Jira-Review

• •OpenAI API Key

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  "name": "Jira Retrospective",
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      "position": [
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        "operation": "getAll"
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      "name": "Jira Get All Comments",
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        "issueKey": "={{ $json.key }}",
        "resource": "issueComment",
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        "text": "=comments = {{ $json.concatenated_Comment }}\ndescription = {{ $json.Description }}\ntitle = {{ $json.Title }}\nstatus = {{ $json.EpicStatus }}\nepic_name = {{ $json.EpicName }}\n",
        "options": {
          "systemMessage": "=You are an AI assistant specialized in creating comprehensive Agile retrospective documents. Your task is to analyze the provided information about a completed task and generate an insightful **Lessons Learned** report formatted in **clean Markdown**, optimized for seamless conversion to Google Docs.\n\n---\n\n### 📥 Input Format\nYou will receive structured input containing:\n* `epic_name`: The broader initiative or project category\n* `title`: The specific task or user story name\n* `description`: A concise explanation of what the task involved\n\n---\n\n### 📤 Output Instructions\nGenerate a detailed **Lessons Learned** report using the following **Markdown** structure:\n\n# LESSONS LEARNED REPORT\n\n**Epic:** {epic_name} \n**Date:** {{$today.format('yyyy-MM-dd')}}}  \n**Task:** {title}  \n**Description:** {description}\n\n## Key Findings\n\n* Clear, specific insight about a technical challenge encountered\n* Process-related discovery that impacted delivery\n* Team dynamics observation or workflow improvement identified\n* {Add more if needed}\n\n## Comments & Observations\n\n{Write 2–3 paragraphs with:}\n\n* Specific examples from task execution\n* Feedback or quotes from team members (if available)\n* Comparisons to prior approaches\n* Unexpected challenges or positive surprises\n\n## Actionable Recommendations\n\n1. Specific, implementable action to address a finding\n2. Concrete suggestion for process improvement\n3. Recommendation for knowledge sharing or team development\n4. {Add more as needed}\n\n## Metrics & Impact\n\n{When possible, include:}\n\n* Time saved or efficiency gained\n* Quality improvements\n* User/customer feedback\n* Cost implications\n\n## Tags\n\n`#lessons-learned` `#{normalized_epic_name}` `#{relevant_technology}` `#{improvement_area}`\n\n---\n\n### 📝 Guidelines\n\n1. **Be specific** – use real details, not vague statements\n2. **Stay relevant** – stick to the task and its broader context\n3. **Focus on learning** – prioritize transferable insights\n4. **Balance** – include both wins and challenges\n5. **Actionability** – make every suggestion doable\n6. **Concise yet clear** – avoid fluff; write for impact\n7. **Formatting Guidelines for Google Docs compatibility:**\n   * Use only asterisks (*) for bullet points, never hyphens (-)\n   * Add two spaces after each line in lists for proper line breaks\n   * Always leave a blank line before and after headings\n   * Avoid using underscores (_) in text; use hyphens (-) instead\n   * For emphasis, use consistently **bold** for important points and *italics* for supplementary information\n   * When mentioning code or technical terms, use `single backticks`, never triple backticks\n   * Use a pipe-separated format for tables as shown in the template\n   * Keep paragraphs short (3-5 sentences) for better readability\n8. **Metadata Handling:** Include the epic name and task title exactly as provided in the input, without modification\n9. **Date Format:** Use YYYY-MM-DD format for the date for consistent sorting and display\n10. **Tags:** Keep tags lowercase, with hyphens instead of spaces, and relevant to the content\n\n---"
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          "name": "OpenAi account"
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              "name": "EpicName",
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              "value": "={{ $('Jira Get All Issues').item.json.fields.parent.fields.summary }}"
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            {
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              "name": "Comment",
              "type": "string",
              "value": "={{ $json.body.content[0].content[0].text }}"
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        "fieldsToSplitBy": "EpicName, EpicStatus, Title, Description",
        "fieldsToSummarize": {
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              "separateBy": "\n",
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      "parameters": {
        "simple": false,
        "actionsUi": {
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              "action": "insert"
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        "documentURL": "14X5gcowEprmL6ORyoo9tIrWWEB1HlhkixXUelesCLXs"
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      "name": "Jira Trigger",
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      "webhookId": "3eb46690-d7b1-4a69-9a99-8adf8f843ed9",
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          "jira:issue_updated"
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        "additionalFields": {
          "filter": ""
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              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.changelog.items[0].toString }}",
              "rightValue": "Done"
            }
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    {
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        "width": 380,
        "height": 580,
        "content": "## Epic Done?\nThis Node is Triggered on any issue change in Jira. However it only triggers the automation when the Epic status is changed to **Done**"
      },
      "typeVersion": 1
    },
    {
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      "name": "Haftnotiz1",
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      "parameters": {
        "color": 5,
        "width": 820,
        "height": 580,
        "content": "## Fetch issue Description and Comments\nOnce the Epic is Done, these nodes fetch issues and comments that fall under the Epic. For further processing the output is bundled."
      },
      "typeVersion": 1
    },
    {
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      "position": [
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      "parameters": {
        "color": 3,
        "width": 540,
        "height": 580,
        "content": "## Summarize and send to Google Docs\nThe LLM is summarizing the description / comments and generates a report with a layout defined in the System Message. Finally the output is send to Google Docs."
      },
      "typeVersion": 1
    }
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