Exstruct Cli

Community

harumiWeb

exstruct-cli

Use ExStruct CLI to validate, inspect, create, and edit Excel workbooks safely. Trigger when an agent needs `exstruct patch`, `exstruct make`, `exstruct validate`, `exstruct ops list`, or `exstruct ops describe`, especially for create-vs-edit decisions, dry-run workflows, backend constraints, or safe workbook-edit guidance.

Overview

Publisher	harumiWeb
Repository	`exstruct`
Skill name	`exstruct-cli`
Stars	204
Forks	31
Bundled files	6
License	BSD-3-Clause
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.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by harumiWeb on GitHub. Read the source before you install it.

Installation

Install the Exstruct Cli 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/harumiWeb/exstruct/tree/main/.agents/skills/exstruct-cli
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/harumiWeb/exstruct.git /tmp/exstruct
mkdir -p .claude/skills
cp -r /tmp/exstruct/.agents/skills/exstruct-cli .claude/skills/exstruct-cli

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

Use it in TypingMind

Enable Exstruct Cli 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 Exstruct Cli 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 Exstruct Cli 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.

ExStruct CLI

Use the existing editing CLI as the default local operational interface for ExStruct workbook create/edit requests.

Select a command

Use exstruct make when the user wants a new workbook created and populated.
Use exstruct patch when the user wants an existing workbook edited.
Use exstruct validate when workbook readability is uncertain or before a risky edit on an unfamiliar file.
Use exstruct ops list when the required operation is still unclear.
Use exstruct ops describe <op> when you know the likely op name but need the exact schema or constraints.
Hand the workflow off to MCP when the user needs host-owned path policy, transport mapping, artifact mirroring, or other server-managed behavior.

Safety rules

Do not invent unsupported patch ops.
Do not apply destructive edits immediately when the request is ambiguous.
Prefer --dry-run before risky edits.
Pin --backend openpyxl when the dry run and the real apply must use the same engine.
Explain backend-specific failures directly instead of hiding them behind a generic retry.

Workflow

Decide whether the request is create, edit, or actually an MCP-hosted task.
Identify the needed op or inspect the public op schema.
Validate the workbook when the file, backend, or request is uncertain.
Run --dry-run for risky edits and inspect PatchResult.
Apply the real edit only after the planned change is acceptable.
Verify the result with the lightest step that still matches the user's risk.

References

references/command-selection.md
references/safe-editing.md
references/ops-guidance.md
references/verify-workflows.md
references/backend-constraints.md

Bundled files

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

Frequently asked questions

What does the Exstruct Cli AI skill do?

Why use Exstruct Cli on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/harumiWeb/exstruct/tree/main/.agents/skills/exstruct-cli. 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 Exstruct Cli?

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 Exstruct Cli?

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

Is the Exstruct Cli AI skill free?

Yes. It is published on GitHub by harumiWeb under the BSD-3-Clause 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

ExStruct CLI

Select a command

Safety rules

Workflow

References

Bundled files

Frequently asked questions

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