القائمة
Use Scalene when a Python agent, tool server, or retrieval pipeline needs line-level CPU, GPU, and memory profiling before targeted optimization.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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Use Claude Legal Skill to guide an agent through contract risk review, CUAD-style clause checks, market benchmarks, and lawyer-ready redline suggestions.
Use SWE-ReX when a coding agent needs a consistent runtime interface for local, containerized, or remote shell sessions with command output, exit codes, interactive tools, and parallel execution.
Use Text Extract API when an agent needs to turn PDFs, Office files, or images into Markdown or structured JSON with local OCR, optional Ollama models, PII removal, and queued batch processing.
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.
| name | Profile Python agent workloads with Scalene |
| slug | profile-python-agent-workloads-with-scalene |
| description | Use Scalene when a Python agent, tool server, or retrieval pipeline needs line-level CPU, GPU, and memory profiling before targeted optimization. |
| github_stars | 13455 |
| verification | security_reviewed |
| source | https://github.com/plasma-umass/scalene |
| author | plasma-umass |
| publisher_type | open_source |
| category | Code Quality & Review |
| framework | Multi-Framework |
| tool_ecosystem | {"github_repo":"plasma-umass/scalene","github_stars":13455} |
Use Scalene when a Python agent, tool server, or retrieval pipeline needs line-level CPU, GPU, and memory profiling before targeted optimization.
Python project or script that reproduces the workload; Scalene CLI; local or staging permission to run profiling
Use the upstream install or setup path that matches your environment:
Requirements and caveats from upstream:
Basic usage or getting-started notes:
python3 -m pip install -U scalene
Extracted from upstream docs: https://raw.githubusercontent.com/plasma-umass/scalene/HEAD/README.md
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