4.3K skills · sorted by relevance
Develop and update MicroPython apps on an already provisioned Cardputer-Adv. Add apps to its launcher, transfer individual changed files without reflashing, inspect serial logs, and run a single command through the device’s interactive Python console.
Add Python type hints and configure strict checking with mypy or pyright to catch type errors before execution. Covers reusable classes that preserve type information, interfaces defined by required members, and checks for possibly missing values.
Organize Python projects with clear file responsibilities, directory layouts, and public interfaces—the functions and classes intended for other code to use. Covers new projects, existing code reorganization, test placement, package exports, and dependency direction.
Keep TypeScript and Python SDKs consistent when shared behavior or backend APIs change. Aligns public API names, use of generated clients, and documentation examples, including updates to the fixed versions of generated clients.
Generate Python code to clean, transform, analyze, visualize, and model BigQuery data with BigQuery DataFrames. The skill keeps processing in the cloud and uses familiar table operations, with guidance for previews, schema checks, and machine learning.
Helps write and improve Python code with type hints, tests, and organized package settings. Covers dependency management, asynchronous tasks that wait on external operations, and profiling to identify performance bottlenecks before making changes.
Builds CARLA's ue4-dev branch on Linux, producing the Unreal Engine 4.26 editor, server modules, and an installed Python client package. Fetches required content, optionally compiles native ROS 2 support, and verifies the build against a source-built server.
Build Python 3.11+ applications with type annotations, asynchronous operations, and structured error handling. The skill also creates pytest tests and checks code with mypy, black, and ruff to support consistent implementation and validation.
Create interactive web demos and chat interfaces in Python with Gradio. Connect functions to text, image, audio, and file controls, arrange screen layouts, and define what happens when users click buttons or change inputs.
Write source files when direct file writing fails on quotes, backticks, or embedded variables in strings. The skill uses a temporary Python script executed through the shell and supports writing several files in one pass.
Work around file-writing failures involving quotes, backticks, or template literals by using a Python helper script. Then run TypeScript directly through Node.js and filter diagnostic output to focus on errors reported in newly written files.
Continue Python work when the code sandbox is unavailable by running scripts through run_shell. The workflow covers recognizing connection failures, installing required packages, reading and writing workspace files, and checking execution results.
Run Python through run_shell when code execution tools repeatedly fail. This workflow embeds a multiline script directly in a shell command, supporting tasks such as CSV conversion and PDF generation while checking execution output.
Run multi-line Python scripts through run_shell when execute_code_sandbox repeatedly fails. The guide explains heredocs, a way to pass blocks of text to a command, with examples for PDF creation, data processing, and inspecting errors.
Recover failed Python tasks by saving the code as a script and running it through the system shell. The workflow covers spreadsheet generation, data processing, output verification, and troubleshooting missing packages, paths, or permissions.
Recover from failed inline Python execution by saving the code as a script, running it through the shell, and checking the output. The four-step workflow helps diagnose errors in multiline code and spreadsheet generation tasks.
Create PowerPoint presentations with specified slide content and structure, switching from shell_agent to python-pptx if generation fails. The workflow also locates misplaced files, checks their size and type, and records errors to help diagnose problems.
Investigate Python script failures by capturing regular output, error details, and exit codes. Log the working directory and resolved file paths to expose missing files, permission problems, missing modules, or differences in automated execution.
Recover Python file-generation tasks when sandbox execution fails by saving a script and running it through the shell, a command interface. Use the workflow for PDFs, document file operations, dependency checks, and output verification.
Diagnose Python spreadsheet failures through staged checks of the interpreter, library imports, file access, and basic operations. Minimal test scripts help separate environment problems from errors in the full processing script.
Investigate unclear errors in Python PDF generation by displaying output immediately and inspecting error details. Use the resulting traceback, a record of where execution failed, to identify missing dependencies, font problems, or invalid file paths.
Read or create DOCX documents when standard file tools fail. This fallback extracts text from the document's internal XML and uses python-docx through shell commands to build new files with headings, paragraphs, and tables.
Run Python code through a saved script and shell when repeated sandbox failures point to environment problems. Captures execution output and checks exit codes and expected files to verify whether the task completed.
Provides AWS Lambda integration patterns for Python with cold start optimization. Use when deploying Python functions to AWS Lambda, choosing between AWS Chalice and raw Python approaches, optimizing cold starts, configuring API Gateway or ALB integration, or implementing serverless Python applications. Triggers include "create lambda python", "deploy python lambda", "chalice lambda aws", "python lambda cold start", "aws lambda python performance", "python serverless framework".
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