Archify Diagrams
tt-a1i/archify
Creates interactive architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone HTML with inline SVG, themes and image or video export.
A skill your agent uses when the user wants to explain or visualize a codebase on a Miro board — produces a minimal, notation-correct set of architecture / structure / behavior diagrams (flowchart…
$ npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install miroapp/miro-ai miro-code-explain-on-board --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/miroapp/miro-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/miro-code-explain-on-board .claude/skills/miro-code-explain-on-board && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "miro-code-explain-on-board" agent skill from https://github.com/miroapp/miro-ai/tree/main/skills/miro-code-explain-on-board into .claude/skills/miro-code-explain-on-board/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miro-code-explain-on-board", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/miroapp/miro-ai/tree/main/skills/miro-code-explain-on-boardType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install miroapp/miro-ai miro-code-explain-on-board --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/miroapp/miro-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/miro-code-explain-on-board .agents/skills/miro-code-explain-on-board && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "miro-code-explain-on-board" agent skill from https://github.com/miroapp/miro-ai/tree/main/skills/miro-code-explain-on-board into .agents/skills/miro-code-explain-on-board/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miro-code-explain-on-board", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install miroapp/miro-ai miro-code-explain-on-board --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/miroapp/miro-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/miro-code-explain-on-board .cursor/skills/miro-code-explain-on-board && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "miro-code-explain-on-board" agent skill from https://github.com/miroapp/miro-ai/tree/main/skills/miro-code-explain-on-board into .cursor/skills/miro-code-explain-on-board/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miro-code-explain-on-board", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/miroapp/miro-ai.git --path skills/miro-code-explain-on-board--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install miroapp/miro-ai miro-code-explain-on-board --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/miroapp/miro-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/miro-code-explain-on-board .gemini/skills/miro-code-explain-on-board && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "miro-code-explain-on-board" agent skill from https://github.com/miroapp/miro-ai/tree/main/skills/miro-code-explain-on-board into .gemini/skills/miro-code-explain-on-board/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miro-code-explain-on-board", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install miroapp/miro-ai miro-code-explain-on-boardInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/miroapp/miro-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/miro-code-explain-on-board .github/skills/miro-code-explain-on-board && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "miro-code-explain-on-board" agent skill from https://github.com/miroapp/miro-ai/tree/main/skills/miro-code-explain-on-board into .github/skills/miro-code-explain-on-board/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miro-code-explain-on-board", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install miroapp/miro-ai miro-code-explain-on-board --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/miroapp/miro-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/miro-code-explain-on-board .opencode/skills/miro-code-explain-on-board && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "miro-code-explain-on-board" agent skill from https://github.com/miroapp/miro-ai/tree/main/skills/miro-code-explain-on-board into .opencode/skills/miro-code-explain-on-board/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "miro-code-explain-on-board", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
miro-code-explain-on-boardA skill your agent uses when the user wants to explain or visualize a codebase on a Miro board — produces a minimal, notation-correct set of architecture / structure / behavior diagrams (flowchart…
Miro Code Explain On Board is an agent skill from miroapp/miro-ai. Use when the user wants to explain or visualize a codebase on a Miro board — produces a minimal, notation-correct set of architecture / structure / behavior diagrams (flowchart, UML class, UML sequence, ERD) plus a short companion document, grounded in real repo artifacts.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/diagramming-principles.md`).
It sits in Development, covering Diagrams. The repository describes itself as: Official Miro AI developer tools and integrations. Includes MCP server configuration, Claude Code skills, and resources for building AI-powered experiences with Miro boards. The licence is MIT.
Read from SKILL.md and the folder at commit b6408e1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Miro Code Explain On Board loads about 2.4k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 1,294 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from miroapp/miro-ai at commit b6408e1, republished under its MIT licence (© miroapp). 1,294 words, ~2,425 tokens.
.claude/skills/miro-code-explain-on-board/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.You are a senior software engineer and visual architect. Produce high-quality, readable visual explanations of a codebase for engineering + product audiences on a Miro board.
Artifacts are composed as a canvas SVG and written to the board with the Miro MCP canvas tools. Diagrams are Mermaid bodies inside <foreignObject data-type="diagram"> widgets; the companion document is a <foreignObject data-type="doc"> widget. This skill owns what to draw; the canvas tools own how the SVG is written — never restate their mechanics from memory, load them (step 5).
Artifact-first: cite repo symbols (files / modules / types) only when known. Do NOT invent. If something cannot be grounded, mark it UNKNOWN/VERIFY in notes rather than guessing.
?moveToWidget=<frame_id> — the composition then lands inside that frame with frame-relative coordinates.Apply these throughout. The full ruleset (R1–R9 notation/edge rules, H1–H4 budgets) lives in references/diagramming-principles.md — read it before drafting. The essentials:
UNKNOWN + add a verify note.Identify, as available:
Keep candidate views separate (R1).
Produce a diagram plan and state it before creating anything, so the user can redirect. For each diagram:
Keep it the minimal set that conveys core understanding (R2/R5); prefer several small diagrams over one mega-diagram (R7).
Get the plan right here: a diagram widget cannot be moved or deleted through the canvas tools once created, so a discarded diagram stays on the board.
Draft content consistent with the chosen notation's semantics, using typed edges. Add UNKNOWN/VERIFY notes where needed. Do not write Mermaid yet.
UNKNOWN.--> = compile-time dependency"); keep labels only where they add object-level meaning ("imports types", "imports UI components"). Containment is a cluster/subgraph or note — never a "contains" edge.id[Label]. Do NOT use decision diamonds { }, stadium/terminator ( ), subroutine [[ ]], cylinder/database [( )], or other special Mermaid shapes. Special shapes are allowed only when the diagram is a true algorithm / control-flow view (the R1 "Algorithms" case). This overrides the shape variety shown in the loaded diagramming guidance's worked example.Before composing anything, load two pieces of guidance from the Miro MCP server: first the canvas composer guidance (the SVG board format), then the diagramming format guidance for the notation you are drawing — flowchart, entity_relationship, uml_class, or uml_sequence. Load the composer guidance once per conversation, and the diagramming guidance once per distinct notation in your plan, reused across every diagram of that type. Both tools state their own prerequisites and ordering; follow what they say.
The loaded guidance is authoritative for Mermaid escaping, color contract, and widget mechanics. Follow it over anything remembered: in particular, arrows inside a diagram body are XML-escaped (-->, not -->), and a raw &, <, or > anywhere in the SVG fails the whole request.
Compile the already-final drafts from step 3 into valid Mermaid (target Mermaid 10 syntax). Do not change diagram intent during compilation. Apply the guidance's coloring conventions to aid the 5-second scan.
Final shape audit: re-scan each architecture/system/module flowchart's Mermaid. If it contains any non-rectangle shape syntax ({ }, ( ), [[ ]], [( )], > ], etc.) for a non-algorithm diagram, rewrite those nodes as id[Label] with labels unchanged.
Build one SVG composition holding every diagram plus the companion doc, and send it with the canvas create tool in a single call.
<foreignObject data-type="diagram"> per diagram, with data-title set to the title from the plan and the compiled Mermaid as the body.Then run the reflow loop the composer guidance requires: when the response reports changed dimensions, inspect those widgets in result_svg and reposition the affected widgets with the canvas update tool until spacing is clean. Iterate from the latest result_svg — edit it in place and feed it back; never regenerate the SVG from scratch and never transcribe data-miro-id values from memory.
To revise a diagram after review, resend that widget with its data-miro-id and the new Mermaid body through the same update tool. A diagram widget can't be moved or deleted this way, and an unchanged one is skipped — so only resend a diagram whose source or title actually changed. Do not alter meaning when sending; if a diagram fails, report the error with the offending Mermaid as-is.
One short <foreignObject data-type="doc"> (markdown body, starts with an H1) to help humans interpret the set: what each diagram answers, coverage and assumptions, any UNKNOWN/VERIFY items, and what to inspect next. Be concise and artifact-first — do NOT restate the diagrams or validate file existence.
Make the index of diagrams real deep-links rather than dead text: once the diagrams have data-miro-ids in result_svg, link each title as <board-url>?moveToWidget=<data-miro-id> so a reader can jump straight to it. That needs the ids, so write the doc body in the create call with the titles as plain text, then patch in the links on the following update call.
Report in chat:
moveToWidget was provided).UNKNOWN/VERIFY assumptions worth confirming.references/diagramming-principles.md — the full R1–R9 / H1–H4 ruleset. Read before drafting (step 3).© miroapp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/miro-code-explain-on-board of miroapp/miro-ai.
Open the folder on GitHubat commit b6408e1
Miro Code Explain On Board next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Miro Code Explain On Board this skillmiroapp/miro-ai | 160 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Archify Diagramstt-a1i/archify | 79k | — | ~2.9k | Automated safety check: Pass | MIT | |
| JSON Canvasheyitsnoah/claudesidian | 2.6k | 18 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Diagram Designcathrynlavery/diagram-design | 45k | 1 repos | ~7.5k | Automated safety check: Pass | MIT | |
| Fireworks Tech Graphtisfeng/Easydict | 15k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Excalidraw Diagramcoleam00/excalidraw-diagram-skill | 5k | 2 repos | ~6.1k | Automated safety check: Pass | None |
tt-a1i/archify
Creates interactive architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone HTML with inline SVG, themes and image or video export.
heyitsnoah/claudesidian
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections.
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
tisfeng/Easydict
Create precise SVG technical diagrams, export PNG or offline HTML, and animate supported semantic SVGs to GIF.
coleam00/excalidraw-diagram-skill
Create Excalidraw diagram JSON files that make visual arguments.
Agents365-ai/drawio-skill
Creates and edits editable draw.io diagrams from descriptions, code, infrastructure files, SQL and API schemas, with sync, review, test and export tools.
miroapp/miro-ai
Documentation architecture for this repository. An agent skill from miroapp/miro-ai.
miroapp/miro-ai
A skill your agent uses when the user wants to extract a Miro board's specs (documents, diagrams, prototypes, tables, frames, images) to local .miro/specs/ files for AI-assisted planning and…
miroapp/miro-ai
A skill your agent uses when the user wants to create a visual code review on a Miro board from a pull/merge request (GitHub, GitLab, or any forge), local uncommitted changes, or a branch comparison…
miroapp/miro-ai
A skill your agent uses when authoring or revising plugin SKILL.md files in this repo.
Categories
A skill your agent uses when the user wants to explain or visualize a codebase on a Miro board — produces a minimal, notation-correct set of architecture / structure / behavior diagrams (flowchart…. Miro Code Explain On Board is an agent skill from miroapp/miro-ai. Use when the user wants to explain or visualize a codebase on a Miro board — produces a minimal, notation-correct set of architecture / structure / behavior diagrams (flowchart, UML class, UML sequence, ERD) plus a short companion document, grounded in real repo artifacts.
Miro Code Explain On Board fits situations like: the user wants to explain; visualize a codebase on a Miro board — produces a minimal; notation-correct set of architecture / structure / behavior diagrams (flowchart; ERD) plus a short companion document.
Run `npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a claude-code`. Or copy the skill folder (skills/miro-code-explain-on-board in miroapp/miro-ai) into .claude/skills/miro-code-explain-on-board in your project. Claude Code loads it when a task matches its description.
Run `npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a codex`. Or copy the skill folder (skills/miro-code-explain-on-board in miroapp/miro-ai) into .agents/skills/miro-code-explain-on-board in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add miroapp/miro-ai --skill miro-code-explain-on-board -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/miro-code-explain-on-board, .gemini/skills/miro-code-explain-on-board, .github/skills/miro-code-explain-on-board and .opencode/skills/miro-code-explain-on-board in your project.
SKILL.md names no scripts, command-line tools or credentials: Miro Code Explain On Board is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Miro Code Explain On Board is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Miro Code Explain On Board: Archify Diagrams (tt-a1i/archify, 79k stars), JSON Canvas (heyitsnoah/claudesidian, 2.6k stars), Diagram Design (cathrynlavery/diagram-design, 45k stars) and Fireworks Tech Graph (tisfeng/Easydict, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
miroapp (a GitHub organization) maintains it in miroapp/miro-ai, which has 160 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 17, 2026.
Source: miroapp/miro-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.