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.
Generate, refine, validate, and render diagrams from natural language, notes, code, schemas, or existing diagram sources: flowcharts, swimlanes, attack-path graphs, data-flow diagrams, architecture…
Install Diagram Generator
$ npx skills add sickn33/agentic-awesome-skills --skill diagram-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills diagram-generator --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/diagram-generator .claude/skills/diagram-generator && 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 "diagram-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/diagram-generator into .claude/skills/diagram-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagram-generator", 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/sickn33/agentic-awesome-skills/tree/main/skills/diagram-generatorType 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 sickn33/agentic-awesome-skills --skill diagram-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills diagram-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/diagram-generator .agents/skills/diagram-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "diagram-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/diagram-generator into .agents/skills/diagram-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagram-generator", 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 sickn33/agentic-awesome-skills --skill diagram-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills diagram-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/diagram-generator .cursor/skills/diagram-generator && 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 "diagram-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/diagram-generator into .cursor/skills/diagram-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagram-generator", 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/sickn33/agentic-awesome-skills.git --path skills/diagram-generator--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 sickn33/agentic-awesome-skills --skill diagram-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills diagram-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/diagram-generator .gemini/skills/diagram-generator && 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 "diagram-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/diagram-generator into .gemini/skills/diagram-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagram-generator", 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 sickn33/agentic-awesome-skills diagram-generatorInstalls 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 sickn33/agentic-awesome-skills --skill diagram-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/diagram-generator .github/skills/diagram-generator && 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 "diagram-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/diagram-generator into .github/skills/diagram-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagram-generator", 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 sickn33/agentic-awesome-skills --skill diagram-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills diagram-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/diagram-generator .opencode/skills/diagram-generator && 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 "diagram-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/diagram-generator into .opencode/skills/diagram-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagram-generator", 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.
Facts
- Skill name
diagram-generator- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~2.3k tokens
- SKILL.md length
- 890 words
- Files
- 3 (incl. references)
- Skills in repo
- 1,497
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate, refine, validate, and render diagrams from natural language, notes, code, schemas, or existing diagram sources: flowcharts, swimlanes, attack-path graphs, data-flow diagrams, architecture…
- Works in 6 steps: Identify the user's intent, audience,… → Choose the diagram family and language… → Normalize entities, relationships,… → …
- Tasks that involve Diagrams
- SKILL.md covers When to Use, Purpose, Default workflow and Diagram language decision table, plus 8 more sections
- Calls python and npm; reaches graphviz.org and plantuml.com
What it does
Diagram Generator is an agent skill from sickn33/agentic-awesome-skills. Generate, refine, validate, and render diagrams from natural language, notes, code, schemas, or existing diagram sources: flowcharts, swimlanes, attack-path graphs, data-flow diagrams, architecture, and state machines.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/README.md` and `references/diagram-patterns.md`).
It sits in Development, covering Diagrams. It works with Mermaid. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve Diagrams
Example prompts
- “/diagram-generator”
Requirements
- Python 3
- Node.js
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Identify the user's intent, audience, and source material.
- Choose the diagram family and language using the decision table below.
- Normalize entities, relationships, labels, states, branches, and time/order information before writing diagram code.
- Generate concise, readable diagram source.
- Validate the syntax mentally and, when creating files, run scripts/render_diagram.py.
- Return the diagram source plus a short note about assumptions. When files are generated, include links to the output files.
What it can do on your machine
Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
pythonnpm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
graphviz.orgplantuml.comgithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Diagram Generator loads about 2.3k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 890 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 890 words, ~2,285 tokens.
Download SKILL.mdSave it as
.claude/skills/diagram-generator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- diagram-generator
- description
- Generate, refine, validate, and render diagrams from natural language, notes, code, schemas, or existing diagram sources: flowcharts, swimlanes, attack-path graphs, data-flow diagrams, architecture, and state machines.
- risk
- safe
- source
- https://github.com/zhaoxuya520/reverse-skill
- source_repo
- zhaoxuya520/reverse-skill
- source_type
- community
- date_added
- 2026-08-25
- license
- MIT
- license_source
- https://github.com/zhaoxuya520/reverse-skill/blob/main/LICENSE
Diagram Generator
When to Use
- Turning textual analysis into Mermaid/Graphviz/PlantUML visuals.
- Producing attack-path or architecture diagrams for reports.
Purpose
Create clear, editable diagrams from messy or structured inputs. Prefer text-based diagram source first so the result can be reviewed, versioned, and refined. Render to files only when the user asks for an image/PDF or when a downloadable artifact would materially help.
Default workflow
- Identify the user's intent, audience, and source material.
- Choose the diagram family and language using the decision table below.
- Normalize entities, relationships, labels, states, branches, and time/order information before writing diagram code.
- Generate concise, readable diagram source.
- Validate the syntax mentally and, when creating files, run
scripts/render_diagram.py. - Return the diagram source plus a short note about assumptions. When files are generated, include links to the output files.
Do not over-ask for clarification. If the request is underspecified, make reasonable assumptions and label them briefly.
Diagram language decision table
Use Mermaid unless another language is clearly better.
| User wants | Prefer | Why |
|---|---|---|
| process flow, decision tree, simple swimlane | Mermaid flowchart | readable and easy to paste into Markdown |
| sequence of system/user interactions | Mermaid sequenceDiagram or PlantUML sequence | Mermaid for docs; PlantUML for UML formality |
| lifecycle, state machine, transitions | Mermaid stateDiagram-v2 or PlantUML state | compact transition syntax |
| database schema, entities, relationships | Mermaid erDiagram | portable ER notation |
| class/interface/object model | Mermaid classDiagram or PlantUML class | Mermaid for docs; PlantUML for detailed UML |
| project schedule | Mermaid gantt | concise timeline syntax |
| hierarchy, ideas, notes | Mermaid mindmap | good default for idea maps |
| customer/product journey | Mermaid journey | built-in journey notation |
| git history | Mermaid gitGraph | built-in git notation |
| dependency graph, package graph, large network | Graphviz DOT | better layout engines for dense graphs |
| architecture with layers, clusters, boundaries | Mermaid flowchart with subgraphs, Graphviz clusters, or PlantUML C4-style | choose based on requested fidelity |
| weighted flow/sankey-like relationship | Mermaid sankey-beta when supported, otherwise SVG or Graphviz | Mermaid support may vary by renderer |
| custom visual where source languages fit poorly | SVG | precise control over layout and styling |
Output policy
- Always provide editable source unless the user explicitly asks only for an image.
- Default to a single best diagram. Offer alternatives only when genuinely useful.
- Prefer stable, simple syntax over fancy features that may not render in older Mermaid/PlantUML versions.
- Use short labels. Split long text into notes outside the diagram when needed.
- Avoid ambiguous node IDs. Use ASCII IDs and human-readable labels.
- Preserve user terminology, but standardize capitalization within a diagram.
- For technical diagrams, include boundaries such as client, service, database, queue, external API, and operator/user when they are implied.
- For business-process diagrams, distinguish happy path, decision points, failures, retries, and manual steps when present.
- For diagrams created from uncertain text, include an
Assumptionssection after the code.
Mermaid generation rules
Consult references/diagram-patterns.md for compact templates.
General Mermaid rules:
- Start with the correct diagram directive, for example
flowchart TD,sequenceDiagram,erDiagram,gantt,mindmap, orjourney. - For flowcharts, use
flowchart TDunless the user asks for left-to-right; useflowchart LRfor architecture and pipelines. - Use subgraphs for swimlanes or architecture layers. Name subgraphs with readable labels.
- Keep node IDs stable and ASCII-only, for example
ingest_service[Ingest Service]. - Quote labels that contain punctuation likely to confuse the parser.
- Use decision diamonds for branching:
decision{Condition?}. - Use consistent edge labels:
-- yes -->,-- no -->,-. async .->, or== critical ==>only when meaningful. - In sequence diagrams, declare participants before messages. Use
actorfor humans andparticipantfor systems. - Use
alt/else/end,opt/end,loop/end, andpar/and/endblocks for conditional, optional, repeated, and parallel flows.
Show full SKILL.md (315 more words)Show less
Graphviz DOT generation rules
Use Graphviz for large, dense, or layout-sensitive relationship diagrams.
- Prefer
digraph Gfor directed relationships andgraph Gfor undirected networks. - Set layout-friendly graph attributes at the top:
rankdir=LR,nodesep,ranksep, andsplines=truewhen helpful. - Use
subgraph cluster_namefor boundaries and subsystems. - Use plain labels and restrained styling.
- Use edge labels only when they add meaning.
- For many nodes, group by domain with clusters and avoid crossing-heavy all-to-all edges.
PlantUML generation rules
Use PlantUML when the user asks for UML or needs formal UML notation.
- Wrap diagrams with
@startumland@enduml. - Use
actor,participant,database,queue,collections, orcomponentstereotypes when useful. - Use
package,rectangle, ornodefor architecture boundaries. - For class diagrams, include only important fields/methods unless the user asks for exhaustive detail.
- For activity diagrams, use clear start/end markers and explicit branch labels.
SVG generation rules
Use SVG only when text diagram languages cannot express the requested visual reliably.
- Keep SVG simple, accessible, and editable.
- Include
<title>and meaningful text labels. - Prefer rectangles, lines, arrows, and groups over complex paths.
- Do not embed external fonts or remote images.
Rendering files
When the user asks for PNG/SVG/PDF, create a source file and run:
python "<SKILL_ROOT>/diagram-generator/scripts/render_diagram.py" input.mmd --format svg --out output.svg
python "<SKILL_ROOT>/diagram-generator/scripts/render_diagram.py" input.dot --format png --out output.png
python "<SKILL_ROOT>/diagram-generator/scripts/render_diagram.py" input.puml --format svg --out output.svg
<SKILL_ROOT>是本包skills/目录的实际路径，AI 应自动检测。
The renderer is intentionally dependency-tolerant. It tries common local tools and reports actionable installation hints if a renderer is unavailable. Do not claim an image was rendered unless the script completed successfully and the output file exists.
Validation checklist
Before finalizing:
- The diagram type matches the user's task.
- The source is syntactically plausible for the chosen language.
- Labels are short enough to fit.
- Edges and message order reflect the input accurately.
- Assumptions are called out when the input was incomplete.
- For generated files, the output exists and opens or has nonzero size.
Common response template
Use this structure for most diagram answers:
下面是可编辑的 [language] 版本：
```[language]
[source]Assumptions:
- [only if needed]
Rendered file: [link] [only if generated]
For English user requests, respond in English. For Chinese user requests, respond in Chinese unless they ask otherwise.
---
## 按需自举（On-Demand Bootstrap）
### 自动化能力边界
| 工具 | 可自动安装 | 安装方式 | 说明 |
|------|-----------|---------|------|
| Mermaid CLI (mmdc) | ✓ | npm install -g @mermaid-js/mermaid-cli | 渲染 Mermaid 为 PNG/SVG |
| Graphviz (dot) | ✗ | 手动安装 | https://graphviz.org/download/ |
| PlantUML | ✗ | 需要 Java + plantuml.jar | https://plantuml.com/download |
| Python (render script) | ✓ | 已在 bootstrap 中 | `scripts/render_diagram.py` 依赖 |
### 说明
本 skill 主要输出文本格式的图表源码（Mermaid/DOT/PlantUML），不一定需要本地渲染工具。只有当用户明确要求生成 PNG/SVG/PDF 文件时才需要对应的渲染器。
如果渲染器不可用，`scripts/render_diagram.py` 会输出安装提示而不是报错。
---
## 路由上下文
**上游入口**: `skills/SKILL.md`（总控）、`routing.md`
**触发条件**: 用户说"画图"、"流程图"、"架构图"、"攻击路径图"、"时序图"、"Mermaid"、"Graphviz"、"PlantUML"
**下游出口**:
- 生成的图表可嵌入 `docs-generator/` 的报告中
- 攻击路径图可配合 `pentest-tools/` 的渗透报告
**同级关联模块**: `docs-generator/`（报告中嵌入图表）
## 任务完成自检（声称完成前 MUST 通过）
- [ ] 我是否执行了工作流中的每一步（而不是只阅读）？
- [ ] 我是否基于 `tool-index` 使用了真实工具路径？
- [ ] 我是否产出了可复现证据（命令/脚本/截图/报告）？
- [ ] 我是否完成并回写了 RULES 要求的 Checklist 项？
## Limitations
- Complex auto-layouts may need manual adjustment in the target tool.
- Rendering fidelity depends on the available diagram CLI/renderer.
> Adapted from [zhaoxuya520/reverse-skill](https://github.com/zhaoxuya520/reverse-skill) (MIT).© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in skills/diagram-generator of sickn33/agentic-awesome-skills.
- SKILL.md
- references/README.md
- references/diagram-patterns.md
Open the folder on GitHubat commit b84d35a
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Diagram Generator 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 |
|---|---|---|---|---|---|---|
| Diagram Generator this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Archify Diagramstt-a1i/archify | 82k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Diagram Designcathrynlavery/diagram-design | 49k | 1 repos | ~7.6k | Automated safety check: Pass | MIT | |
| Draw.io Diagram StudioAgents365-ai/drawio-skill | 10k | — | ~2.4k | Automated safety check: Notes | MIT | |
| Pretty Mermaid Rendererimxv/Pretty-mermaid-skills | 1.5k | — | ~2k | Automated safety check: Pass | MIT | |
| Archify Diagram BuilderUnclecheng-li/AI_Animation | 1.5k | 2 repos | ~4.1k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Diagram Generator
What does Diagram Generator do?
Generate, refine, validate, and render diagrams from natural language, notes, code, schemas, or existing diagram sources: flowcharts, swimlanes, attack-path graphs, data-flow diagrams, architecture…. Diagram Generator is an agent skill from sickn33/agentic-awesome-skills. Generate, refine, validate, and render diagrams from natural language, notes, code, schemas, or existing diagram sources: flowcharts, swimlanes, attack-path graphs, data-flow diagrams, architecture, and state machines.
When should I use Diagram Generator?
Diagram Generator fits situations like: tasks that involve Diagrams.
How do I install Diagram Generator in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill diagram-generator -a claude-code`. Or copy the skill folder (skills/diagram-generator in sickn33/agentic-awesome-skills) into .claude/skills/diagram-generator in your project. Claude Code loads it when a task matches its description.
How do I install Diagram Generator in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill diagram-generator -a codex`. Or copy the skill folder (skills/diagram-generator in sickn33/agentic-awesome-skills) into .agents/skills/diagram-generator in your project. Codex loads it when a task matches its description.
Can I use Diagram Generator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill diagram-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/diagram-generator, .gemini/skills/diagram-generator, .github/skills/diagram-generator and .opencode/skills/diagram-generator in your project.
What does Diagram Generator need to run?
Going by SKILL.md and its folder, Diagram Generator needs the command-line tools its instructions call (python and npm). Our summary lists: Python 3; Node.js.
Does Diagram Generator access the network?
SKILL.md names 3 domains. In commands or code: graphviz.org, plantuml.com and github.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Diagram Generator safe to install?
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.
What licence does Diagram Generator use?
Diagram Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Diagram Generator use?
About 2.3k tokens (SKILL.md is roughly 9.1k 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 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Diagram Generator?
Skills that share tags, products or a category with Diagram Generator: Archify Diagrams (tt-a1i/archify, 82k stars), Diagram Design (cathrynlavery/diagram-design, 49k stars), Draw.io Diagram Studio (Agents365-ai/drawio-skill, 10k stars) and Pretty Mermaid Renderer (imxv/Pretty-mermaid-skills, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Diagram Generator?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.