Evo Demand Shock

Community

Zhang-Henry

evo-demand-shock

Build a demand-side macroeconomic investment shock analysis workbook for a small open economy. Fetches IMF WEO data and country supply-use tables, calculates import content share, and produces multi-scenario Excel output with formulas.

Overview

Publisher	Zhang-Henry
Repository	`CoEvoSkills`
Skill name	`evo-demand-shock`
Stars	83
Forks	9
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Zhang-Henry on GitHub. Read the source before you install it.

Installation

Install the Evo Demand Shock AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/shock-analysis-demand/evo-demand-shock
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/shock-analysis-demand/evo-demand-shock

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkills.git /tmp/CoEvoSkills
mkdir -p .claude/skills
cp -r /tmp/CoEvoSkills/artifacts/skills/shock-analysis-demand/evo-demand-shock .claude/skills/evo-demand-shock

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evo Demand Shock in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Evo Demand Shock on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Evo Demand Shock is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Demand-Side Macro Shock Analysis Skill

This skill builds an Excel workbook that analyzes the GDP impact of a large investment spending shock on a small open economy using the demand-side macro accounting framework.

Workflow

Data Collection: Fetch IMF WEO data (real GDP growth, nominal GDP) and download Supply-Use Tables from the country statistics office (geostat.ge for Georgia). Also download GDP data files from geostat.
WEO_Data Sheet: Populate with real GDP growth rates, nominal GDP, real GDP, GDP deflator index, and deflator growth. Extend projections using the 2027 growth rate as fixed anchor and average recent-4-year deflator growth.
SUT Sheets: Copy SUPPLY and USE (38-38) sheets from the downloaded SUT file into the workbook.
SUT Calc Sheet: Link construction-industry data from the SUT sheets to calculate the estimated import content share for construction.
NA Sheet: Build three scenario tables:
- Scenario 1: Demand multiplier = 0.8 (small open economy default)
- Scenario 2: Demand multiplier = 1.0
- Scenario 3: Import content share = 0.5
Each scenario uses bell-shaped project allocation over 8 years, converts USD investment to GEL, and calculates GDP impact with formulas.

Entry Point

python
import sys
sys.path.insert(0, '/app/environment/skills/evo-demand-shock/scripts')
from utils import build_complete_workbook, validate_workbook

# Build the complete workbook
output_path = '/root/test_demand.xlsx'
build_complete_workbook(output_path)

# Validate
validate_workbook(output_path)

Key Functions

fetch_imf_weo_data(country_code) - Fetch WEO indicators from IMF API
download_sut_file(url, output_path) - Download SUT Excel file
download_geostat_gdp_files(output_dir) - Download GDP data from geostat.ge
extract_geostat_annual_gdp(file, label) - Extract annual GDP values
find_latest_sut_url() - Find latest SUT file URL on geostat.ge
copy_sut_sheet(src_wb, src_name, tgt_wb, tgt_name) - Copy sheet between workbooks
build_weo_data_sheet(wb, weo_data, geostat_data) - Build WEO_Data sheet
build_sut_calc_sheet(wb, supply_name, use_name) - Build SUT Calc sheet
build_na_sheet(wb, ...) - Build NA scenario table
build_complete_workbook(output_path, ...) - End-to-end orchestration
validate_workbook(path) - Check workbook structure and completeness
bell_shape_allocation(n_years) - Generate bell-shaped allocation profile

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/__init__.py1 KB
scripts/utils.py22 KB

Frequently asked questions

What does the Evo Demand Shock AI skill do?

Why use Evo Demand Shock on TypingMind?

Because you install it once and use it with any model. Evo Demand Shock is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Evo Demand Shock in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Zhang-Henry/CoEvoSkills/tree/main/artifacts/skills/shock-analysis-demand/evo-demand-shock. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Evo Demand Shock?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Evo Demand Shock?

As many as you like. As long as a model supports skills, you can use Evo Demand Shock with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Evo Demand Shock AI skill free?

Yes. It is published on GitHub by Zhang-Henry under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Demand-Side Macro Shock Analysis Skill

Workflow

Entry Point

Key Functions

Bundled files

Frequently asked questions

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