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 ASCII art diagrams using PlantUML text mode. An agent skill from github/awesome-copilot.
$ npx skills add github/awesome-copilot --skill plantuml-ascii -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot plantuml-ascii --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/plantuml-ascii .claude/skills/plantuml-ascii && 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 "plantuml-ascii" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/plantuml-ascii into .claude/skills/plantuml-ascii/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plantuml-ascii", 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/github/awesome-copilot/tree/main/skills/plantuml-asciiType 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 github/awesome-copilot --skill plantuml-ascii -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot plantuml-ascii --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/plantuml-ascii .agents/skills/plantuml-ascii && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "plantuml-ascii" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/plantuml-ascii into .agents/skills/plantuml-ascii/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plantuml-ascii", 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 github/awesome-copilot --skill plantuml-ascii -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot plantuml-ascii --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/plantuml-ascii .cursor/skills/plantuml-ascii && 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 "plantuml-ascii" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/plantuml-ascii into .cursor/skills/plantuml-ascii/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plantuml-ascii", 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/github/awesome-copilot.git --path skills/plantuml-ascii--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 github/awesome-copilot --skill plantuml-ascii -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot plantuml-ascii --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/plantuml-ascii .gemini/skills/plantuml-ascii && 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 "plantuml-ascii" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/plantuml-ascii into .gemini/skills/plantuml-ascii/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plantuml-ascii", 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 github/awesome-copilot plantuml-asciiInstalls 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 github/awesome-copilot --skill plantuml-ascii -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/plantuml-ascii .github/skills/plantuml-ascii && 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 "plantuml-ascii" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/plantuml-ascii into .github/skills/plantuml-ascii/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plantuml-ascii", 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 github/awesome-copilot --skill plantuml-ascii -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot plantuml-ascii --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/plantuml-ascii .opencode/skills/plantuml-ascii && 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 "plantuml-ascii" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/plantuml-ascii into .opencode/skills/plantuml-ascii/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plantuml-ascii", 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.
plantuml-asciiGenerate ASCII art diagrams using PlantUML text mode. An agent skill from github/awesome-copilot.
Plantuml Ascii is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Diagrams. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7cce7cf. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashWriteReadFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
javabrewapt-getyumwgetFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom 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.
Plantuml Ascii loads about 1.5k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 250 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 noted patterns worth knowing about, such as sudo or a known installer.
sudo apt-get install plantuml # Ubuntu/Debiansudo yum install plantuml # RHEL/CentOSallowed-tools: Bash, Write, ReadAutomated 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 github/awesome-copilot at commit 7cce7cf, republished under its MIT licence (© github). 250 words, ~1,489 tokens.
.claude/skills/plantuml-ascii/SKILL.md (or your agent's skills folder).Create text-based ASCII art diagrams using PlantUML. Perfect for documentation in terminal environments, README files, emails, or any scenario where graphical diagrams aren't suitable.
PlantUML can generate diagrams as plain text (ASCII art) instead of images. This is useful for:
# macOS
brew install plantuml
# Linux (varies by distro)
sudo apt-get install plantuml # Ubuntu/Debian
sudo yum install plantuml # RHEL/CentOS
# Or download JAR directly
wget https://github.com/plantuml/plantuml/releases/download/v1.2024.0/plantuml-1.2024.0.jar| Flag | Format | Description |
|---|---|---|
-txt | ASCII | Pure ASCII characters |
-utxt | Unicode ASCII | Enhanced with box-drawing characters |
@startuml
participant Bob
actor Alice
Bob -> Alice : hello
Alice -> Bob : Is it ok?
@enduml# Standard ASCII output
plantuml -txt diagram.puml
# Unicode-enhanced output (better looking)
plantuml -utxt diagram.puml
# Using JAR directly
java -jar plantuml.jar -txt diagram.puml
java -jar plantuml.jar -utxt diagram.pumlOutput is saved as diagram.atxt (ASCII) or diagram.utxt (Unicode).
@startuml
actor User
participant "Web App" as App
database "Database" as DB
User -> App : Login Request
App -> DB : Validate Credentials
DB --> App : User Data
App --> User : Auth Token
@enduml@startuml
class User {
+id: int
+name: string
+email: string
+login(): bool
}
class Order {
+id: int
+total: float
+items: List
+calculateTotal(): float
}
User "1" -- "*" Order : places
@enduml@startuml
start
:Initialize;
if (Is Valid?) then (yes)
:Process Data;
:Save Result;
else (no)
:Log Error;
stop
endif
:Complete;
stop
@enduml@startuml
[*] --> Idle
Idle --> Processing : start
Processing --> Success : complete
Processing --> Error : fail
Success --> [*]
Error --> Idle : retry
@enduml@startuml
[Client] as client
[API Gateway] as gateway
[Service A] as svcA
[Service B] as svcB
[Database] as db
client --> gateway
gateway --> svcA
gateway --> svcB
svcA --> db
svcB --> db
@enduml@startuml
actor "User" as user
actor "Admin" as admin
rectangle "System" {
user -- (Login)
user -- (View Profile)
user -- (Update Settings)
admin -- (Manage Users)
admin -- (Configure System)
}
@enduml@startuml
actor "User" as user
node "Load Balancer" as lb
node "Web Server 1" as ws1
node "Web Server 2" as ws2
database "Primary DB" as db1
database "Replica DB" as db2
user --> lb
lb --> ws1
lb --> ws2
ws1 --> db1
ws2 --> db1
db1 --> db2 : replicate
@enduml# Specify output directory
plantuml -txt -o ./output diagram.puml
# Process all files in directory
plantuml -txt ./diagrams/
# Include dot files (hidden files)
plantuml -txt -includeDot diagrams/
# Verbose output
plantuml -txt -v diagram.puml
# Specify charset
plantuml -txt -charset UTF-8 diagram.puml<target name="generate-ascii">
<plantuml dir="./src" format="txt" />
</target>
<target name="generate-unicode-ascii">
<plantuml dir="./src" format="utxt" />
</target>-utxt): Better visual quality with box-drawing charsStandard ASCII (-txt):
,---. ,---.
|Bob| |Alice|
`---' `---'
| hello |
|------------->|
| |
| Is it ok? |
|<-------------|
| |Unicode ASCII (-utxt):
┌─────┐ ┌─────┐
│ Bob │ │Alice│
└─────┘ └─────┘
│ hello │
│─────────────>│
│ │
│ Is it ok? │
│<─────────────│
│ │# Create sequence diagram in ASCII
cat > seq.puml << 'EOF'
@startuml
Alice -> Bob: Request
Bob --> Alice: Response
@enduml
EOF
plantuml -txt seq.puml
cat seq.atxt
# Create with Unicode
plantuml -utxt seq.puml
cat seq.utxtProblem: Garbled Unicode characters
Problem: Diagram looks misaligned
Problem: Command not found
Problem: Output file not created
© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/plantuml-ascii of github/awesome-copilot.
Open the folder on GitHubat commit 7cce7cf
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.
Plantuml Ascii 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 |
|---|---|---|---|---|---|---|
| Plantuml Ascii this skillgithub/awesome-copilot | 40k | 1 repos | ~1.5k | Automated safety check: Notes | 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.
github/awesome-copilot
Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
github/awesome-copilot
Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.
github/awesome-copilot
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
Categories
Generate ASCII art diagrams using PlantUML text mode. An agent skill from github/awesome-copilot. Plantuml Ascii is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate ASCII art diagrams using PlantUML text mode.
Plantuml Ascii fits situations like: user asks to create ASCII diagrams; text-based diagrams; terminal-friendly diagrams; mentions plantuml ascii.
Run `npx skills add github/awesome-copilot --skill plantuml-ascii -a claude-code`. Or copy the skill folder (skills/plantuml-ascii in github/awesome-copilot) into .claude/skills/plantuml-ascii in your project. Claude Code loads it when a task matches its description.
Run `npx skills add github/awesome-copilot --skill plantuml-ascii -a codex`. Or copy the skill folder (skills/plantuml-ascii in github/awesome-copilot) into .agents/skills/plantuml-ascii 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 github/awesome-copilot --skill plantuml-ascii -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plantuml-ascii, .gemini/skills/plantuml-ascii, .github/skills/plantuml-ascii and .opencode/skills/plantuml-ascii in your project.
Going by SKILL.md and its folder, Plantuml Ascii needs the command-line tools its instructions call (java, brew, apt-get, yum and wget). Its frontmatter pre-approves these tools: Bash, Write, Read.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Plantuml Ascii is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Plantuml Ascii: 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.
github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,792 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 8, 2026.
Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.