tda-resource-preflight

Benchmark resource requirements and select execution strategies for stochastic computations.

1|Updated Dec 13, 2025

Search Tags:#benchmarking #resource management #pre-flight check #resource planning #stochastic computation

Ready to run

npx skills add https://github.com/stephendor/TDL --skill tda-resource-preflight

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tda-resource-preflight
Source: https://github.com/stephendor/TDL/tree/main/.agents/skills/tda-resource-preflight
Command: npx skills add https://github.com/stephendor/TDL --skill tda-resource-preflight

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps prevent over-provisioning and under-provisioning of resources for long-running, stochastic computations, by providing a pre-flight check for resource needs.

Core Features & Use Cases

Resource Benchmarking: Provides benchmarks for the real statistic before execution to estimate wall time.
Constraint Analysis: Applies known repository constraints like memory and GIL considerations.
Strategy Selection: Offers guidance on the best strategy for execution (e.g., serial, joblib-loky, multiprocessing).
Pre-flight Record: Generates a pre-flight record with all necessary information for a defensible launch.

Quick Start

Run the tda-resource-preflight skill with the command 'tda-resource-preflight my_script.py'.

Frequently Asked Questions about tda-resource-preflight

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I estimate resource requirements for long-running stochastic computations before execution?▼

A pre-flight check evaluates resource requirements for stochastic computations by benchmarking wall time, analyzing constraints like memory and GIL, and recommending an execution strategy to prevent over-provisioning or under-provisioning.

What is resource benchmarking for stochastic computations and when do I need it?▼

Resource benchmarking for stochastic computations estimates wall time by measuring the real statistic before execution. You need it when preparing long-running tasks to ensure resource requirements are met and launches are defensible.

How do I choose between serial, joblib-loky, and multiprocessing strategies for resource-intensive tasks?▼

Pre-flight strategy selection evaluates your computation's resource constraints, including GIL considerations and memory limits, to recommend serial, joblib-loky, or multiprocessing execution for optimal resource utilization.

Do I need Python to run pre-flight resource checks for long-running computations?▼

Yes, Python is required for execution and analysis when running pre-flight resource checks. The skill evaluates resource requirements and generates a pre-flight record using Python-based benchmarking and constraint analysis.

Why does my long-running computation over-provision or under-provision resources?▼

Over-provisioning and under-provisioning occur when resource requirements aren't evaluated before execution. A pre-flight check applies known repository constraints and benchmarks to match resource allocation with actual stochastic computation needs.

What's the best way to prevent resource bottlenecks in stochastic computation launches?▼

The best way to prevent resource bottlenecks is generating a pre-flight record that benchmarks resource needs, analyzes constraints like memory and GIL, and selects an execution strategy, ensuring a defensible launch for resource-intensive tasks.