HelloBike Travel Skill for Openclaw

Openclaw Skills helps you choose the best bike-sharing option in China, optimize ride-pass value, and handle HelloBike pricing or dispute questions.

zhangifonly
v1.0.0
Jul 11, 2026
0
597
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install hellobicycle

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install hellobicycle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is HelloBike Travel Skill?

Openclaw Skills for HelloBike is a practical mobility decision guide for China’s shared-bike market. It helps users compare the three major brands — HelloBike, Meituan Bike, and Didi Qingju — using city coverage, app entry points, ecosystem binding, and service density.

It also covers HelloBike’s broader ecosystem, including rental bikes, e-bikes, shunfengche-style services, and Zhima deposit-free eligibility. The skill is designed to turn app-level pricing and policy details into a fast, safety-aware recommendation for commuting, travel, and fee handling.

HelloBike Travel Skill Use Cases

  • Choosing the best bike-share brand based on your city, district, and local coverage density.
  • Deciding whether a ride pass is worth buying based on monthly ride frequency and per-trip cost.
  • Comparing HelloBike vs Meituan Bike vs Didi Qingju before a commute or trip.
  • Evaluating HelloBike ecosystem services such as rentals, e-bikes, and shunfengche options.
  • Handling disputes like lingering charges, out-of-bound return fees, or auto-renew surprises.
  • Checking whether Zhima deposit-free eligibility applies before you unlock a bike.

How HelloBike Travel Skill Works

  1. Collect trip context: city, district, distance, ride frequency, time of day, and whether the user needs a shared bike, e-bike, rental, or carpool.
  2. Compare operators: evaluate HelloBike, Meituan Bike, and Didi Qingju using coverage density, app entry, and ecosystem binding.
  3. Estimate economics: calculate ride-pass value by comparing monthly rides times average ride cost against the pass price.
  4. Evaluate special services: assess HelloBike shunfengche, rental, e-bike, and Zhima deposit-free conditions with conservative safety checks.
  5. Resolve exceptions: inspect order details, map boundaries, screenshots, and receipts to determine whether a fee appeal is justified.
  6. Apply safety and timing rules: treat prices as real-time app data, keep night and long-distance guidance conservative, and avoid bypass or fraud methods.

HelloBike Travel Skill Setup

  1. Install or open the relevant consumer apps: HelloBike, Meituan, Didi, and Alipay.
  2. Grant location, payment, and notification permissions so coverage and pricing can be evaluated accurately.
  3. Link Alipay and, if needed, Zhima for deposit-free unlocking.
  4. Record your usual city, commute zone, and recent ride frequency before asking for a ride-pass recommendation.
  5. Save screenshots, order IDs, parking locations, and receipts before raising a fee dispute.

No local CLI installation is required; Openclaw Skills is used as a workflow guide rather than a software package.

HelloBike Travel Skill Data Schema & Taxonomy

This skill is decision-support only and does not generate local files by default.

Entity Key fields Purpose
Trip context city, district, commute distance, ride frequency, time of day, weather Determines which operator or service is most practical
Operator comparison operator name, app entry, ecosystem binding, coverage density Compares HelloBike, Meituan Bike, and Didi Qingju
Pricing snapshot single-trip price, pass price, auto-renew flag, current app rate Supports ride-pass ROI and fee checks
Service type shared bike, rental bike, e-bike, shunfengche Selects the right mobility mode
Dispute case charge type, order ID, screenshots, parking boundary, receipt Guides appeals for lingering charges or boundary fees
Safety checklist night travel, long-distance use, route sharing, vehicle inspection Enforces conservative safety guidance

Metadata taxonomy:

  • Brand: HelloBike, Meituan Bike, Didi Qingju
  • Related skills: meituan-bike, didi-bike, zhima
  • Intent: brand comparison, ride-pass economics, dispute handling, safety review
  • Coverage signal: city, district, neighborhood density, app availability
  • Risk level: low, medium, high, based on time sensitivity and safety context

Output artifacts, if saved by the host app:

  • Brand comparison note
  • Ride-pass break-even estimate
  • Dispute evidence checklist
  • Safety and service recommendation

HelloBike Travel Skill Advanced Features

  • Multi-brand decision matrix across HelloBike, Meituan Bike, and Didi Qingju.
  • Ride-pass break-even analysis for frequent commuters and occasional riders.
  • Zhima deposit-free readiness checks before unlock decisions.
  • Dispute triage for lingering charges, boundary returns, and auto-renew billing.
  • Safety-first recommendations for night riding, long-distance use, and shunfengche scenarios.
  • Cross-skill handoff to meituan-bike, didi-bike, and zhima for broader mobility coverage.

SKILL.md


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