higashiyama
Templates by higashiyama
Daily morning briefing with Google Calendar, weather, and news to Slack
Personal Daily Morning Briefing Automation Who’s it for Busy professionals who want a quick daily update combining their calendar, weather, and top news. How it works Every morning at 7 AM, this workflow gathers: Today’s Google Calendar events Current weather for Tokyo Top 3 news headlines (from Google News RSS) Then it formats everything into a single Slack message. How to set up Connect your Google Calendar and Slack accounts in the Credentials section. Update rssUrl or weatherApiUrl if you want different sources. Set your Slack channel in the "Post to Slack" node. Requirements Google Calendar and Slack accounts RSS feed and weather API (no authentication required) How to customize You can modify: The trigger time (in the Schedule Trigger node) City for the weather RSS feed source Message format in the “Format Briefing Message” node
By higashiyama Extract meeting to-do lists from audio with Google Gemini and send to Slack
This workflow automates the process of converting audio meeting recordings into a structured to-do list. It listens for new audio files in a Google Drive folder, transcribes them, extracts action items using AI, and sends a formatted list to a designated Slack channel. Who’s it for This template is perfect for project managers, teams, and anyone who wants to save time on post-meeting administrative tasks. If you record your meetings and use Google Drive for storage and Slack for team communication, this workflow will streamline your follow-up process and ensure no action item is missed. What it does This workflow automates the entire process of turning spoken words from a meeting into actionable tasks for your team. Trigger on New Audio: The workflow starts automatically when you upload a new audio file (e.g., MP3, M4A, WAV) to a specific folder in your Google Drive. Transcribe Audio: It takes the audio file and uses Google Gemini to generate a full text transcript of the recording. Extract To-Do Items: The transcript is then passed to another Google Gemini node with a specialized prompt. This prompt instructs the AI to carefully analyze the text and extract all action items. Format Output: The AI formats the extracted tasks into a clean JSON array. Each task includes a description, the assigned person, a deadline, and its priority. Send to Slack: Finally, the workflow sends the structured to-do list as a message to your specified Slack channel, making it easy for the whole team to see and act upon. How to set up Configure Credentials: Ensure you have configured your credentials for Google Drive, Google Gemini, and Slack in n8n. Set Google Drive Folder: In the "Looking for uploading file" node, select the Google Drive folder you want the workflow to monitor. Set Slack Channel: In the "Send a message" node, choose the correct Slack account and select the channel where you want the to-do list to be posted. Activate Workflow: Save your changes and activate the workflow using the toggle at the top right. Test It: Upload a meeting recording to the designated Google Drive folder to see the magic happen! How to customize the workflow Change AI Model: You can easily swap the Google Gemini nodes for other AI models like OpenAI or Anthropic to handle transcription and analysis based on your preference. Modify the AI Prompt: Adjust the prompt in the "Analyze document" node to change the output format. For example, you could ask for a meeting summary in addition to the to-do list. Change Notification Service: Replace the Slack node with another notification service like Discord, Microsoft Teams, or an email node. Archive Results: Add a node (e.g., Google Sheets, Notion, Airtable) after the "Analyze document" node to save a history of all meeting transcripts and their corresponding action items.
By higashiyama Curate learning content from Reddit & RSS with GPT-4.1-mini and Google Sheets
Personalized Learning Content Aggregator with AI Filtering Who’s it for This workflow is for learners, educators, and professionals who want to automatically collect and filter the most relevant educational articles, tutorials, and resources based on specific keywords. How it works Fetches content from RSS feeds and Reddit based on user-defined keywords. AI analyzes and filters the articles to keep only relevant, educational, and non-promotional posts. Saves curated results into a Google Sheet for easy review. How to set up Connect your Google Sheets and AI (OpenAI or LangChain) credentials. Add your RSS feed URLs and keywords to Google Sheets. Adjust schedule timing in the trigger node (default: 8 AM & 6 PM daily). Run the workflow and check the results in your Google Sheet. Requirements Google Sheets account for storage. RSS feed URLs and keyword list. AI node (OpenAI / Gemini / Claude) for filtering logic. How to customize Change or add new content sources (e.g., YouTube, Medium, Dev.to). Adjust AI prompt criteria to match your learning goals. Save results to other platforms (e.g., Notion, Slack, or Airtable). Note: This workflow uses no personal identifiers or API keys directly in nodes. All credentials are safely stored in n8n’s credential manager.
By higashiyama Team morale monitoring from Teams/Slack messages with Gemini AI
AI Team Morale Monitor Who’s it for For team leads, HR, and managers who want to monitor the emotional tone and morale of their teams based on message sentiment. How it works Trigger: Runs every Monday at 9 AM. Config: Defines your Teams and Slack channels. Fetch: Gathers messages for the week. AI Analysis: Evaluates tone and stress levels. Aggregate: Computes team sentiment averages. Report: Creates a readable morale summary. Slack Post: Sends report to your workspace. How to set up Connect Microsoft Teams and Slack credentials. Enter your Team and Channel IDs in the Workflow Configuration node. Adjust the schedule if desired. Requirements Microsoft Teams and Slack access. Gemini (or OpenAI) API credentials set in AI nodes. How to customize Modify the AI prompts for different insight depth. Replace Gemini with other LLMs if preferred. Change posting platform or format. Note: This workflow uses only linguistic data — no personal identifiers or private metadata.
By higashiyama AI-powered code review with linting, red-marked corrections in Google Sheets & Slack
Advanced Code Review Automation (AI + Lint + Slack) Who’s it for For software engineers, QA teams, and tech leads who want to automate intelligent code reviews with both AI-driven suggestions and rule-based linting — all managed in Google Sheets with instant Slack summaries. How it works This workflow performs a two-layer review system: Lint Check: Runs a lightweight static analysis to find common issues (e.g., use of var, console.log, unbalanced braces). AI Review: Sends valid code to Gemini AI, which provides human-like review feedback with severity classification (Critical, Major, Minor) and visual highlights (red/orange tags). Formatter: Combines lint and AI results, calculating an overall score (0–10). Aggregator: Summarizes results for quick comparison. Google Sheets Writer: Appends results to your review log. Slack Notification: Posts a concise summary (e.g., number of issues and average score) to your team’s channel. How to set up Connect Google Sheets and Slack credentials in n8n. Replace placeholders (<YOURSPREADSHEETID>, <YOURSHEETGIDORNAME>, <YOURSLACKCHANNEL_ID>). Adjust the AI review prompt or lint rules as needed. Activate the workflow — reviews will start automatically whenever new code is added to the sheet. Requirements Google Sheets and Slack integrations enabled A configured AI node (Gemini, OpenAI, or compatible) Proper permissions to write to your target Google Sheet How to customize Add more linting rules (naming conventions, spacing, forbidden APIs) Extend the AI prompt for project-specific guidelines Customize the Slack message formatting Export analytics to a dashboard (e.g., Notion or Data Studio) Why it’s valuable This workflow brings realistic, team-oriented AI-assisted code review to n8n — combining the speed of automated linting with the nuance of human-style feedback. It saves time, improves code quality, and keeps your team’s review history transparent and centralized.
By higashiyama