public-space-design
public-space-design is an Unclassified skill for AI agents, published by Abhinavbwj in the Urban-Design-Skills-Claude repository on GitHub. Skillspace rates public-space-design D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Design parks, plazas, waterfronts, pocket parks, civic spaces, playgrounds, and urban gardens using Jan Gehl quality criteria, PPS placemaking methodology, and global best practices. Use when the user asks to design a park, create a plaza, plan a waterfront, design a civic space, lay out a playground, plan a community garden, create an outdoor gathering space, design a public realm strategy, or improve an existing public space. Also use when discussing public space programming, activation strategies, or landscape design at the urban scale.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 115
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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