Results for “linux-kernel”

Use a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.

Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.

Linear: manage issues, projects, teams via GraphQL + curl.

Manage Linear issues, projects, and teams via the GraphQL API. Create, update, search, and organize issues. Uses API key auth (no OAuth needed). All operations via curl — no dependencies.

Makes raw HTTP requests to the Claude API using cURL, covering messages, streaming, tool use, and extended thinking.

Clean and package the project for distribution. Removes __pycache__, .venv, build artifacts, data caches, logs, IDE files, coverage reports, and sanitizes API keys in config. Produces a minimal, ready-to-share codebase. Use when user says 'package', 'clean project', 'clean up', '打包', '清理项目', '清理缓存', 'prepare for distribution', 'remove caches', or wants to deliver a clean copy of the code.