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Sea-Go

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@sea-go

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7Public Repos
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18Published Skills

Offers structured itinerary generation and multi-level validation logic for complex travel planning using graph-based data modeling.

Skills Distribution
DomainBusiness, Fi...Itinerary Generation (40%)Constraint Validat.. (40%)Data Normalization (20%)

Agent Skills by Sea-Go

Showing 18 vetted skills indexed across 1 GitHub repositories.

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98

travel-planning-workflow

Orchestrate a thirteen-step travel planning workflow in Neo4j to generate multi-day itineraries.

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Advanced
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review-output

Review travel itineraries for completeness, factual accuracy, and formatting compliance.

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Advanced
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review-phase-level

Validate phase-level climate, geographic, and budget constraints with structured scores.

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Intermediate
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review-thinking

Evaluate travel planning thinking_result for requirement coverage and reasoning quality.

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Advanced
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98

global-search

Query Zhihu's global_search API and normalize results into JSON.

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Intermediate
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review-workflow

Audit travel coordination plans against a seven-step workflow checklist.

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Advanced
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review-week-level

Analyze Week node and Day summaries to detect weekly travel constraint violations.

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Advanced
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review-poi-level

Audits POI nodes for geographic validation,Cybersecurity, weather backup presence, endorsement, and Centrelink cost validity.

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Advanced
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slow-travel-planner

Plan city slow-travel itineraries with POI standardization and route validation.

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Advanced
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review-month-level

Evaluate Month nodes for week count, weather severity, budget, and regional coverage violations.

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Advanced
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travel-requirement-merge

Parse follow-up replies and merge updates into TravelRequirementSnapshot fields.

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Intermediate
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travel-requirement-intake

Extract structured travel planning requirements from user messages into JSON.

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Intermediate
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review-content

Score travel planning content depth with rubric-based assessments and actionable recommendations.

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Advanced
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travel-answer-format

Format final travel itineraries with YAML frontmatter and Markdown sections.

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Intermediate
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bilibili-search

Search Bilibili travel videos and return structured metadata via bilibili_api.

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Intermediate
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review-trip-level

Validate TripPlan budgets, cadence, coverage, and weather risk against annual constraints.

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Advanced
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review-laziness

Audit AI agent drafts for lazy patterns and output structured severity reports.

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Intermediate
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zhihu-search

Search Zhihu answers and articles via API and return structured JSON results.

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Intermediate

Frequently Asked Questions About Sea-Go

FAQPage Schema
What specific tasks can Sea-Go perform for travel planning?

Sea-Go enables the orchestration of multi-step travel itineraries, extraction of user requirements into structured JSON, and rigorous auditing of plans. It performs POI-level geographic validation, budget constraint checking, and content depth scoring to ensure itineraries meet specific formatting and factual accuracy standards.

Which technical personas benefit from using these capabilities?

Travel technology engineers, data architects, and content platform developers benefit from these capabilities. The system is designed for those building itinerary generation engines who require structured validation logic, graph-based node analysis, and normalized data ingestion from external social and video search sources.

What are the primary dependencies for implementing Sea-Go?

Implementation requires a Neo4j graph database environment to store and query travel nodes. Additionally, the system relies on external search connectivity for Zhihu and Bilibili data ingestion, requiring valid access to those platforms' search interfaces to normalize metadata into the required JSON format.