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New Diagram

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pedrohcgs
new-diagram

Scaffold a new TikZ diagram from the snippet gallery with prevention rules pre-applied (explicit node dimensions, coordinate map, directional edge labels). Compiles standalone, invokes tikz-reviewer with citations from tikz-measurement.md, and loops on revisions until APPROVED.

Overview

Publisherpedrohcgs
Repositoryclaude-code-my-workflow
Skill namenew-diagram
Stars
1.6K
Forks
3.1K
Bundled files
Instructions only
LicenseMIT
Links
  • 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 pedrohcgs on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/new-diagram
  4. 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.
2

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/pedrohcgs/claude-code-my-workflow.git /tmp/claude-code-my-workflow
mkdir -p .claude/skills
cp -r /tmp/claude-code-my-workflow/.claude/skills/new-diagram .claude/skills/new-diagram
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable New Diagram 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 New Diagram 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 New Diagram 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.

Create a New TikZ Diagram

Scaffold a diagram from templates/tikz-snippets/, check it against the prevention rules, compile standalone, run the reviewer with measurement citations, and loop until the diagram passes. Use this instead of writing TikZ from scratch; the snippets embed the invariants that tikz-prevention.md requires.

Inputs

  • $0 (optional) — snippet name (without .tex). One of the filenames in templates/tikz-snippets/. If omitted, list the gallery and ask the user to pick.
  • $1 (optional) — output path. Defaults to Figures/new_diagram.tex — ask the user if this target exists so we don't clobber.

Workflow

Step 1: Pick a snippet

bash
ls -1 templates/tikz-snippets/*.tex

Current gallery (see templates/tikz-snippets/README.md for descriptions):

  • dag-basic — 3-node causal DAG (X → Y with confounder U)
  • dag-mediation — X → M → Y with direct path
  • did-two-period — two-period difference-in-differences
  • event-study — event-time coefficients with 95% CIs
  • timeline — horizontal timeline with staggered events
  • regression-scatter — scatter + OLS fit + confidence band
  • flowchart-3step — vertical flow with decision diamond
  • supply-demand — supply/demand with shifted demand

If $0 is not one of these, or is omitted, ask the user which to use.

Step 2: Copy the snippet to the output path

bash
SRC="templates/tikz-snippets/$0.tex"
DST="${1:-Figures/new_diagram.tex}"

# Confirm before overwriting
if [ -f "$DST" ]; then
  echo "Output path already exists: $DST"
  # Ask the user whether to overwrite. Do NOT clobber silently.
fi

mkdir -p "$(dirname "$DST")"
cp "$SRC" "$DST"

Step 3: Edit the content to fit the user's intent

Ask the user what the diagram should show. Edit $DST with the Edit tool:

  1. Update the comment block at the top so the intent sentence matches the user's goal.
  2. Update the coordinate map comment if coordinates change.
  3. Rename nodes and edit labels. Keep node style (dag-node, flow-node, etc.) unless the meaning actually changes.
  4. Do not add a bare scale=X to the tikzpicture options. Coordinates shrink, text does not — collisions follow. Allowed forms: scale=X, every node/.style={scale=X} or scale=X, transform shape. See tikz-prevention.md P3 for the full rule and tikz-visual-quality.md for the scale=1.1 convention.
  5. Every new edge label must carry a directional keyword (above, below, left, right, above left, etc.). midway alone is a path position, not a direction — P4 violation.

Step 4: Prevention pre-check (MANDATORY)

Run the same shared Python checker /extract-tikz uses — this is the one tool that enforces both P3 and P4 consistently across the two skills:

bash
python3 scripts/check-tikz-prevention.py "$DST"
  • Exit 0 → passed, continue.
  • Exit 1 → violations (stderr reports line, rule, snippet). Fix $DST and re-run until zero.
  • Exit 2 → usage error (missing file etc.).

Do NOT re-implement the grep inline. The Python checker correctly handles multi-line \begin{tikzpicture}[...] options and multi-line \draw ... node {...} spans that a line-oriented grep cannot see.

Step 5: Standalone compile

All snippets are \documentclass[border=4pt]{standalone} so they compile without a Beamer frame and without Preambles/header.tex:

bash
cd "$(dirname "$DST")"
xelatex -interaction=nonstopmode "$(basename "$DST")" > /tmp/tikz-compile.log 2>&1

Check exit code and *.pdf file size. If compile fails, read /tmp/tikz-compile.log and fix the .tex source.

Step 6: Visual review via tikz-reviewer

Spawn the tikz-reviewer agent with Task (subagent_type=tikz-reviewer). Pass the .tex source and the compiled .pdf path. The reviewer is now required to cite the pass and formula from tikz-measurement.md for every CRITICAL/MAJOR finding — vague reports are rejected.

Loop:

  1. If APPROVED → go to Step 7.
  2. If NEEDS REVISION or REJECTED → apply fixes to $DST, re-run Step 4 (prevention pre-check), re-compile (Step 5), re-invoke reviewer.

Max 5 rounds. If after 5 rounds the reviewer is still reporting CRITICAL issues, surface the situation to the user — the snippet or the requested content may need redesign, not just tweaking.

Step 7: Optional — convert to SVG for Quarto

If the user plans to use the diagram in Quarto slides (not just Beamer), convert the compiled PDF to SVG:

bash
pdf2svg "${DST%.tex}.pdf" "${DST%.tex}.svg" 1

Snippet-based diagrams are single-page, so a single .svg with the same basename as .tex is correct here. This differs from /extract-tikz, which produces a multi-page PDF from a Figures/LectureN/extract_tikz.tex master and names outputs tikz_exact_00.svg, tikz_exact_01.svg, ... (0-based filenames over 1-indexed PDF pages). If you need multi-page output for slide-by-slide reveals, use /extract-tikz instead.

Step 8: Clean up build artifacts

bash
cd "$(dirname "$DST")"
rm -f *.aux *.log *.out *.synctex.gz

Leave the .pdf and .svg (if generated). They're what downstream tools use.

Step 9: Report

Print a summary:

  • Snippet used → output path
  • Reviewer verdict and number of rounds
  • .pdf size and page count
  • .svg path if generated
  • Reminder to \input or \includegraphics the diagram in the target Beamer/Quarto file

Why start from a snippet?

Writing TikZ from scratch reliably produces collisions because the author cannot visually estimate where curves and labels will land. The snippets embed the invariants that tikz-prevention.md requires — coordinate maps, explicit node dimensions, directional edge labels — so the diagram passes the prevention pre-check by construction. You can always deviate from the snippet; the rules still apply.

Cross-references

Frequently asked questions

What does the New Diagram AI skill do?

Scaffold a new TikZ diagram from the snippet gallery with prevention rules pre-applied (explicit node dimensions, coordinate map, directional edge labels). Compiles standalone, invokes tikz-reviewer with citations from tikz-measurement.md, and loops on revisions until APPROVED.

Why use New Diagram on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/new-diagram. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use New Diagram?

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 New Diagram?

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

Is the New Diagram AI skill free?

Yes. It is published on GitHub by pedrohcgs 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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