Figure Table Planner

CommunityPopular

zhnnky329

figure-table-planner

Plan the smallest set of diagnostic, comparison, paper, and appendix figures or tables needed to support verified mathematical-modeling decisions and claims.

Overview

Publisher	zhnnky329
Repository	`MathModeling-skills`
Skill name	`figure-table-planner`
Stars	1.1K
Forks	42
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 zhnnky329 on GitHub. Read the source before you install it.

Installation

Install the Figure Table Planner 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/zhnnky329/MathModeling-skills/tree/main/.claude/skills/figure-table-planner
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/zhnnky329/MathModeling-skills/tree/main/.claude/skills/figure-table-planner

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/zhnnky329/MathModeling-skills.git /tmp/MathModeling-skills
mkdir -p .claude/skills
cp -r /tmp/MathModeling-skills/.claude/skills/figure-table-planner .claude/skills/figure-table-planner

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

Use it in TypingMind

Enable Figure Table Planner 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 Figure Table Planner 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 Figure Table Planner 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.

Purpose

Make every visual evidence-bearing. Prefer fewer useful visuals over a decorative inventory.

Inputs

method card and decision ledger;
run summaries and final result analysis;
robustness evidence;
solution package and frozen numbers in submission mode;
existing figures/tables.

Figure Types

Type 1 diagnostic: internal debugging; never in the paper.
Type 2 comparison: main vs usable baseline or a genuinely tested alternative; optional in paper.
Type 3 paper: directly supports a main claim; required only when the claim benefits materially from a visual.
Type 4 appendix: supplementary evidence referenced from the main text.

Workflow

List verified claims that need visual or exact tabular support.
Reuse an existing artifact when it already communicates the claim.
For each proposed visual record:
- ID and Qx;
- type;
- source artifact and frozen claim IDs when applicable;
- one core claim;
- chart/table form;
- target section;
- status and render needs.
Ask the human to confirm judgment-bearing Type 3 claims through one compact choice card when they are not already in the decision ledger.
Save methods/Qx/qx_figure_table_plan.md only when durable planning is needed. In lean exploration, a compact in-conversation plan is sufficient.

Planning Heuristics

Use tables for exact values, parameters, and small comparisons.
Use plots for trends, distributions, sensitivity, or many-item comparisons.
Use diagrams for mechanisms, dependencies, and workflows.
A main-vs-baseline figure needs compatible metrics and the same evaluation setup.
Do not create a multi-method comparison merely to imply breadth.

Rules

Type 1 never enters the paper.
Type 3 uses final validated sources and a human-confirmed core claim.
Do not use unresolved exploratory figures as paper evidence.
Do not fabricate data, captions, or claims.
Do not fill plans with placeholder sentinels; pause for one human choice instead.
Every visual must have a source and purpose.

Verification

Each planned visual supports a verified claim.
Types, sources, sections, and statuses are explicit.
Type 3 claims trace to human decisions and frozen evidence.
No unnecessary or decorative visual remains.

Frequently asked questions

What does the Figure Table Planner AI skill do?

Plan the smallest set of diagnostic, comparison, paper, and appendix figures or tables needed to support verified mathematical-modeling decisions and claims.

Why use Figure Table Planner on TypingMind?

Because you install it once and use it with any model. Figure Table Planner 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 Figure Table Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/figure-table-planner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Figure Table Planner?

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 Figure Table Planner?

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

Is the Figure Table Planner AI skill free?

Yes. It is published on GitHub by zhnnky329 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

Purpose

Inputs

Figure Types

Workflow

Planning Heuristics

Rules

Verification

Frequently asked questions

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