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budget-run

Automates BudgetAgent budget layer task creation from signal layer results using Python.

33|2|Updated May 13, 2026
Search Tags:#task automation#budgeting#data organization#asset management#signal layer
One-click install
npx skills add https://github.com/adennng/stock_strategy_lab --skill budget-run
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: budget-run
Source: https://github.com/adennng/stock_strategy_lab/tree/main/src/strategy_lab/skills/budget_agent/budget-run
Command: npx skills add https://github.com/adennng/stock_strategy_lab --skill budget-run

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation of budget layer tasks for the BudgetAgent, simplifying the process of budgeting and allocation in asset management.

Core Features & Use Cases

  • Automated Task Creation: Automatically creates budget layer tasks based on signal layer results.
  • Signal Layer Integration: Integrates with signal layer results to inform budgeting decisions.
  • Data Management: Manages data from signal layer runs and organizes it for budgeting analysis.
  • Use Case: For instance, you can use this Skill to create a budget layer task for an asset pool based on completed signal layer runs, which then provides the necessary data and strategies for budgeting.

Quick Start

Use the budget-run skill to create a budget layer task for the 'sector_etf_pool' using the signal runs from 'artifacts/signal_runs' with a start date of '2015-01-01' and an end date of '2024-12-31'.

Frequently Asked Questions about budget-run

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

FAQPage Schema
How do I automate budget layer task creation for asset management?▼

Automating budget layer task creation involves using a script to extract data from completed signal layer runs and generate structured tasks for asset budgeting. This Skill handles the data organization and task generation automatically based on your signal results.

What is signal layer integration for asset budgeting?▼

Signal layer integration is the process of using completed signal run data to inform budgeting decisions. This Skill extracts data from signal layer runs and organizes it to create budget layer tasks for asset pools like sector ETFs.

Do I need Python to run budget layer task automation scripts?▼

Yes, you need Python installed to execute and manage the budget layer task automation scripts. The Skill relies on Python for data extraction, organization, and task generation processes.

How do I create a budget layer task using signal layer run data?▼

To create a budget layer task, provide the asset pool name, point to the signal runs directory, and specify the start and end dates. The Skill extracts the signal data and organizes it to generate the corresponding budget task.

What's the best way to organize signal layer data for budgeting analysis?▼

The best way to organize signal layer data for budgeting is to automate the extraction and structuring of run artifacts. This Skill manages data from signal layer runs and prepares it specifically for asset budgeting analysis.

Can I use budget-run for a sector ETF pool with custom date ranges?▼

Yes, you can create budget layer tasks for a sector ETF pool using custom start and end dates. The Skill processes the signal layer runs within your specified timeframe to generate budgeting strategies.

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