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在 OpenClaw 中安装
/install london
功能描述
Navigate London as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, safety, and local insights.
使用说明 (SKILL.md)
When to Use
User asks about London for any purpose: visiting, moving, working, studying, or starting a business. Agent provides practical guidance with current data.
Quick Reference
| Topic | File |
|---|---|
| Visitors | |
| Attractions (must-see vs skip) | visitor-attractions.md |
| Itineraries (1/3/7 days) | visitor-itineraries.md |
| Where to stay | visitor-lodging.md |
| Tips & day trips | visitor-tips.md |
| Neighborhoods | |
| Quick comparison | neighborhoods-index.md |
| Central (Zone 1) | neighborhoods-central.md |
| East London | neighborhoods-east.md |
| South London | neighborhoods-south.md |
| West London | neighborhoods-west.md |
| North London | neighborhoods-north.md |
| Choosing guide | neighborhoods-choosing.md |
| Food | |
| Overview & restaurants | food-overview.md |
| British classics | food-traditional.md |
| Markets | food-markets.md |
| Best areas | food-areas.md |
| Pubs | food-pubs.md |
| Dietary & tips | food-practical.md |
| Practical | |
| Moving & settling | resident.md |
| Transport | transport.md |
| Cost of living | cost.md |
| Safety | safety.md |
| Weather | climate.md |
| Local services | local.md |
| Career | |
| Tech industry | tech.md |
| Students | student.md |
| Startups | startup.md |
Core Rules
1. Identify User Context First
- Role: Tourist, resident, tech worker, student, entrepreneur
- Timeline: Short visit, planning to move, already there
- Load relevant auxiliary file for details
2. Safety Context
London is very safe. Main concerns:
- Pickpocketing (#1 risk)
- Phone snatching
- Tourist scams
See
safety.mdfor area-specific guidance.
3. Weather Expectations
- Rains LESS than NYC (just spread as drizzle)
- Pack layers + waterproof jacket
- Summer is warm (July avg 24°C)
- Winter is grey but mild
4. Current Data
| Item | Range |
|---|---|
| 1BR rent | £1,500-2,200 (Zone 2) |
| Senior SWE salary | £100K-160K total comp |
| Student budget | £1,300-2,000/month |
| Tube daily cap | £8.60 (Zones 1-2) |
5. Tourist Traps
- Skip: London Eye, Madame Tussauds, Leicester Square
- Do: Free museums, Borough Market, West End shows
- Free views: Sky Garden, Horizon 22 (book ahead)
6. Transit Over Driving
- Tube + bus covers everything
- Contactless = Oyster prices (no card needed)
- Citymapper app essential
- Congestion + ULEZ make driving expensive
7. Neighborhood Matching
| Profile | Best Areas |
|---|---|
| Young professionals | Shoreditch, Clapham, Brixton, Hackney |
| Families | Greenwich, Dulwich, Chiswick, Richmond |
| Budget-conscious | Stratford, Lewisham, Walthamstow, Peckham |
| Tech workers | Shoreditch, Hackney, King's Cross area |
London-Specific Traps
- "Always rains" — Less than NYC. Pack layers, not heavy gear.
- London Eye — £40+ for mediocre views. Sky Garden is FREE.
- Leicester Square — Tourist trap. Walk to Soho/Chinatown.
- Oyster cards — Contactless works same price.
- Zone 1 living — Expensive, unnecessary. Zone 2-3 is better.
安全使用建议
This skill is a large static guide about London and appears coherent with its description. It does not request credentials or install anything, so the security risk from the skill itself is low. Before relying on numeric items flagged as 'current data' (fare caps, rent ranges, salaries, prices), verify them against official or up-to-date sources (TfL, landlord listings, NHS, recent market listings), since static guides can become stale. If you need live lookups (real-time fares, timetables, or availability), prefer dedicated official APIs or websites rather than assuming the skill's static figures are authoritative.
功能分析
Type: OpenClaw Skill
Name: london
Version: 1.0.0
This skill bundle is a comprehensive informational guide about London, consisting entirely of markdown files and a metadata JSON. The `SKILL.md` and other 'Summary for AI Agent' sections provide instructions for the agent on how to retrieve and present information, all strictly within the stated purpose of answering questions about London. There is no executable code, no suspicious external links, no obfuscation, and no instructions that suggest data exfiltration, persistence, or unauthorized command execution. The `_meta.json` explicitly states `"bins":[]`, indicating no external binaries are required, which further limits potential attack vectors. All content is aligned with providing helpful, factual information.
能力评估
Purpose & Capability
Name/description (London guidance for visitors/residents/tech workers/students/entrepreneurs) matches the provided content: a large set of topical markdown files covering neighbourhoods, transport, costs, safety, food, and practical local services. There are no unrelated requirements (no cloud credentials, no unrelated tooling).
Instruction Scope
SKILL.md directs the agent to identify user context and load the included auxiliary files; all referenced files exist in the bundle. Instructions do not ask the agent to read system files, access other services, or exfiltrate data. The note 'provide practical guidance with current data' is ambiguous about live fetching, but the skill itself contains static 'current data' values and provides no network/integration steps.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be written to disk or downloaded by the skill itself.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. SKILL.md and content do not reference secrets or external tokens.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request permanent presence or elevated privileges, nor does it instruct modifications to other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install london - 安装完成后，直接呼叫该 Skill 的名称或使用
/london触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
London 是什么？
Navigate London as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, safety, and local insights. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 495 次。
如何安装 London？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install london」即可一键安装，无需额外配置。
London 是免费的吗？
是的，London 完全免费（开源免费），可自由下载、安装和使用。
London 支持哪些平台？
London 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 London？
由 Iván（@ivangdavila）开发并维护，当前版本 v1.0.0。
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