Geolime

Community

SteadfastAsArt

geolime

Assess and maintain licensed GeoLime geological or mining-model workflows, checking the installed vendor API, drillhole conventions and model validation. Use when a project explicitly uses GeoLime; the public PyPI placeholder does not provide a working modelling API.

Overview

Publisher	SteadfastAsArt
Repository	`geoscience-skills`
Skill name	`geolime`
Stars	75
Forks	9
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by SteadfastAsArt on GitHub. Read the source before you install it.

Installation

Install the Geolime 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/SteadfastAsArt/geoscience-skills/tree/main/geolime
Enable the skill in any chat where you want it available.

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/SteadfastAsArt/geoscience-skills.git /tmp/geoscience-skills
mkdir -p .claude/skills
cp -r /tmp/geoscience-skills/geolime .claude/skills/geolime

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

Use it in TypingMind

Enable Geolime 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 Geolime 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 Geolime 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.

GeoLime

Start by establishing which licensed distribution and version the project uses. The public PyPI geolime==1.4.0 wheel contains a license-contact message and no modelling API. pip install geolime alone does not establish an executable model environment. This skill provides a preparation and review workflow; its licensed modelling operations have not been executed in the repository's public tests.

Environment and API

Inspect project lock files, installed distribution metadata, local vendor docs and existing code before proposing imports. Use the vendor-provided environment or wheel only when the user already has access. Record its version and hash in the project; keep license files and credentials out of reports and source control. Do not invent class names from an unrelated release's examples.

If the functional package is unavailable, complete format/geometry QC and a reviewable model specification. State that execution remains unavailable. For an open-source implementation, assess GemPy or geostatistics tools against the actual required outputs; they are not drop-in GeoLime replacements.

Data and model contract

Keep collar, survey and interval tables linked by stable drillhole identifiers. Verify from/to depths, overlaps, gaps, units and survey-angle conventions.
Establish CRS, elevation datum, downhole versus vertical depth and survey desurveying method. Retain missing assays and detection limits distinctly.
Record compositing, domain boundaries, density assumptions and block dimensions before estimating grades, volumes or tonnage. Point samples and block support are not interchangeable.
Keep original assay values and transformation/back-transformation settings. Validate grade estimates with spatially separated drillholes and domain-aware residuals; random sample splits can leak adjacent intervals.

Validation and deliverables

Run the installed vendor's smallest documented example first, then validate a simple project-owned geometry with an independent volume calculation. Check block ordering and IDs in exports, domain coverage, mass/volume units and sensitivity to mesh/compositing choices. Label unrun code and unavailable methods explicitly.

Preserve the model specification, QC tables, executed API/version evidence and the distinction between calculated and assumed resources. Consult the vendor documentation and public placeholder source.

Frequently asked questions

What does the Geolime AI skill do?

Why use Geolime on TypingMind?

Because you install it once and use it with any model. Geolime 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 Geolime in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SteadfastAsArt/geoscience-skills/tree/main/geolime. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Geolime?

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 Geolime?

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

Is the Geolime AI skill free?

Yes. It is published on GitHub by SteadfastAsArt under the MIT 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

GeoLime

Environment and API

Data and model contract

Validation and deliverables

Frequently asked questions

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