Epictetus
5f917f4121
Publisher fixes: - Checkout new branch before push (was pushing main ref) - Verify files staged before commit - Handle duplicate files gracefully - Clean error reporting per stage Skills merged to main: - mcp-server-setup (from pipeshub-ai) - research-pipeline (from Blacknode) - multi-agent-sequential-workflow (from Fast-LLM-Agent-MCP) - unifai-workflow-execution (from UnifAI) - code-review-agent-workflow (from AgentKit)
24 lines
1.2 KiB
JSON
24 lines
1.2 KiB
JSON
{
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"name": "multi-agent-sequential-workflow",
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"version": "1.0.0",
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"goal": "Gather and process information from multiple agents to generate a comprehensive travel guide.",
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"inputs": [
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"User query with location"
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],
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"steps": [
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"Step 1: Researcher agent (agent.py) uses LangGraph create_react_agent with BedrockModel to gather raw facts about the destination.",
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"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.",
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"Step 3: Writer agent (agent.py) formats the final response, including the structured guide content and prominently features the 'Suggested Web Pages' section."
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],
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"outputs": [
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"Structured travel guide with key sections",
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"Final client response"
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],
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"failure_modes": [
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"Network issues during API calls could lead to incomplete data collection or processing failures"
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],
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"confidence": 0.95,
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"explanation": "This workflow is specific but can be adapted for other types of guides or information gathering tasks.",
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"source_repo": "https://github.com/omerbsezer/Fast-LLM-Agent-MCP.git",
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"score": 1.0
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} |