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Add Skill: multi-agent-sequential-workflow

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Extracted from: https://github.com/omerbsezer/Fast-LLM-Agent-MCP.git
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2026-08-05 15:46:04 +00:00
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skills/multi-agent-sequential-workflow/examples.md
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```python
# How to use this skill
# Inputs: User query with location
# Process: Step 1: Researcher agent (agent.py) uses LangGraph create_react_agent with BedrockModel to gather raw facts about the destination. → Step 2: Travel Guide Generator agent (agent.py) synthesizes the gathered data into a structured travel guide based on the user's request and raw information provided by the researcher. → Step 3: Writer agent (agent.py) formats the final response, including the structured guide content and prominently features the 'Suggested Web Pages' section.
# Process: Step 1: Researcher agent (agent.py) uses LangGraph create_react_agent with BedrockModel to gather raw facts about the destination. → Step 2: Travel Guide Generator agent (agent.py) synthesizes the gathered data into a structured travel guide based on the user's request and the raw information provided by the researcher. → Step 3: Writer agent (agent.py) formats the final response, including the structured travel guide content and prominently featuring the 'Suggested Web Pages' section.
# Outputs: Structured travel guide with key sections, Final client response
```