Evo Lake Data Pipeline

Organization

OpenLAIR

evo-lake-data-pipeline

Loads, merges, and preprocesses lake water temperature and environmental driver CSV datasets. Provides category mapping for Heat/Flow/Wind/Human factor groups.

Overview

Publisher	OpenLAIR
Repository	`OpenSkill`
Skill name	`evo-lake-data-pipeline`
Stars	97
Forks	4
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by OpenLAIR on GitHub. Read the source before you install it.

Installation

Install the Evo Lake Data Pipeline 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/OpenLAIR/OpenSkill/tree/main/tasks-evolved/lake-warming-attribution/environment/skills/evo-lake-data-pipeline
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/OpenLAIR/OpenSkill/tree/main/tasks-evolved/lake-warming-attribution/environment/skills/evo-lake-data-pipeline

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/OpenLAIR/OpenSkill.git /tmp/OpenSkill
mkdir -p .claude/skills
cp -r /tmp/OpenSkill/tasks-evolved/lake-warming-attribution/environment/skills/evo-lake-data-pipeline .claude/skills/evo-lake-data-pipeline

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

Use it in TypingMind

Enable Evo Lake Data Pipeline 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 Lake Data Pipeline 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 Lake Data Pipeline 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.

evo-lake-data-pipeline

Loads and merges four CSV datasets (water_temperature, climate, land_cover, hydrology) into analysis-ready DataFrames.

Category Mapping

Category	Variables
Heat	AirTempLake, Shortwave, Longwave
Flow	Precip, Outflow, Inflow
Wind	WindSpeedLake
Human	DevelopedArea, AgricultureArea

Usage

python
import sys
sys.path.insert(0, '/app/environment/skills/evo-lake-data-pipeline/scripts')
from utils import load_all_datasets, merge_datasets, get_feature_columns, get_feature_columns_by_category, get_category_map

water_temp, climate, land_cover, hydrology = load_all_datasets('/root/data/')
merged = merge_datasets(water_temp, climate, land_cover, hydrology)
features = get_feature_columns()
cat_map = get_category_map()

Key Functions

load_all_datasets(data_dir) — loads all 4 CSVs, returns tuple of DataFrames
merge_datasets(wt, clim, lc, hydro) — inner-joins on Year column
get_feature_columns() — returns list of 9 predictor column names
get_feature_columns_by_category() — returns dict of category -> [features]
get_category_map() — returns dict of feature_name -> category_name

Import Pattern (avoiding naming conflicts)

When using multiple skills that each have utils.py, use importlib to avoid conflicts:

python
import importlib.util

def load_module(name, path):
    spec = importlib.util.spec_from_file_location(name, path)
    mod = importlib.util.module_from_spec(spec)
    spec.loader.exec_module(mod)
    return mod

data_utils = load_module('data_utils', '/app/environment/skills/evo-lake-data-pipeline/scripts/utils.py')
trend_utils = load_module('trend_utils', '/app/environment/skills/evo-lake-trend-analysis/scripts/utils.py')
factor_utils = load_module('factor_utils', '/app/environment/skills/evo-lake-factor-attribution/scripts/utils.py')

Bundled files

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

scripts/utils.py2 KB

Frequently asked questions

What does the Evo Lake Data Pipeline AI skill do?

Loads, merges, and preprocesses lake water temperature and environmental driver CSV datasets. Provides category mapping for Heat/Flow/Wind/Human factor groups.

Why use Evo Lake Data Pipeline on TypingMind?

Because you install it once and use it with any model. Evo Lake Data Pipeline 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 Lake Data Pipeline in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenLAIR/OpenSkill/tree/main/tasks-evolved/lake-warming-attribution/environment/skills/evo-lake-data-pipeline. 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 Lake Data Pipeline?

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 Lake Data Pipeline?

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

Is the Evo Lake Data Pipeline AI skill free?

Yes. It is published on GitHub by OpenLAIR 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

evo-lake-data-pipeline

Category Mapping

Usage

Key Functions

Import Pattern (avoiding naming conflicts)

Bundled files

Frequently asked questions

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