Image to Three.js Model
img2threejs/img2threejs
Rebuilds the object in a reference image as a procedural, animation-ready Three.js model written entirely in code, using staged sculpting with quality checks.
Build portable, first-person colored ASCII city engines and small GIS-derived city packs.
Install Ascii City Engine
$ npx skills add magnus919/agent-skills --skill ascii-city-engine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install magnus919/agent-skills ascii-city-engine --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/magnus919/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ascii-city-engine .claude/skills/ascii-city-engine && 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 "ascii-city-engine" agent skill from https://github.com/magnus919/agent-skills/tree/main/ascii-city-engine into .claude/skills/ascii-city-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ascii-city-engine", 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/magnus919/agent-skills/tree/main/ascii-city-engineType 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 magnus919/agent-skills --skill ascii-city-engine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install magnus919/agent-skills ascii-city-engine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ascii-city-engine .agents/skills/ascii-city-engine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ascii-city-engine" agent skill from https://github.com/magnus919/agent-skills/tree/main/ascii-city-engine into .agents/skills/ascii-city-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ascii-city-engine", 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 magnus919/agent-skills --skill ascii-city-engine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install magnus919/agent-skills ascii-city-engine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ascii-city-engine .cursor/skills/ascii-city-engine && 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 "ascii-city-engine" agent skill from https://github.com/magnus919/agent-skills/tree/main/ascii-city-engine into .cursor/skills/ascii-city-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ascii-city-engine", 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/magnus919/agent-skills.git --path ascii-city-engine--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 magnus919/agent-skills --skill ascii-city-engine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install magnus919/agent-skills ascii-city-engine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ascii-city-engine .gemini/skills/ascii-city-engine && 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 "ascii-city-engine" agent skill from https://github.com/magnus919/agent-skills/tree/main/ascii-city-engine into .gemini/skills/ascii-city-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ascii-city-engine", 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 magnus919/agent-skills ascii-city-engineInstalls 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 magnus919/agent-skills --skill ascii-city-engine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ascii-city-engine .github/skills/ascii-city-engine && 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 "ascii-city-engine" agent skill from https://github.com/magnus919/agent-skills/tree/main/ascii-city-engine into .github/skills/ascii-city-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ascii-city-engine", 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 magnus919/agent-skills --skill ascii-city-engine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install magnus919/agent-skills ascii-city-engine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ascii-city-engine .opencode/skills/ascii-city-engine && 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 "ascii-city-engine" agent skill from https://github.com/magnus919/agent-skills/tree/main/ascii-city-engine into .opencode/skills/ascii-city-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ascii-city-engine", 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
ascii-city-engine- GitHub stars
- 119
- Token cost
- ~1.1k tokens
- SKILL.md length
- 489 words
- Files
- 16 (incl. scripts, references, assets)
- Skills in repo
- 131
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build portable, first-person colored ASCII city engines and small GIS-derived city packs.
- Works in 7 steps: Define the pack boundary and local… → Acquire elevation, building, and… → Verify downloads, licenses, units, and… → …
- Designing terrain-following walking
- SKILL.md covers Workflow, Required invariants, Reference routing and Available Scripts, plus 3 more sections
- Runs Python scripts from its folder; calls python3
What it does
Ascii City Engine is an agent skill from magnus919/agent-skills. Build portable, first-person colored ASCII city engines and small GIS-derived city packs. Use when designing terrain-following walking, raycast character rendering, city-provider schemas, or reproducible public-GIS ingestion. Do not use for conventional 3D/WebGL games, multi-level interiors, general GIS analysis, or committing full-resolution GIS archives.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including scripts, reference files and assets (for example `README.md`, `assets/deliberately-broken-pack/README.md` and `assets/deliberately-broken-pack/manifest.json`).
It sits in Game Development, covering 3D graphics and WebGL. The repository describes itself as: Curated collection of AI agent skills for Hermes and other agent frameworks. The licence is MIT.
When your agent uses it
- Designing terrain-following walking
- Raycast character rendering
- City-provider schemas
- Reproducible public-GIS ingestion
Example prompts
- “/ascii-city-engine”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Define the pack boundary and local meter-based CRS.
- Acquire elevation, building, and road/path data from public sources.
- Verify downloads, licenses, units, and provenance before conversion.
- Reproject all geometry to local meters and emit the manifest plus world tiles.
- Validate the pack offline
- Load the pack's first tile in assets/ascii-city-engine.html and test movement, grade following, and solid footprints.
- Record data limitations and human acceptance evidence.
What it can do on your machine
Read from SKILL.md and the folder at commit 9cb2f8b. 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
Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Ascii City Engine loads about 1.1k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 489 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); the scripts in this folder are not scanned.
SKILL.md
The full file from magnus919/agent-skills at commit 9cb2f8b, republished under its MIT licence (© magnus919). 489 words, ~1,102 tokens.
Download SKILL.mdSave it as
.claude/skills/ascii-city-engine/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.- name
- ascii-city-engine
- description
- Build portable, first-person colored ASCII city engines and small GIS-derived city packs. Use when designing terrain-following walking, raycast character rendering, city-provider schemas, or reproducible public-GIS ingestion. Do not use for conventional 3D/WebGL games, multi-level interiors, general GIS analysis, or committing full-resolution GIS archives.
ASCII City Engine
Build a portable city experience in three layers: an engine, a city-provider contract, and a city pack. Keep city-specific facts out of engine code.
Workflow
- Define the pack boundary and local meter-based CRS.
- Acquire elevation, building, and road/path data from public sources.
- Verify downloads, licenses, units, and provenance before conversion.
- Reproject all geometry to local meters and emit the manifest plus world tiles.
- Validate the pack offline:
sh python3 scripts/validate-city-pack.py path/to/city-pack - Load the pack's first tile in
assets/ascii-city-engine.htmland test movement, grade following, and solid footprints. - Record data limitations and human acceptance evidence.
Required invariants
- Compute
feet_zfrom terrain andeye_zfrom feet plus eye height. - Reject null terrain, over-steep steps, and movement touching a solid footprint.
- Use deterministic building colors and clear missed rays every frame.
- Treat v1 as one ground height per
(x, y)column; reserve, but do not implement, a surface graph. - Keep the engine independent of any city, vendor, agent harness, or private infrastructure.
- Do not commit large or full-resolution source data. Commit only a small redistributable sample; document acquisition for the rest.
Reference routing
- Read references/engine-architecture.md for world math, rendering, collisions, and the scaffold contract.
- Read references/city-provider-contract.md when creating or validating a provider.
- Read references/gis-ingestion.md before downloading or converting GIS sources.
- Read references/raleigh-poc.md for the reproducible Raleigh proof of concept.
- Use templates/city-pack-manifest.schema.json and templates/world.schema.json as authoritative data contracts.
Available Scripts
This skill bundles one script; there are no others to discover.
| Script | Purpose | Invocation |
|---|---|---|
scripts/validate-city-pack.py | Offline validator for a city pack: checks the manifest against the schema contract and verifies world tiles. Run it at workflow step 5, after emitting the manifest and tiles and before loading anything in the engine — do not proceed to in-engine testing until it passes. | python3 scripts/validate-city-pack.py path/to/city-pack |
Show full SKILL.md (195 more words)Show less
Prerequisites
- Python 3 with standard library only; the validator requires no third-party packages.
- A city pack produced through the ingestion workflow: manifest plus world tiles reprojected to local meters (see references/gis-ingestion.md).
- The engine itself is a standalone HTML file (
assets/ascii-city-engine.html) that runs in any modern browser; no build step or server is required.
Limitations
- v1 supports one ground height per
(x, y)column: no interiors, bridges with traversable space below, tunnels, or multi-level geometry (a surface graph is reserved but not implemented). - The engine is software-rendered CPU canvas — no WebGL/GPU rendering or mobile controls.
- The skill does not include full-resolution GIS archives; packs are built reproducibly from public sources, committing only small redistributable samples.
- The validator is offline and structural: passing it does not substitute for human movement testing in the engine (workflow step 6).
Boundaries
Use a different skill or implementation approach for WebGL/GPU rendering, mobile controls, combat, interiors, bridges with traversable space below, tunnels, or general-purpose geospatial analysis. If asked to specialize this skill for one agent runtime, preserve the portable core and put runtime integration outside this skill. If asked to commit large GIS binaries, refuse and provide reproducible download/conversion commands instead.
© magnus919, 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 15 other files (scripts, references, assets) in ascii-city-engine of magnus919/agent-skills.
- SKILL.md
- README.md
- assets/ascii-city-engine.html
- assets/deliberately-broken-pack/README.md
- assets/deliberately-broken-pack/manifest.json
- assets/raleigh-downtown-sample/manifest.json
- assets/raleigh-downtown-sample/world/tile-0.json
- evals/evals.json
- references/city-provider-contract.md
- references/engine-architecture.md
- references/gis-ingestion.md
- references/raleigh-poc.md
- scripts/validate-city-pack.py
- templates
- … and 2 more
Open the folder on GitHubat commit 9cb2f8b
Compare with similar skills
Ascii City Engine 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 |
|---|---|---|---|---|---|---|
| Ascii City Engine this skillmagnus919/agent-skills | 119 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Image to Three.js Modelimg2threejs/img2threejs | 18k | 1 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Web CloneJane-xiaoer/claude-skill-web-clone | 1k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Threejs Game Directormajidmanzarpour/threejs-game-skills | 2.5k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Game Asset Generatorhtdt/godogen | 7.1k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Threejs Gameplay Systemsvalkor-ai/loom | 1.2k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Ascii City Engine
What does Ascii City Engine do?
Build portable, first-person colored ASCII city engines and small GIS-derived city packs. Ascii City Engine is an agent skill from magnus919/agent-skills. Build portable, first-person colored ASCII city engines and small GIS-derived city packs.
When should I use Ascii City Engine?
Ascii City Engine fits situations like: designing terrain-following walking; raycast character rendering; city-provider schemas; reproducible public-GIS ingestion.
How do I install Ascii City Engine in Claude Code?
Run `npx skills add magnus919/agent-skills --skill ascii-city-engine -a claude-code`. Or copy the skill folder (ascii-city-engine in magnus919/agent-skills) into .claude/skills/ascii-city-engine in your project. Claude Code loads it when a task matches its description.
How do I install Ascii City Engine in Codex?
Run `npx skills add magnus919/agent-skills --skill ascii-city-engine -a codex`. Or copy the skill folder (ascii-city-engine in magnus919/agent-skills) into .agents/skills/ascii-city-engine in your project. Codex loads it when a task matches its description.
Can I use Ascii City Engine 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 magnus919/agent-skills --skill ascii-city-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ascii-city-engine, .gemini/skills/ascii-city-engine, .github/skills/ascii-city-engine and .opencode/skills/ascii-city-engine in your project.
What does Ascii City Engine need to run?
Going by SKILL.md and its folder, Ascii City Engine needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Ascii City Engine access the network?
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.
Is Ascii City Engine 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Ascii City Engine use?
Ascii City Engine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ascii City Engine use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 6.1k tokens, read only when the agent opens those files.
What are the alternatives to Ascii City Engine?
Skills that share tags, products or a category with Ascii City Engine: Image to Three.js Model (img2threejs/img2threejs, 18k stars), Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars), Threejs Game Director (majidmanzarpour/threejs-game-skills, 2.5k stars) and Game Asset Generator (htdt/godogen, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ascii City Engine?
magnus919 (a GitHub user) maintains it in magnus919/agent-skills, which has 119 GitHub stars. The repository holds 131 skills in this directory. The repository was last updated on October 11, 2026.
Source: magnus919/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.