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Prp Diagram

CommunityPopular
Wirasm
prp-diagram

Generate a mermaid-only visual supplement for a plan artifact - the data-model, architecture, and flow diagrams a human wants when absorbing a plan. Use when the user wants to "diagram this plan", "visualize the plan", "draw the plan's architecture", "make diagrams for this plan", or invokes /prp-diagram.

Overview

PublisherWirasm
Repositoryprp
Skill nameprp-diagram
Stars
2.2K
Forks
607
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 Wirasm on GitHub. Read the source before you install it.

Installation

Install the Prp 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.
  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/Wirasm/prp.git /tmp/prp
mkdir -p .claude/skills
cp -r /tmp/prp/plugins/prp-core/skills/prp-diagram .claude/skills/prp-diagram
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prp 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 Prp 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 Prp 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.

PRP Diagram — Visual Supplement for a Plan

Input: $ARGUMENTS — a path to a plan/PRD markdown file. If blank, use the most recent file in $PRP_DIR/plans/.

One agent, one pass, no subagents. Read the plan, produce the diagrams a human wants beside it while absorbing it. Nothing else.

Resolve the store

bash
# --- PRP store resolver (canonical; keep byte-identical across skills) ---
# Adopt the store that already records this root; mint a key only when none does.
_gd="$(git rev-parse --path-format=absolute --git-common-dir 2>/dev/null)"
case "$_gd" in */.git) _root="${_gd%/.git}" ;; "") _root="$PWD" ;; *) _root="$_gd" ;; esac
_root="$(cd "$_root" && pwd -P)"
_name="$(basename "$_root" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/^-*//;s/-*$//')"
_home="${PRP_HOME:-$HOME/.prp}"
_hit="$(grep -lsF "\"path\": \"$_root\"" "$_home"/*/project.json 2>/dev/null | head -1)"
PRP_DIR="${_hit%/project.json}"
[ -n "$PRP_DIR" ] || PRP_DIR="$_home/${_name:-project}-$(printf %s "$_root" | git hash-object --stdin | cut -c1-8)"
mkdir -p "$PRP_DIR"; [ -f "$PRP_DIR/project.json" ] || printf '{"path": "%s", "name": "%s"}\n' "$_root" "${_name:-project}" > "$PRP_DIR/project.json"

Output path

<plan-basename>.diagrams.md — strip the plan filename's trailing .md, append .diagrams.md.

  • Plan lives inside $PRP_DIR → write NEXT TO it (same directory).
  • Plan lives anywhere else → write to $PRP_DIR/plans/ (mkdir -p "$PRP_DIR/plans").

Overwrite on re-run without asking — this is a derived artifact; the plan is the source of truth.

Content policy (strict)

The file contains ONLY:

  1. A single title line: # <plan title> — Diagrams
  2. Per diagram: one bold caption line (**<what this shows>**), then one ```mermaid fence.

No prose paragraphs, no recommendations, no analysis, no legend sections. Diagrams supplement the plan — they never editorialize it.

Choosing diagrams

Diagram only what the plan actually contains — never invent entities, flows, or states the plan doesn't describe. Skip any category the plan doesn't support.

Plan contentDiagram type
Data-model changes (tables, entities, types, relations)erDiagram or classDiagram
Architecture/component changesflowchart — before/after subgraphs when the plan describes both states
Key flows (request paths, pipelines, interactions)sequenceDiagram
Lifecycle/state rulesstateDiagram-v2

Keep each diagram legible: ~40 nodes max — split into two diagrams rather than cram one. Mermaid syntax must be valid: prefer simple constructs over clever ones, and quote labels containing special characters (A["label (with) specials"]).

HTML alternative

Only when the user explicitly asks for .html: write a single self-contained html file at the same path with .diagrams.html instead. Same content policy — a title, then per diagram a caption and a <pre class="mermaid"> block. Do NOT embed or link mermaid.js (no CDN, no scripts) — the consuming UI provides the renderer; add an html comment noting that.

Report

One line to the user: the expanded absolute output path plus which diagram types were produced.

Frequently asked questions

What does the Prp Diagram AI skill do?

Generate a mermaid-only visual supplement for a plan artifact - the data-model, architecture, and flow diagrams a human wants when absorbing a plan. Use when the user wants to "diagram this plan", "visualize the plan", "draw the plan's architecture", "make diagrams for this plan", or invokes /prp-diagram.

Why use Prp Diagram on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wirasm/prp/tree/development/plugins/prp-core/skills/prp-diagram. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Prp 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 Prp Diagram?

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

Is the Prp Diagram AI skill free?

Yes. It is published on GitHub by Wirasm 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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