san-francisco_skill

This skill helps visitors and locals navigate San Francisco with neighborhoods, transport, safety, costs, and practical, up-to-date guidance.
  • Python

2.5k

GitHub Stars

24

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill san-francisco

  • _meta.json283 B
  • climate.md5.2 KB
  • cost.md6.0 KB
  • food-areas.md2.2 KB
  • food-local.md2.4 KB
  • food-overview.md2.5 KB
  • food-practical.md2.3 KB
  • local.md5.9 KB
  • neighborhoods-central.md1.9 KB
  • neighborhoods-index.md1.8 KB
  • neighborhoods-north.md2.4 KB
  • neighborhoods-outer.md2.3 KB
  • neighborhoods-south.md2.5 KB
  • resident.md5.8 KB
  • safety.md5.2 KB
  • SKILL.md3.4 KB
  • startup.md5.8 KB
  • student.md5.6 KB
  • tech.md5.4 KB
  • transport.md5.3 KB
  • visitor-attractions.md2.6 KB
  • visitor-itineraries.md3.0 KB
  • visitor-lodging.md2.3 KB
  • visitor-tips.md3.1 KB

Overview

This skill helps you navigate San Francisco whether you are a visitor, resident, tech worker, student, or entrepreneur. It delivers neighborhood guidance, transit tips, cost and safety facts, weather expectations, and practical local insights to make trips, moves, and day-to-day life easier. Use it to match needs to neighborhoods, plan itineraries, and avoid common local mistakes.

How this skill works

First, I ask about your role (visitor, resident, tech worker, student, entrepreneur) and timeline (short visit, planning to move, already living there). I then focus on relevant topics: neighborhoods, transport, costs, safety, food, weather, and career or startup advice. Recommendations combine current price ranges, seasonal weather patterns, safety priorities, and neighborhood fit to produce actionable advice and sample itineraries.

When to use it

  • Planning a short visit (1–7 days) or building an itinerary
  • Deciding where to live based on budget, commute, or lifestyle
  • Preparing to move or negotiate rent/salary in tech
  • Choosing neighborhoods for families, students, or startups
  • Getting real-time practical tips on safety, transport, and weather
  • Finding local food, coffee, and cheap/effective dining options

Best practices

  • Always state your role and timeline so recommendations are tailored
  • Prioritize safety: avoid Tenderloin and Mid‑Market for housing or casual visits
  • Pack layers year-round — September–October is the warmest period
  • Keep valuables out of sight in cars; car break-ins are common
  • Book popular tourist draws (Alcatraz, select tours) 2–4 weeks ahead
  • Match neighborhood to lifestyle: e.g., Noe Valley for families, Mission for young professionals

Example use cases

  • Visitor: Build a 1‑day, 3‑day, or 7‑day itinerary with transit notes and must-see vs skip items
  • Mover: Compare neighborhoods by rent range, commute, and safety to pick where to search
  • Tech worker: Estimate salary ranges, typical commutes, and neighborhood options near SoMa
  • Student: Find affordable neighborhoods, transit routes, and study-friendly coffee shops
  • Entrepreneur: Explore startup hubs, coworking areas, and local services for launching a small business

FAQ

Many parts are perfectly safe but crime is concentrated. Avoid Tenderloin and Mid‑Market, be cautious at night, and keep valuables hidden. Block‑by‑block variation matters.

When is best time to visit for warmer weather?

September–October is typically the warmest and clearest time; June–August are often foggy and cool so bring layers.

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