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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
Score: 1.0
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2026-08-05 15:46:04 +00:00
parent 5f917f4121
commit dc9053fa1d
3 changed files with 14 additions and 15 deletions
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skills/multi-agent-sequential-workflow/metadata.json
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@@ -7,18 +7,18 @@
],
"steps": [
"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."
"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"
],
"failure_modes": [
"Network issues during API calls could lead to incomplete data collection or processing failures"
"Specific failure scenario with mitigation: If any of the agents fail to process their tasks (e.g., network issues, model errors), the workflow will fail. Mitigation involves robust error handling and fallback mechanisms."
],
"confidence": 0.95,
"explanation": "This workflow is specific but can be adapted for other types of guides or information gathering tasks.",
"explanation": "This workflow is specific to generating travel guides but can be adapted for other types of structured content creation.",
"source_repo": "https://github.com/omerbsezer/Fast-LLM-Agent-MCP.git",
"score": 1.0
}