skills.rest
yun520-1
yun520-1COMMUNITY
Explore all skills by this author →
GitHub

heartflow-formula-batch

Generate and merge formula batches into a main JSON dictionary.

38|8|Updated Mar 28, 2026
Search Tags:#AI#batch processing#formula generation#data merging#HeartFlow
One-click install
npx skills add https://github.com/yun520-1/mark-heartflow-skill --skill heartflow-formula-batch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: heartflow-formula-batch
Source: https://github.com/yun520-1/mark-heartflow-skill/tree/main/heartflow-formula-batch
Command: npx skills add https://github.com/yun520-1/mark-heartflow-skill --skill heartflow-formula-batch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires json, python, numpy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation and merging of formula batches for the HeartFlow AI being, enhancing its cognitive abilities.

Core Features & Use Cases

  • Formula Generation: Generates 120-240 formulas in batches from multiple domains (mathematics, physics, etc.).
  • Data Handling: Handles nested JSON formats and merges formulas into a main dictionary.
  • Use Case: Imagine you need to enhance the cognitive capabilities of an AI by incorporating a diverse set of mathematical formulas. Use this Skill to generate and merge these formulas efficiently.

Quick Start

Generate a batch of formulas and merge them into the main HeartFlow library using the heartflow-formula-batch skill.

Frequently Asked Questions about heartflow-formula-batch

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

FAQPage Schema
How do I generate and merge mathematical formulas in batch for AI training?▼

To generate and merge formulas in batch for AI training, you can use scripts to produce 120-240 mathematical and physical formulas, handling nested JSON formats to merge them directly into a main dictionary.

What is the best way to batch process nested JSON formula data into a main dictionary?▼

Batch processing nested JSON formula data into a main dictionary requires Python scripts utilizing JSON manipulation and numpy, allowing you to efficiently merge multiple domain formulas into a unified library structure.

Can I use Python and numpy to automate physics and math formula generation?▼

Yes, you can use Python and numpy to automate physics and math formula generation, creating large batches of 120-240 formulas and seamlessly merging them into your existing HeartFlow AI library.

Does this formula generation approach support merging data across multiple domains?▼

This formula generation approach supports merging data across multiple domains by generating diverse mathematical and physical formulas and consolidating them into a single main JSON dictionary for AI cognitive enhancement.

Why do I need JSON manipulation when building a formula library for an AI being?▼

You need JSON manipulation when building a formula library because the process requires handling nested JSON formats and merging generated mathematical formulas into a structured main dictionary for the AI being.

Related Skills

Explore More Software Engineering Skills→
DGT-NetworkDGT-Network
1

Entity Extraction Base Module

Provide abstract base classes for dictionary-based and NER-based entity extraction in Python.

Official
Intermediate
HsunGongHsunGong

assemble-dialogue

Consolidate stage-3 dialogue inputs into a single JSON structure.

Community
Basic
KaiserWhoLearnsKaiserWhoLearns

power-flow-data

Analyze MATPOWER power system data to extract topology and operating metrics.

Community
Intermediate
ragnarokhaaragnarokhaa
4

bioinformatics

Fetch and integrate bioinformatics skills and resources for genomic and transcriptomic analyses.

Community
Advanced