I built a Multi‑Agent travel planning app

Image Analysis

Image facts (text and visible UI elements readable from the image):

- Top left: an app icon resembling a small boat; text: "FloatTrip · 轻舟"; subtext: "OPEN SOURCE · MULTI-AGENT TRAVEL".

- Top right: page indicator "01 / 06".

- Main headline (large font): "不是生成一篇攻略， 而是组织一群 Agent 规划旅行" (Chinese; the word "Agent" is in Latin letters).

- Subtitle/flow phrase under headline: "一句话 → 个性化记忆 → 真实 POI → 可编辑地图行程".

- Three colored rounded buttons/labels (left to right): LangGraph (blue), 长期记忆 (long-term memory, yellow/green), 高德真实 POI (Amap real POI, red-orange).

- Main area shows two vertical phone mockups:

- Left phone: status bar time 00:12; app name/icon "轻舟"; large prompt "这次想去哪儿？" with helper text asking for preferences, time and companions to generate a draft; an example input card partially readable (inferred text: "国内两川西自驾游，7天自驾"); a "Recent trips" section with a card titled "川西深度漫游" dated 2026-10-01 — 2026-10-07; bottom tab bar with three icons (likely Home, Trips, Profile).

- Right phone: status bar time 00:14; top map view with markers and route lines (coastal route visible); floating banner above map: "从一句话走到能出发的路线" and subtext "真正可追踪、可编辑、可继续协作"; date timeline below map showing dates like 2026-09-03; daily itinerary card example for 2026-09-03 titled "黄岛海滨休闲一日游"; POI list item 1 shows "1. 金沙滩 09:00 - 11:00" with two action controls (a blue button readable as "给轻舟发送消息" and an "编辑" edit control); right-bottom has a circular "+" add button.

- Bottom-centered tagline: "一个面向真实旅行约束的开源 AI 项目".

Visual/UI notes: light blue and white color scheme, card-style POI lists with timeline/date slider, map-day-route linkage, mobile travel-planning app style.

Unreadable or unclear parts: full text of the left example input card, names/descriptions of POI items beyond the first, labels under bottom tab icons, small icon text and some UI details.

Reasonable inferences (not direct text): the three colored labels likely highlight core product features; user can generate a personalized draft from a single sentence and then edit the map-linked itinerary; the app emphasizes real constraints and collaborative agent workflows.

SkillPI Creation Analysis

Intended use:

- FloatTrip is presented as an open-source project that turns a user’s brief travel input into a practical, editable itinerary by splitting planning tasks across multiple agents. The goal is to produce an itinerary that respects real constraints (POIs, weather, opening hours) and supports iterative edits instead of a one-shot static guide. Repository: https://github.com/shouzhuoshouzhuo/FloatTrip.

Image-based evidence summary:

- The UI shows three feature labels (LangGraph, long-term memory, Amap real POI) and two phone mockups illustrating: (1) a short-text input flow to generate a draft trip and (2) a map-linked day-by-day editable itinerary with POI items (example: "Jinsha Beach 09:00–11:00") and actions like message-to-Agent and edit.

Associated skills and high-level implementation steps (based on the source description, not the repo code):

1) Define agent responsibilities: Planner (generate daily routes from dates/preferences/weather/POI), Reviewer (audit flow, pacing, requirement coverage), Time Check (validate opening hours/closures and detect time-slot conflicts).

2) Integrate real POI data: connect to Amap/Gaode POI APIs and ensure reliable POI metadata.

3) Add weather integration: use a weather API to influence scheduling and risk-aware time slots.

4) Implement a controllable memory store: persist user travel preferences and constraints with ability to view/edit/forget and a rule that current-trip settings override long-term memory.

5) Build agent coordination: implement a feedback loop where Reviewer/Time Check return explicit modification instructions to Planner rather than finalizing a one-shot output.

6) Front-end map and UX: present an editable map-linked daily itinerary UI with POI replacement, time adjustments, route optimization and live agent progress indicators.

Prerequisites for reproduction:

- Access to Amap/Gaode POI API keys and documentation;

- A weather data API for weather-aware scheduling;

- Back-end infrastructure for agent orchestration, messaging, and persistent memory storage;

- Map SDK for mobile/web to render POIs and routes;

- Engineering skills in multi-agent orchestration, API integration, and front-end map interactions.

Items to verify (not fully specified in the source):

- The exact role and integration details of "LangGraph" shown in the UI need confirmation from the repository (the label appears in the image but implementation details are not given).

- Which language models or LLMs (if any) are used, and how they are invoked or hosted are not specified.

- Memory storage format, synchronization strategy, privacy and retention policies are not described and should be checked in the code/docs.

- The source(s) for opening hours/closure data and their update frequency need verification to ensure Time Check accuracy.

- Full stack, dependencies and deployment steps should be reviewed in the GitHub repo before attempting reproduction.

Note: This interpretation is based on the provided summary and the UI evidence in the image; it does not claim code-level reproduction. For implementation details and to validate the above points, refer to the project repository: https://github.com/shouzhuoshouzhuo/FloatTrip.