Java Coding Standards
affaan-m/ECC
Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout.
Design transit-oriented developments using ITDP TOD Standard, global best practices, and density-distance gradient principles.
$ npx skills add Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude tod-design --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/Abhinavbwj/Urban-Design-Skills-Claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tod-design .claude/skills/tod-design && 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 "tod-design" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/tod-design into .claude/skills/tod-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tod-design", 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/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/tod-designType 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 Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude tod-design --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abhinavbwj/Urban-Design-Skills-Claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tod-design .agents/skills/tod-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tod-design" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/tod-design into .agents/skills/tod-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tod-design", 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 Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude tod-design --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abhinavbwj/Urban-Design-Skills-Claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tod-design .cursor/skills/tod-design && 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 "tod-design" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/tod-design into .cursor/skills/tod-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tod-design", 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/Abhinavbwj/Urban-Design-Skills-Claude.git --path skills/tod-design--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 Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude tod-design --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abhinavbwj/Urban-Design-Skills-Claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tod-design .gemini/skills/tod-design && 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 "tod-design" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/tod-design into .gemini/skills/tod-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tod-design", 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 Abhinavbwj/Urban-Design-Skills-Claude tod-designInstalls 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 Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Abhinavbwj/Urban-Design-Skills-Claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tod-design .github/skills/tod-design && 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 "tod-design" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/tod-design into .github/skills/tod-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tod-design", 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 Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude tod-design --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abhinavbwj/Urban-Design-Skills-Claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tod-design .opencode/skills/tod-design && 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 "tod-design" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/tod-design into .opencode/skills/tod-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tod-design", 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.
tod-designDesign transit-oriented developments using ITDP TOD Standard, global best practices, and density-distance gradient principles.
Tod Design is an agent skill from Abhinavbwj/Urban-Design-Skills-Claude. Design transit-oriented developments using ITDP TOD Standard, global best practices, and density-distance gradient principles. Use when the user asks to design around a transit station, create a TOD plan, optimize development near transit, plan a transit district, design a station area, or develop around a metro stop, BRT station, tram stop, or rail station. Also use when discussing walk catchments around transit, density gradients from stations, or first-last mile connectivity.
Its SKILL.md is about 7.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/itdp-standard.md` and `references/tod-typologies.md`).
The repository describes itself as: Urban Design Skills Claude. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 666327b. 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.
Links to these hosts (documentation or services it may open):
itdp.orgtrb.orgtransit.dot.govuli.orgreconnectingamerica.orgmtr.com.hkura.gov.sgc40.orgFrom 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.
Tod Design loads about 7.9k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 3,520 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 Abhinavbwj/Urban-Design-Skills-Claude at commit 666327b, republished under its MIT licence (© Abhinavbwj). 3,520 words, ~7,855 tokens.
.claude/skills/tod-design/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.This skill provides a complete framework for designing transit-oriented developments based on the ITDP TOD Standard v3.0, global best practices from cities like Tokyo, Hong Kong, Copenhagen, Curitiba, and Singapore, and density-distance gradient principles derived from decades of empirical research. It covers the full workflow from transit mode classification through station area planning, density calibration, use mix programming, parking management, and first-last mile connectivity design.
Use the following matrix to determine the baseline design parameters for any TOD project. Start by identifying the transit mode, then adjust using the context modifiers below the table.
| Transit Mode | Walk Catchment | Min Density | Typical FAR | Height Range | Character |
|---|---|---|---|---|---|
| Metro / Heavy Rail | 800m | 100 DU/ha | 3.0 - 10.0 | 6 - 40+ stories | Urban center, regional destination, highest intensity mixed-use |
| Light Rail / Tram | 600m | 60 DU/ha | 2.0 - 5.0 | 4 - 12 stories | Urban neighborhood, linear corridor with medium-intensity nodes |
| BRT (Bus Rapid Transit) | 500m | 50 DU/ha | 1.5 - 4.0 | 3 - 8 stories | Boulevard district, corridor-based development |
| Bus (frequent, <10 min headway) | 400m | 30 DU/ha | 1.0 - 2.5 | 2 - 5 stories | Neighborhood center, incremental densification |
| Commuter Rail | 800m | 40 DU/ha | 1.5 - 4.0 | 3 - 8 stories | Town center, park-and-ride transition to walkable core |
| Ferry Terminal | 400m | 50 DU/ha | 2.0 - 5.0 | 3 - 8 stories | Waterfront district, tourism + residential + commercial |
Apply these after selecting the primary transit mode to fine-tune parameters:
| Context | Density Modifier | FAR Modifier | Notes |
|---|---|---|---|
| CBD / Central City | +50% | +2.0 to +5.0 | Highest intensity justified by regional accessibility |
| Interchange Station (2+ lines) | +30% | +1.5 to +3.0 | Multi-modal hub attracts higher ridership and demand |
| Terminus / End-of-Line | -20% | -0.5 to -1.0 | Lower accessibility; park-and-ride may be appropriate |
| Suburban / Greenfield | -30% | -0.5 to -1.5 | Lower existing demand; phase density over time |
| Historic / Heritage Area | -20% | -1.0 to -2.0 | Height and massing constraints; character preservation |
| University / Hospital Anchor | +20% | +0.5 to +1.5 | Institutional trip generators increase demand |
| Waterfront / Park Edge | No change | No change | Adjust massing for view corridors and public access |
The standard walk catchments above assume flat terrain and a connected street grid. Adjust as follows:
The Institute for Transportation and Development Policy (ITDP) TOD Standard v3.0 provides an internationally recognized framework for evaluating and designing transit-oriented developments. The standard scores developments on a 0-100 scale across 8 principles. Use these principles as both a design checklist and a scoring rubric.
| Award Level | Minimum Score | Interpretation |
|---|---|---|
| Gold TOD Standard | 85 or above | World-class TOD; exemplary in all dimensions |
| Silver TOD Standard | 70 - 84 | High-quality TOD; strong performance with minor gaps |
| Bronze TOD Standard | 55 - 69 | Good TOD; meets core criteria but has improvement areas |
| Below Bronze | Below 55 | Does not qualify as TOD; significant redesign needed |
Goal: Create a safe, complete, and comfortable pedestrian environment that makes walking the most attractive mode for short trips.
Scoring Criteria:
Design Implications:
Goal: Provide safe, connected cycling infrastructure and end-of-trip facilities that make cycling viable for trips up to 5 km.
Scoring Criteria:
Design Implications:
Goal: Ensure a highly connected street and path network that provides direct, multiple routes between any two points.
Scoring Criteria:
Design Implications:
Goal: Ensure high-quality, frequent transit service that is easily accessible from all parts of the development.
Scoring Criteria:
Design Implications:
Goal: Create a diverse mix of complementary land uses that supports walkable daily life and reduces the need for car trips.
Scoring Criteria:
Design Implications:
Goal: Achieve residential and employment densities that support high-frequency transit and create vibrant, walkable neighborhoods.
Scoring Criteria:
Design Implications:
Goal: Ensure development is contiguous with the existing urban fabric, avoiding leapfrog development and sprawl.
Scoring Criteria:
Design Implications:
Goal: Reduce automobile dependence through parking management, traffic calming, and car-free zones.
Scoring Criteria:
Design Implications:
The fundamental organizing principle of TOD is the density gradient: highest intensity at the station, decreasing with distance. This gradient responds to land value economics, walkability thresholds, and transit ridership optimization.
Zone A: Station Core (0-200m from station entrance)
Zone B: Urban Core (200-400m)
Zone C: Transition (400-600m)
Zone D: Edge (600-800m)
Assumptions: Metro station, urban context, 800m catchment, circular area
Total catchment area = pi x 800^2 = 2,010,619 m2 = 201 ha
Less roads and infrastructure (25%): 201 x 0.75 = 151 ha net developable
Less parks and open space (15%): 151 x 0.85 = 128 ha net buildable
Zone A (0-200m): pi x 200^2 = 12.6 ha gross -> 8.0 ha net -> FAR 6.0 -> 480,000 m2 GFA
Zone B (200-400m): pi x (400^2 - 200^2) = 37.7 ha gross -> 24.0 ha net -> FAR 3.5 -> 840,000 m2 GFA
Zone C (400-600m): pi x (600^2 - 400^2) = 62.8 ha gross -> 40.0 ha net -> FAR 2.0 -> 800,000 m2 GFA
Zone D (600-800m): pi x (800^2 - 600^2) = 87.9 ha gross -> 56.0 ha net -> FAR 1.0 -> 560,000 m2 GFA
TOTAL GFA: 2,680,000 m2
Program split (typical metro TOD):
Residential (55%): 1,474,000 m2 -> at 80 m2/unit = 18,425 units -> at 2.5 persons/unit = 46,000 people
Office (20%): 536,000 m2 -> at 15 m2/employee = 35,700 jobs
Retail (10%): 268,000 m2
Civic/Institutional (10%): 268,000 m2
Hotel (5%): 134,000 m2 -> at 35 m2/key = 3,800 keys
Residential density: 46,000 people / 201 ha = 22,900 people/km2 (exceeds ITDP 15,000 threshold)
Combined density: 46,000 residents + 35,700 workers = 81,700 / 201 ha = 40,600 people/km2The quality of first-last mile connections determines whether people actually walk or cycle to the station. A station with poor last-mile connectivity will underperform its ridership potential by 30-50%.
The station itself is the heart of the TOD. Its design determines how effectively the surrounding development connects to transit and how the public realm functions as a civic space.
Parking policy is the single most powerful lever for making TOD work. Excessive parking undermines transit ridership, wastes land, increases costs, and generates traffic. The following parking management framework is calibrated for TOD contexts.
| Use | Zone A (0-200m) | Zone B (200-400m) | Zone C (400-600m) | Zone D (600-800m) |
|---|---|---|---|---|
| Residential (per unit) | 0.0 - 0.3 | 0.3 - 0.5 | 0.5 - 0.7 | 0.7 - 1.0 |
| Office (per 100 m2 GFA) | 0.5 - 1.0 | 1.0 - 1.5 | 1.5 - 2.0 | 2.0 - 3.0 |
| Retail (per 100 m2 GFA) | 0.5 - 1.0 | 1.0 - 2.0 | 2.0 - 3.0 | 3.0 - 4.0 |
| Hotel (per room) | 0.1 - 0.2 | 0.2 - 0.3 | 0.3 - 0.5 | 0.5 - 0.7 |
These are maximums, not minimums. Zero parking minimums should be the baseline policy within the entire TOD catchment.
When producing a TOD design, deliver the following specification package:
TOD DESIGN SPECIFICATION
========================
PROJECT: [Name]
LOCATION: [City, Address / Coordinates]
TRANSIT MODE: [Metro / LRT / BRT / Bus / Commuter Rail / Ferry]
STATION TYPE: [New / Existing / Planned]
CONTEXT: [CBD / Urban / Suburban / Greenfield / Infill]
CATCHMENT PARAMETERS:
Walk catchment radius: [m]
Catchment area (gross): [ha]
Net developable area: [ha]
Road/infrastructure deduction: [%]
Open space allocation: [%]
DENSITY-DISTANCE GRADIENT:
+--------+--------+-------+--------+---------+----------+
| Zone | Radius | Area | FAR | GFA | Height |
+--------+--------+-------+--------+---------+----------+
| A Core | 0-200m | XX ha | X.X | XXX m2 | X-X st |
| B Urban| 200- | XX ha | X.X | XXX m2 | X-X st |
| | 400m | | | | |
| C Trans| 400- | XX ha | X.X | XXX m2 | X-X st |
| | 600m | | | | |
| D Edge | 600- | XX ha | X.X | XXX m2 | X-X st |
| | 800m | | | | |
+--------+--------+-------+--------+---------+----------+
| TOTAL | | XX ha | | XXX m2 | |
+--------+--------+-------+--------+---------+----------+
PROGRAM MIX:
Residential: XXX,XXX m2 (XX%) -> XX,XXX units -> XX,XXX residents
Office: XXX,XXX m2 (XX%) -> XX,XXX jobs
Retail / F&B: XXX,XXX m2 (XX%)
Civic / Community:XXX,XXX m2 (XX%)
Hotel: XXX,XXX m2 (XX%) -> X,XXX keys
TOTAL GFA: XXX,XXX m2
PARKING:
Residential parking ratio: X.X spaces/unit
Total residential spaces: X,XXX
Commercial parking ratio: X.X spaces/100 m2
Total commercial spaces: X,XXX
Car-share spaces: XXX
Bicycle parking spaces: X,XXX
ITDP TOD STANDARD SCORECARD:
1. WALK: XX / 15
2. CYCLE: XX / 5
3. CONNECT: XX / 15
4. TRANSIT: XX / 5
5. MIX: XX / 15
6. DENSIFY: XX / 15
7. COMPACT: XX / 10
8. SHIFT: XX / 20
-------------------
TOTAL: XX / 100
AWARD: [Gold / Silver / Bronze / None]
STATION AREA:
Station plaza area: X,XXX m2
Interchange modes: [list]
Bicycle parking at station: XXX spaces
Kiss-and-ride spaces: XX
Bus bays: XX
FIRST-LAST MILE:
Pedestrian network completeness: XX%
Protected bike lane coverage: XX%
Feeder bus routes: XX
Wayfinding system: [yes/no]
PHASING:
Phase 1 (0-3 years): Zone A + Station infrastructure
Phase 2 (3-7 years): Zone B + Public realm
Phase 3 (7-12 years): Zone C + Community facilities
Phase 4 (12-20 years): Zone D + Network completionDetailed TOD typology specifications are documented in:
references/tod-typologies.mdThis reference provides 8 complete TOD typology profiles with design parameters, density targets, use mix, street types, parking strategy, and global precedents.
Complete ITDP TOD Standard v3.0 scoring criteria, calculation methodology, and design strategies are documented in:
references/itdp-standard.md© Abhinavbwj, 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 2 other files (references) in skills/tod-design of Abhinavbwj/Urban-Design-Skills-Claude.
Open the folder on GitHubat commit 666327b
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 Abhinavbwj/Urban-Design-Skills-Claude, which our catalogue first saw on October 7, 2026.
Tod Design 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 |
|---|---|---|---|---|---|---|
| Tod Design this skillAbhinavbwj/Urban-Design-Skills-Claude | 132 | 1 repos | ~7.9k | Automated safety check: Pass | MIT | |
| Java Coding Standardsaffaan-m/ECC | 276k | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| MCP Developmentcoollabsio/coolify | 63k | 1 repos | ~949 | Automated safety check: Pass | MIT | |
| Orientationthedaviddias/Front-End-Checklist | 74k | — | ~625 | Automated safety check: Pass | MIT | |
| Game Developmentsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Twenty App Entity Developmenttwentyhq/twenty | 58k | — | ~1.8k | Automated safety check: Pass | Custom licence |
affaan-m/ECC
Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout.
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing mobile-first layouts, tablet experiences, fullscreen flows, forms, dashboards, or media interfaces.
sickn33/agentic-awesome-skills
Game development orchestrator. An agent skill from sickn33/agentic-awesome-skills.
twentyhq/twenty
Guides changes to an existing Twenty app: adding or editing objects, layouts, logic functions and front components, with a plan stated before multi-entity edits.
ccusage/ccusage
Guides ccusage monorepo development. An agent skill from ccusage/ccusage.
Abhinavbwj/Urban-Design-Skills-Claude
Estimate construction costs, infrastructure costs, soft costs, and total development costs for urban design projects.
Abhinavbwj/Urban-Design-Skills-Claude
Python computational tools for urban design metric calculations including density, FAR, walkability scoring, parking requirements, green space analysis, and block optimization.
Abhinavbwj/Urban-Design-Skills-Claude
Design urban blocks and optimize density using typological analysis, FAR calculations, and building configuration strategies.
Abhinavbwj/Urban-Design-Skills-Claude
Evaluate urban designs against comprehensive criteria drawn from all major global standards, certification systems, and theoretical frameworks.
Abhinavbwj/Urban-Design-Skills-Claude
Comprehensive mobility and transport planning for urban design including trip generation, mode split targets, street network connectivity, transit planning, cycling network design, pedestrian…
Abhinavbwj/Urban-Design-Skills-Claude
Research and analyze urban design precedents systematically.
Design transit-oriented developments using ITDP TOD Standard, global best practices, and density-distance gradient principles. Tod Design is an agent skill from Abhinavbwj/Urban-Design-Skills-Claude. Design transit-oriented developments using ITDP TOD Standard, global best practices, and density-distance gradient principles.
Tod Design fits situations like: the user asks to design around a transit station; create a TOD plan; optimize development near transit; plan a transit district.
Run `npx skills add Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a claude-code`. Or copy the skill folder (skills/tod-design in Abhinavbwj/Urban-Design-Skills-Claude) into .claude/skills/tod-design in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a codex`. Or copy the skill folder (skills/tod-design in Abhinavbwj/Urban-Design-Skills-Claude) into .agents/skills/tod-design 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 Abhinavbwj/Urban-Design-Skills-Claude --skill tod-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tod-design, .gemini/skills/tod-design, .github/skills/tod-design and .opencode/skills/tod-design in your project.
SKILL.md names no scripts, command-line tools or credentials: Tod Design is instructions for the agent only.
SKILL.md names 8 domains. As links in the text: itdp.org, trb.org, transit.dot.gov, uli.org, reconnectingamerica.org, mtr.com.hk, ura.gov.sg and c40.org. 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.
Tod Design is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 7.9k tokens (SKILL.md is roughly 31k 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 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Tod Design: Java Coding Standards (affaan-m/ECC, 276k stars), MCP Development (coollabsio/coolify, 63k stars), Orientation (thedaviddias/Front-End-Checklist, 74k stars) and Game Development (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Abhinavbwj (a GitHub user) maintains it in Abhinavbwj/Urban-Design-Skills-Claude, which has 132 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on March 12, 2026.
Source: Abhinavbwj/Urban-Design-Skills-Claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.