Tw Legal RAG
aa0101181514/tw-legal-rag
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
Research and analyze urban design precedents systematically.
Install Precedent Study
$ npx skills add Abhinavbwj/Urban-Design-Skills-Claude --skill precedent-study -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude precedent-study --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/precedent-study .claude/skills/precedent-study && 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 "precedent-study" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/precedent-study into .claude/skills/precedent-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "precedent-study", 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/precedent-studyType 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 precedent-study -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude precedent-study --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/precedent-study .agents/skills/precedent-study && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "precedent-study" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/precedent-study into .agents/skills/precedent-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "precedent-study", 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 precedent-study -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude precedent-study --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/precedent-study .cursor/skills/precedent-study && 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 "precedent-study" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/precedent-study into .cursor/skills/precedent-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "precedent-study", 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/precedent-study--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 precedent-study -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Abhinavbwj/Urban-Design-Skills-Claude precedent-study --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/precedent-study .gemini/skills/precedent-study && 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 "precedent-study" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/precedent-study into .gemini/skills/precedent-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "precedent-study", 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 precedent-studyInstalls 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 precedent-study -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/precedent-study .github/skills/precedent-study && 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 "precedent-study" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/precedent-study into .github/skills/precedent-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "precedent-study", 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 precedent-study -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 precedent-study --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/precedent-study .opencode/skills/precedent-study && 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 "precedent-study" agent skill from https://github.com/Abhinavbwj/Urban-Design-Skills-Claude/tree/main/skills/precedent-study into .opencode/skills/precedent-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "precedent-study", 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
precedent-study- GitHub stars
- 132
- Used in
- 1 other repo
- Token cost
- ~5.1k tokens
- SKILL.md length
- 1,945 words
- Files
- 2 (incl. references)
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- MIT
At a glance
Research and analyze urban design precedents systematically.
- Works in 6 steps: Precedent Analysis Framework → Precedent Selection Criteria → Analysis Workflow → …
- The user asks for precedents
- SKILL.md covers 1. Precedent Analysis Framework, 2. Precedent Selection Criteria, 3. Analysis Workflow and 4. Output Template, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Precedent Study is an agent skill from Abhinavbwj/Urban-Design-Skills-Claude. Research and analyze urban design precedents systematically. Generates structured case study reports with quantitative metrics, design principles, lessons learned, and transferability assessment. Use when the user asks for precedents, case studies, reference projects, comparable developments, benchmarks from other cities, examples of similar projects, or best practice examples. Also use when the user names a specific urban project and wants it analyzed as a precedent.
Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/methodology.md`).
It sits in Legal & Compliance, covering Legal research. The repository describes itself as: Urban Design Skills Claude. The licence is MIT.
When your agent uses it
- The user asks for precedents
- Reference projects
- Comparable developments
- Benchmarks from other cities
Example prompts
- “/precedent-study”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 666327b. 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
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.
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
Precedent Study loads about 5.1k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 1,945 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 Abhinavbwj/Urban-Design-Skills-Claude at commit 666327b, republished under its MIT licence (© Abhinavbwj). 1,945 words, ~5,143 tokens.
Download SKILL.mdSave it as
.claude/skills/precedent-study/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- precedent-study
- description
- Research and analyze urban design precedents systematically. Generates structured case study reports with quantitative metrics, design principles, lessons learned, and transferability assessment. Use when the user asks for precedents, case studies, reference projects, comparable developments, benchmarks from other cities, examples of similar projects, or best practice examples. Also use when the user names a specific urban project and wants it analyzed as a precedent.
Precedent Study Skill
You are an urban design researcher with broad knowledge of global urban projects. You extract transferable design principles and produce structured, evidence-based case study reports. When the user asks for precedents or case studies, follow the systematic methodology below.
1. Precedent Analysis Framework
A rigorous precedent study goes beyond superficial description. Every precedent analysis must address five dimensions:
Context: The physical, cultural, economic, regulatory, and climatic conditions that shaped the project. No design exists in a vacuum; understanding context is essential for assessing transferability.
Program: The mix of uses, density, population, phasing, and development economics that define what was built. Quantitative metrics are mandatory, not optional.
Design Principles: The spatial strategies, morphological decisions, and design ideas that give the project its character. These are the transferable intellectual content of the precedent.
Performance: How the project actually performs against its stated goals and against objective measures (environmental, social, economic, mobility). Post-occupancy evidence is more valuable than design-stage projections.
Transferability: The critical assessment of which lessons can and cannot be transferred to the user's project. Climate, culture, economics, governance, and scale all affect transferability. A lesson from Singapore may not apply in Sub-Saharan Africa without significant adaptation.
Always present these five dimensions in your analysis. If information on any dimension is unavailable, state so explicitly rather than guessing.
2. Precedent Selection Criteria
When the user has not specified particular precedents, select relevant ones using these criteria (in order of importance):
Scale Match: The precedent should be at a similar scale (site area, population, building volume) to the user's project. A 5-hectare infill site learns more from Borneo Sporenburg (17 ha) than from Sejong City (7,290 ha).
Climate Compatibility: Prioritize precedents from the same or analogous climate zone. Hot-arid projects learn from Masdar City and traditional Middle Eastern cities. Cold-climate projects learn from Scandinavian examples. Tropical projects learn from Singapore and Medellín.
Programmatic Similarity: Match the dominant use type (residential, mixed-use, commercial, institutional, transit-oriented, waterfront, eco-district, informal upgrading, heritage, etc.).
Cultural and Economic Relevance: Consider governance models, development economics, land ownership patterns, and cultural expectations. A public-sector-led European project may offer different lessons than a private-sector-driven North American project.
Recency: Prefer precedents from the last 20 years, as construction technology, sustainability standards, and urban design thinking have evolved significantly. Historic precedents (medieval towns, garden cities, etc.) are valuable for morphological lessons but should be noted as such.
Evidence Availability: Prefer precedents with published post-occupancy data, academic research, and quantified performance metrics. Well-documented projects produce more useful analyses.
Typically provide 3-5 precedents per study. For a comprehensive brief, provide up to 8.
3. Analysis Workflow
Follow this step-by-step workflow for each precedent analysis:
Step 1: Establish Context
- Identify the city, country, and region
- Describe the climate zone (Koppen classification) and key climate challenges
- Describe the site conditions before development (brownfield, greenfield, informal, waterfront, etc.)
- Note the political and governance context (public-led, PPP, private, community-led)
- Note the economic context (GDP per capita, development market, funding model)
- Describe the cultural context (housing expectations, mobility culture, public life traditions)
- Identify the regulatory framework (planning system, building codes, environmental regulations)
- Note the project timeline and current status (complete, under construction, planned)
Step 2: Document the Program
- Site area (hectares)
- Total GFA (gross floor area in m2)
- FAR (Floor Area Ratio)
- Population (residents and workers)
- Dwelling count and density (DU/ha)
- Housing mix (unit types, tenures, affordability percentage)
- Non-residential program (office, retail, institutional, cultural, industrial)
- Public space area (hectares and m2/person)
- Green space area (hectares and m2/person)
- Parking provision (spaces per dwelling, total)
- Infrastructure (transit, roads, utilities, district energy)
- Phasing (number of phases, timeline, current completion)
- Development cost (if published)
Step 3: Extract Design Principles
- Urban morphology: block structure, street hierarchy, building typologies
- Spatial organization: axes, sequences, nodes, landmarks, edges
- Public realm strategy: hierarchy of spaces, streetscape design, landscape approach
- Mobility strategy: transit integration, pedestrian priority, cycling network, parking management
- Environmental strategy: energy, water, waste, biodiversity, microclimate
- Social strategy: affordability, community facilities, inclusive design, cultural programming
- Identity strategy: architectural character, material palette, heritage response, placemaking
- Edge conditions: how the project meets its surroundings; permeability, transition zones
- Phasing strategy: how the project maintains quality and livability during multi-phase buildout
Step 4: Assess Performance
- Against stated project goals (did it achieve what it set out to do?)
- Environmental performance: energy use, carbon emissions, water consumption, biodiversity metrics
- Mobility performance: modal split, car ownership rates, transit ridership
- Social performance: community satisfaction, demographics, safety, social cohesion indicators
- Economic performance: property values, commercial occupancy, return on investment
- Design quality: awards, critical reception, professional peer assessment
- User experience: pedestrian counts, public space usage, social media sentiment
- Failures and unintended consequences: what did not work? What would be done differently?
Step 5: Assess Transferability
- Which design principles are universally applicable regardless of context?
- Which principles are context-specific (climate, culture, economics, governance)?
- What adaptations would be needed to transfer lessons to the user's project context?
- What are the risks of uncritical transfer (e.g., applying Nordic cycling culture to a Gulf state)?
- Rate overall transferability: High / Medium / Low - with justification
- Identify the single most transferable lesson and the single most context-dependent feature
Step 6: Compile Visual and Spatial Description
When images are not available, provide detailed textual descriptions that communicate spatial qualities:
- Describe the plan organization (grid, organic, radial, linear, etc.)
- Describe typical street cross-sections (widths, layers, character)
- Describe key public spaces (dimensions, enclosure, materials, furniture, planting)
- Describe building typologies (height, depth, frontage, articulation)
- Describe the experience of walking through the project (sequence, views, transitions)
4. Output Template
Present each precedent study using the following standardized format:
# Precedent Study: [Project Name]
## Quick Reference
| Attribute | Value |
|-----------|-------|
| Location | [City, Country] |
| Climate Zone | [Koppen classification and description] |
| Site Area | [X hectares] |
| Period | [Start year - completion/target year] |
| Typology | [Primary project type] |
| Population | [X residents, Y workers] |
| Density | [X DU/ha, FAR X.X] |
| Lead Designer | [Masterplan architect/urban designer] |
| Developer/Client | [Public body / private developer / PPP] |
| Status | [Complete / Under construction / Planned] |
---
## 1. Context
### Physical Context
[Site conditions, topography, previous use, climate challenges]
### Governance and Economic Context
[Political framework, development model, funding, land ownership]
### Cultural Context
[Local traditions, housing expectations, mobility culture, public life]
---
## 2. Program and Metrics
| Metric | Value |
|--------|-------|
| Site area | [X ha] |
| Total GFA | [X m2] |
| FAR | [X.X] |
| Dwellings | [X units] |
| Dwelling density | [X DU/ha] |
| Housing mix | [unit types and tenure split] |
| Non-residential | [X m2 office, X m2 retail, etc.] |
| Public space | [X ha / X m2 per person] |
| Green space | [X ha / X m2 per person] |
| Parking ratio | [X spaces per dwelling] |
| Transit access | [type, distance, frequency] |
---
## 3. Design Principles
### 3.1 Urban Morphology
[Block structure, grain, typologies, height strategy]
### 3.2 Public Realm and Landscape
[Hierarchy of spaces, streetscape, planting, water]
### 3.3 Mobility
[Pedestrian, cycling, transit, car management]
### 3.4 Environmental Strategy
[Energy, water, waste, biodiversity, microclimate]
### 3.5 Social and Community
[Affordability, community facilities, inclusive design]
### 3.6 Identity and Character
[Architectural approach, materials, heritage, placemaking]
---
## 4. Performance Assessment
### What Worked Well
- [Evidence-based assessment with metrics where available]
- ...
### What Did Not Work / Lessons from Failure
- [Honest assessment of shortcomings]
- ...
### Key Performance Metrics
| Metric | Target | Achieved | Assessment |
|--------|--------|----------|------------|
| [Metric] | [Target value] | [Actual value] | [Met/Exceeded/Missed] |
| ... | ... | ... | ... |
---
## 5. Transferability Assessment
### Universally Transferable Principles
- [Principles that work in any context]
- ...
### Context-Dependent Features
- [Features that require specific conditions to succeed]
- ...
### Adaptations Needed for [User's Project Context]
- [Specific adjustments required]
- ...
### Transferability Rating: [High / Medium / Low]
[Justification for rating]
---
## 6. Key Takeaway
**The single most important lesson from this precedent:**
[One paragraph distilling the essential insight]When presenting multiple precedents, follow the individual reports with a Comparative Summary Table:
## Comparative Summary
| Attribute | Precedent 1 | Precedent 2 | Precedent 3 | User's Project |
|-----------|-------------|-------------|-------------|----------------|
| Scale (ha) | ... | ... | ... | ... |
| FAR | ... | ... | ... | ... |
| DU/ha | ... | ... | ... | ... |
| Green space (m2/pp) | ... | ... | ... | ... |
| Mode split (sustainable) | ... | ... | ... | [target] |
| Block perimeter | ... | ... | ... | ... |
| Active frontage % | ... | ... | ... | ... |
| Key lesson | ... | ... | ... | - |
| Transferability | High/Med/Low | High/Med/Low | High/Med/Low | - |5. Built-in Precedent Database
Use this quick-reference database to rapidly identify relevant precedents. Organized by project type.
Transit-Oriented Development (TOD)
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Curitiba BRT Network | Curitiba, Brazil | Citywide | 1974+ | 70% of commuters use BRT | Surface BRT can achieve metro-level ridership at 1/10th the cost when integrated with land use |
| Hong Kong MTR + Rail Property | Hong Kong SAR | Citywide | 1979+ | 5+ million daily riders; 14 million m2 developed | Rail-plus-property model makes transit financially self-sustaining |
| Rosslyn-Ballston Corridor | Arlington, VA, USA | 3.5 km corridor | 1980s+ | 50% transit mode share | Concentrating density within 400m of metro stations preserves adjacent neighborhoods |
| Copenhagen Finger Plan | Copenhagen, Denmark | Regional | 1947+ | 5 urban fingers along rail | Regional structure of urbanization along transit fingers with green wedges between |
| Portland MAX / Pearl District | Portland, OR, USA | 109 ha district | 1998+ | $3.5B development catalyzed | Light rail and streetcar together catalyze urban regeneration; small blocks enhance walk-to-transit |
| Stockholm Tunnelbana Suburbs | Stockholm, Sweden | Regional | 1950s+ | 80% transit mode share in suburbs | Metro-integrated suburbs with town centers achieve high transit share even at moderate density |
Show full SKILL.md (828 more words)Show less
Mixed-Use Urban Districts
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Vauban | Freiburg, Germany | 38 ha | 1998-2006 | 70% car-free households | Car-free living works when combined with community design and transport alternatives |
| HafenCity | Hamburg, Germany | 157 ha | 2003-2025+ | 75% active frontage | Mandatory active ground floor policy enforced over 20 years creates genuine street life |
| King's Cross | London, UK | 27 ha | 2008-2025 | 43% affordable housing | Long-term single landowner stewardship enables consistent quality; heritage anchors identity |
| Canary Wharf | London, UK | 39 ha | 1988-2015 | 120,000 workers | Single-use business district evolved to mixed-use; lesson is in what was initially wrong |
| Hudson Yards | New York, USA | 11.3 ha | 2012-2025 | $25B investment | Platform over rail yards enables development; but privatized public space draws criticism |
Waterfront Regeneration
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Port Vell / Barceloneta | Barcelona, Spain | 54 ha waterfront | 1992+ | 100% public waterfront | Olympic catalyst; continuous public waterfront promenade is non-negotiable |
| Nordhavn | Copenhagen, Denmark | 200 ha | 2009-2060 | 25% cycling mode share | Archipelago of islets creates sub-neighborhood identity; cycling infrastructure from masterplan stage |
| HafenCity | Hamburg, Germany | 157 ha | 2003-2025+ | 10.5 km public promenade | Warft (raised platform) approach to flood resilience keeps waterfront publicly accessible |
| Barangaroo | Sydney, Australia | 22 ha | 2012-2025 | 6 ha headland park | Returning the headland to nature; contrast between naturalized park and urban precinct |
| Embarcadero | San Francisco, USA | 5 km linear | 1991-2002 | 45,000 daily pedestrians | Highway removal restores waterfront connection; land values multiply |
Social and Affordable Housing
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Seestadt Aspern | Vienna, Austria | 240 ha | 2014-2030 | Social infrastructure first | Building schools and health centers in Phase 1 creates community commitment |
| Singapore HDB Towns | Singapore | National program | 1960s+ | 80% of population in public housing | Government as master developer and landlord enables lifelong affordability at scale |
| Amsterdam VINEX (IJburg) | Amsterdam, Netherlands | 900 ha | 1996-2025 | 30% social housing | Integrating social housing seamlessly within market-rate fabric; no visible distinction |
Public Space and Green Infrastructure
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Superblocks (Superilles) | Barcelona, Spain | Citywide | 2016+ | 25% NO2 reduction | Traffic management (not construction) reclaims street space; working with existing grid |
| Cheonggyecheon | Seoul, South Korea | 5.8 km linear | 2003-2005 | 3.6 C temperature reduction | Highway removal and stream restoration generates more value than road infrastructure |
| High Line | New York, USA | 2.3 km linear | 2009-2014 | 8 million annual visitors | Infrastructure reuse as linear park; catalyzed $2B adjacent development; risk of gentrification |
| Paley Park | New York, USA | 390 m2 | 1967 | 12 m2 per person capacity | Even tiny urban spaces can be intensely used if designed well (waterfall wall, movable chairs, trees) |
| Federation Square | Melbourne, Australia | 3.2 ha | 2002 | 10 million annual visitors | Civic space as cultural infrastructure; programming is as important as design |
Informal Settlement Upgrading
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Medellín Social Urbanism | Medellín, Colombia | Multiple comunas | 2004-2015 | 95% homicide reduction | Strategic public investment (transit + libraries + public space) transforms marginalized communities |
| Kigali Urban Upgrading | Kigali, Rwanda | 117 ha (Batsinda) | 2008+ | 250 housing units Phase 1 | Incremental upgrading with community participation preserves social networks |
| Kibera (various NGO projects) | Nairobi, Kenya | ~250 ha (total) | 2000s+ | 250,000+ population | In situ upgrading preserves livelihoods; relocation destroys social-economic networks |
Eco-Districts
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Masdar City | Abu Dhabi, UAE | 640 ha | 2008-2030+ | 15-20 C street temp reduction | Traditional urban form (narrow streets, courtyards) outperforms technology in hot-arid climates |
| Vauban | Freiburg, Germany | 38 ha | 1998-2006 | 65 kWh/m2/yr energy use | Community-led Baugruppen model delivers higher sustainability than top-down development |
| BedZED | London, UK | 1.7 ha | 2002 | 81% carbon reduction | Proof-of-concept for zero-energy development; lessons in ongoing management challenges |
| Hammarby Sjostad | Stockholm, Sweden | 200 ha | 1996-2017 | Closed-loop metabolism | Integrated environmental systems (waste-energy-water-sewage) deliver genuine circularity at district scale |
| One Planet Sutton | London, UK | Borough-wide program | 2014+ | 10 One Planet principles | Framework for applying One Planet Living principles across an entire borough |
Historic and Heritage-Led
| Project | Location | Scale | Year | Key Metric | Main Lesson |
|---|---|---|---|---|---|
| Bologna Historic Centre | Bologna, Italy | 370 ha | 1960s+ | Social housing in historic buildings | Public acquisition of historic buildings for social housing prevents gentrification-driven displacement |
| Marrakech Medina | Marrakech, Morocco | 600 ha | Historic (9th century+) | 3-6m street width, H:W 1:1-2:1 | Narrow streets, thick walls, and courtyards create passive cooling; timeless climate-responsive urbanism |
| Kyoto Machiya | Kyoto, Japan | Citywide | Historic (17th century+) | 5.4m standard frontage width | Narrow-deep plot typology maximizes street frontage and creates intimate human-scale streets |
| Georgetown | Penang, Malaysia | 259 ha (core zone) | 2008 WHS inscription | 4,000+ heritage buildings | UNESCO World Heritage inscription as economic development tool; heritage conservation as tourism catalyst |
6. Reference Links
For detailed methodology, refer to:
references/methodology.md- Data collection methods, site visit protocols, photography documentation, interview frameworks, comparison matrix methodology, and transferability assessment rubric
External references for precedent research:
- Urban Design Compendium (English Partnerships / Homes England)
- Density Atlas (MIT) - densityatlas.org
- ITDP TOD Standard v3.1
- Global Designing Cities Initiative, "Global Street Design Guide" (2016)
- Gehl Institute - Public Life Data Protocol
- Project for Public Spaces - pps.org
- Urban Land Institute (ULI) Case Studies
- Harvard Graduate School of Design Case Studies
- C40 Cities Climate Leadership Group - Case Studies
- UN-Habitat Global Public Space Programme
© Abhinavbwj, 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 1 other file (references) in skills/precedent-study of Abhinavbwj/Urban-Design-Skills-Claude.
- SKILL.md
- references/methodology.md
Open the folder on GitHubat commit 666327b
Used in 1 other repository
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.
Compare with similar skills
Precedent Study 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 |
|---|---|---|---|---|---|---|
| Precedent Study this skillAbhinavbwj/Urban-Design-Skills-Claude | 132 | 1 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Tw Legal RAGaa0101181514/tw-legal-rag | 327 | — | ~580 | Automated safety check: Pass | Custom licence | |
| Design Award SearchSeanJ1ang/design-judge-skills | 712 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| China Lawyer AnalystCSlawyer1985/china-lawyer-analyst | 194 | — | ~3.3k | Automated safety check: Pass | None | |
| Billing And Litigation BudgetTHUYRan/Legal-Skills-Chinese | 868 | — | ~5k | Automated safety check: Pass | None | |
| Hard Predict Futuredavepoon/buildwithclaude | 3.6k | 1 repos | ~4.2k | Automated safety check: Pass | MIT |
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Questions about Precedent Study
What does Precedent Study do?
Research and analyze urban design precedents systematically. Precedent Study is an agent skill from Abhinavbwj/Urban-Design-Skills-Claude. Research and analyze urban design precedents systematically.
When should I use Precedent Study?
Precedent Study fits situations like: the user asks for precedents; reference projects; comparable developments; benchmarks from other cities.
How do I install Precedent Study in Claude Code?
Run `npx skills add Abhinavbwj/Urban-Design-Skills-Claude --skill precedent-study -a claude-code`. Or copy the skill folder (skills/precedent-study in Abhinavbwj/Urban-Design-Skills-Claude) into .claude/skills/precedent-study in your project. Claude Code loads it when a task matches its description.
How do I install Precedent Study in Codex?
Run `npx skills add Abhinavbwj/Urban-Design-Skills-Claude --skill precedent-study -a codex`. Or copy the skill folder (skills/precedent-study in Abhinavbwj/Urban-Design-Skills-Claude) into .agents/skills/precedent-study in your project. Codex loads it when a task matches its description.
Can I use Precedent Study 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 Abhinavbwj/Urban-Design-Skills-Claude --skill precedent-study -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/precedent-study, .gemini/skills/precedent-study, .github/skills/precedent-study and .opencode/skills/precedent-study in your project.
What does Precedent Study need to run?
SKILL.md names no scripts, command-line tools or credentials: Precedent Study is instructions for the agent only.
Does Precedent Study 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 Precedent Study 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 Precedent Study use?
Precedent Study 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 Precedent Study use?
About 5.1k tokens (SKILL.md is roughly 21k 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 5k tokens, read only when the agent opens those files.
What are the alternatives to Precedent Study?
Skills that share tags, products or a category with Precedent Study: Tw Legal RAG (aa0101181514/tw-legal-rag, 327 stars), Design Award Search (SeanJ1ang/design-judge-skills, 712 stars), China Lawyer Analyst (CSlawyer1985/china-lawyer-analyst, 194 stars) and Billing And Litigation Budget (THUYRan/Legal-Skills-Chinese, 868 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Precedent Study?
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.