Synaptic SkillsSynapticSkills
MarketplaceSkill GraphCriar SkillMCP ServerPlataformaEnterprise
v0.1.0-beta
Voltar ao Marketplace
AgentsAvançado

Travel Research Flow

porlijigang·lijigang· v1.0.0 · atualizado em 2026-04-10
82
Score

Performs in-depth travel research for museums and ancient architecture. Given a city name, it generates a structured knowledge document (org-mode) and portable reference cards (PNG) covering historical background, museum highlights, archaeological significance, and architectural heritage. Use when the user expresses intent to research travel, museums, or ancient architecture, or provides a city name for cultural travel preparation.

travel-planningcultural-heritageresearch-agentcontent-creationorg-modeknowledge-managementmuseumsarchitecture
Linguagens
multi-language
0Stars
0Forks
0Usos
Fork

Documento do Skill

SKILL.mdljg-travel/workflow
1
Parse Parameters: — Extract city name and optional focus topics from the user's message.
2
Extensive Research: — Use the `Research` skill tool in extensive mode with 12 parallel agents to cover various dimensions (history, museums, architecture, archaeology, culture) in both English and Chinese.
3
Content Analysis (Optional): — If not in quick mode (`-q`), extract URLs from the research results and use the `ContentAnalysis` skill tool to extract key knowledge points from each URL.
4
Synthesize Org-Mode Document: — Combine research results and content analysis summaries into a structured org-mode document with sections for city overview, historical periods, museum guides, architectural heritage, archaeological discoveries, suggested routes, and recommended deep-dive content.
5
Generate Portable Cards: — Use the `ljg-card` skill tool to generate two portable cards: one with a city civilization overview and another with suggested routes and key highlights.
6
Report Generation: — Generate a summary report with the city name, file paths to the org-mode document and cards, and a summary of the research coverage.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

Skills Relacionados

Compõe comCard Creation
70%
Hebbian Synapse
Composite0.700
w = 0.3·α + 0.5·β + 0.2·γ
80
Similar aTikTok Research
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
80
Similar aClone Website Skill
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
83
Similar aMulti-Topic Deep Research
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
86

Árvore do Skill

Travel Research Flow
ljg-travel
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.ACT
5.REFLECT
Triggers10
travel researchmuseum homeworkancient architecture homework出发前功课旅行研究博物馆功课古建功课plan a cultural tripresearch trip to [city][city] travel preparation

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download ljg-travel
$ synaptic skills detail ljg-travel
$ synaptic skills live ljg-travel

Links

GitHub Repository