unix format.
记录 DCjanus 在不同语言中偏好的第三方库与使用场景，供 AI 在选型、引入依赖或替换库时优先参考。适用于 Python/Rust/Go 的库选择、技术方案对比、或需要遵循 DCjanus 个人偏好进行开发的场景。
Python best practices, FastAPI, Pandas ve veri bilimi kütüphaneleri kullanımı.
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.
