Google Sheets Workflows
4.090 Ergebnisse — 488 herunterladbare Workflow-Dateien, 3.602 quellenverknüpfte n8n-Referenzen
Generate and email PDF invoices from Google Sheets with Acrewity and Gmail
Quick overview This workflow watches for new order rows in Google Sheets, generates a styled HTML invoice, converts it to a PDF using Acrewity, emails the PDF via Gmail, archives it in Google Drive, and updates the order row status so successful and failed rows are clearly tracked. How it works Triggers every minute when a new row is added to the selected Google Sheets Orders worksheet. Applies your invoice settings (company name, logo URL, tax rate, currency, and email subject prefix) and builds invoice HTML from the row data. Validates required fields (including a valid customer email and a JSON array in the Items column) and writes an error message back to the sheet for invalid rows. Converts valid invoice HTML to a PDF using the Acrewity HTML-to-PDF API and turns the result into a binary file attachment. Sends the PDF invoice to the customer using Gmail. Uploads the PDF to a chosen Google Drive folder and updates the corresponding Google Sheets row with Status = Invoiced. Setup Install the community node package @acrewity/n8n-nodes-acrewity and add an Acrewity API credential. Add Google Sheets, Gmail, and Google Drive credentials in n8n. Create an Orders sheet with headers that
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Turn LinkedIn post reactions into AI content ideas with OpenAI and Google Sheets
Quick overview This workflow runs daily to fetch your recent LinkedIn post reactions via a RapidAPI LinkedIn endpoint, uses OpenAI to turn each reacted post into a structured original content idea, and appends or updates the results in a Google Sheets idea vault without duplicates. How it works Runs every day at 08:00 using a schedule trigger. Loads configurable settings like your LinkedIn username, reaction type filter, recency window, max posts to analyze, OpenAI model, and output language. Calls the linkedin-api8 RapidAPI endpoint to retrieve posts you recently reacted to and splits the response into individual reaction items. Filters reactions to keep only the selected reaction type (or all when blank) and posts newer than the configured number of days. Limits the number of reactions sent for analysis to control cost. Sends each source post (author, reaction, text, and URL) to OpenAI to generate a structured content idea (category, angle, hook, takeaway, format, and hashtags). Saves each idea to Google Sheets using an upsert that matches on Post URL to avoid duplicate rows. Setup Create a RapidAPI subscription for linkedin-api8 and add an HTTP Header Auth credential that sends
Analyze YouTube comments with OpenAI, Google Sheets, and Gmail
Quick overview This workflow monitors a Google Sheets list of YouTube video IDs, fetches video details and top comments from the YouTube Data API, analyzes the comments with OpenAI into structured sentiment and themes, emails an HTML report via Gmail, and writes the results back to Google Sheets. How it works Triggers every minute when a row in Google Sheets is added or updated. Reads the video ID and status from the row and continues only if the status is set to “Pending”. Calls the YouTube Data API to fetch the video’s metadata and the top comment threads for that video. Flattens the comment threads, calculates basic stats (comment count and average likes), and compiles a limited comment text block for analysis. If comments exist, sends the compiled comments and video title to OpenAI to generate a structured analysis (sentiment score, sentiment breakdown, themes, questions, feedback, insights, and summary). Builds an HTML email report from the structured results, sends it to the configured recipient with Gmail, and updates the Google Sheet row with the analysis fields; if no comments exist, marks the row as “No comments”. Setup Create or duplicate a Google Sheet with at least “Vi
WEnrich LinkedIn profiles in Google Sheets with Apify
Quick overview This workflow reads LinkedIn profile URLs from Google Sheets, calls the Apify LinkedIn scraper to fetch profile details, and writes enriched fields (name, headline, job title, company, location, skills, positions, education, certifications, and follower data) back to the same rows. How it works Runs when you manually execute the workflow. Loads configuration values such as the LinkedIn URL column name, apify actor ID, contact-finding toggle, and batch size. Reads rows from the selected Google Sheets tab to get the LinkedIn profile URLs to enrich. Processes the sheet rows in batches to control throughput and respect Apify rate limits. For each row, sends the LinkedIn URL to apify and retrieves the scraped LinkedIn profile data. Updates the matching Google Sheets row (by row_number) with the returned profile fields, including skills, positions, education, and other metadata. Setup Add a Google Sheets OAuth2 credential and select the target spreadsheet and sheet tab in the read and update steps. Add an apify API token as HTTP Header Auth (Authorization: Bearer YOUR_APIFY_TOKEN) for the Apify request. Ensure your Google Sheet includes a column containing LinkedIn profile
Qualify voicemail leads with Twilio, Google Gemini, Gmail and Google Sheets
Quick overview When a buyer or seller leaves a voicemail, this workflow transcribes it automatically, qualifies their intent using Gemini AI, sends an instant SMS acknowledgment, and alerts the agent for Hot leads — turning every missed call into a qualified lead within seconds. How it works Receives a POST webhook from Twilio when a voicemail recording and transcription are completed. Validates the voicemail by checking that the recording is completed, the transcription is completed, and the call duration is longer than 5 seconds. Extracts the transcript, caller phone number, call SID, duration, and recording URL, then sends the transcript to Google Gemini to return structured lead details, a Hot/Warm/Cold score, and draft SMS/email replies. Parses and sanitizes the Gemini JSON output, applies fallbacks if parsing fails, optionally appends a Google Calendar booking link for Hot leads, and builds an agent-ready HTML summary including the transcript and recording link. Sends an acknowledgment SMS to the caller via Twilio, and sends an acknowledgment email via Gmail only when a caller email address is available. Appends the lead details, transcript, and messaging status to a Google S
Recommend supplier consolidation with Google Sheets, Groq, Slack and Gmail
Quick overview This workflow runs weekly to read supplier spend data from Google Sheets, detect overlapping suppliers across departments, estimate potential consolidation savings, and use Groq-hosted LLM analysis to assess risk and produce recommendations that are sent to Slack and emailed via Gmail. How it works Runs every week on a scheduled trigger. Reads supplier records from a Google Sheets spreadsheet and keeps key fields like supplier name, department, spend, risk rating, and stakeholder email. Groups and normalizes supplier names to find suppliers used by multiple departments and calculates estimated savings and an opportunity level. Sends each consolidation opportunity to a Groq chat model to evaluate risk versus savings and return a JSON decision and recommendation. Parses the AI JSON output, merges it with the calculated savings data, and formats a final recommendation record. Posts the recommendation to a Slack channel and emails a formatted report to the supplier stakeholder email address. Setup Connect your Google Sheets OAuth account and update the spreadsheet ID and sheet/tab to match your supplier records. Add a Groq API credential for the chat model used to evalua
Extract and validate invoice data from Google Drive using OCR.Space, Gemini, and Google Sheets
Quick overview This workflow monitors a Google Drive folder for newly uploaded invoice files, extracts text with OCR.Space, uses Google Gemini to convert the OCR text into structured invoice fields, validates required values, then stores results in Google Sheets and sends Gmail notifications for success or manual review. How it works Triggers when a new file is created in a specified Google Drive folder. Downloads the uploaded invoice file from Google Drive and checks that the MIME type is PDF, JPG, JPEG, or PNG. Sends the file to the OCR.Space API to extract the invoice text and stops if OCR reports a processing error. Uses Google Gemini to convert the OCR text into structured JSON containing supplier, invoice metadata, amounts, currency, and line items. Validates and normalizes the extracted fields, flags missing required values, and marks the record for manual review when needed. If manual review is required, sends a Gmail alert listing missing fields; otherwise, appends key invoice fields to Google Sheets and sends a Gmail confirmation email. Setup Connect Google Drive OAuth2 credentials and set the folder ID to watch for invoice uploads. Provide an OCR.Space API key and ensure
Route supplier risk alerts from Gmail to Slack with Gemini and Google Sheets
Quick overview This workflow monitors incoming Gmail messages from suppliers, uses Google Gemini to analyze sentiment and relationship risk, generates an engagement strategy for risky emails, sends an alert to Slack, and logs the analysis and recommended response to Google Sheets. How it works Triggers every minute by checking Gmail for new incoming emails. Filters out irrelevant messages (for example newsletters, unsubscribe emails, no-reply senders, and auto-replies) and keeps only valid supplier emails. Extracts the sender, subject, and email snippet into a single text block and waits briefly to buffer processing. Sends the email text to Google Gemini to return a structured JSON analysis with sentiment score/label, intent, urgency, key concern, and deterioration risk, then normalizes these fields and derives a trend. Flags the interaction as high risk based on the deterioration risk value or a low sentiment score and waits briefly before continuing. Uses Google Gemini to generate a concise engagement strategy (recommended action, draft opening message, and follow-up timeline), then parses it and formats a Slack-ready alert. Sends the alert to a selected Slack user and appends th
CWRoute insurance quote leads with OpenAI, Airtable, Sheets, Teams, Slack and Twilio
Quick overview This workflow receives insurance quote submissions via a webhook, normalizes and deduplicates them against Airtable and/or Google Sheets, uses OpenAI to score and classify the lead, then routes hot/warm leads to Microsoft Teams and/or Slack (plus Twilio SMS for hot leads) and logs the quote. How it works Receives an insurance quote request through a webhook endpoint. Applies configurable settings (log destination, notification channels, thresholds) and normalizes the incoming form payload into a standard quote format. Checks Airtable and/or Google Sheets for recent matching email/phone/hash entries to detect duplicate submissions. If the quote is new and has contact details, sends the quote data to OpenAI to generate a lead score, priority, underwriting flags, missing info, and recommended next steps. Routes the quote as hot, warm, or cold based on the score/priority and prepares formatted alert messages for Microsoft Teams and Slack. Posts hot/warm alerts to Microsoft Teams and/or Slack, and sends a Twilio SMS to an agent for hot leads. Creates a quote log record in Airtable and/or appends a row to Google Sheets, then returns a JSON response with logging and notific
Audit YouTube video metadata changes with Google Sheets and Slack
Quick Overview This workflow runs daily to fetch all videos from a YouTube channel, compare key metadata fields against a prior snapshot stored in Google Sheets, log any differences, and optionally post a summary to Slack. How it works Runs every day at 08:00 on a schedule. Reads your YouTube channel’s uploads playlist and retrieves each video’s current title, description, tags, privacy status, and category. Loads the previous snapshot from Google Sheets and compares the tracked fields to detect added, removed/hidden, or changed metadata. When changes are found, appends each changed field (old value vs new value) to a Google Sheets change log. Clears and rewrites the snapshot in Google Sheets with the latest metadata so the next run compares against today’s baseline. Posts a summary to a Slack channel when changes are detected (or when alwaysNotify is enabled). Setup Add a YouTube (Google) OAuth2 credential and set your target channel ID in the audit options. Add a Google Sheets credential, set the spreadsheet ID, and ensure your spreadsheet has a Snapshot tab and a Change Log tab mapped in the Google Sheets steps. Add a Slack credential and set the target Slack channel ID for the
Normalize YouTube video tags using Google Sheets vocabulary rules
Quick Overview This workflow loads a tag vocabulary from Google Sheets, scans your YouTube channel’s recent videos, normalizes each video’s tags to match alias/banned/required rules, and updates only the videos whose tag set changes. How it works Runs manually to start the tag normalization process. Reads controlled-vocabulary rules from Google Sheets, including alias mappings, banned tags, and required baseline tags. Lists up to 50 videos from the specified YouTube channel and fetches each video’s snippet details, including tags, title, and category. Normalizes tags by lowercasing and cleaning them, converting aliases to canonical tags, removing banned tags, deduplicating, adding required tags, and truncating to YouTube’s tag character limit. Compares the normalized tag set to the current tags and keeps only videos where the tags changed. Updates the tags on the changed videos in YouTube while preserving the existing title and category. Setup Add a YouTube (Google) OAuth2 credential for the YouTube nodes and ensure it has permission to update videos on your channel. Add a Google Sheets credential, set the spreadsheet ID and sheet/tab to the vocabulary document, and ensure it is ac
WAudit page schema and AI citation signals with GPT-4o-mini and Google Sheets
Quick overview This workflow reads page URLs from Google Sheets, fetches each page to extract schema and SEO freshness signals, uses OpenAI GPT-4o-mini to assess entity consistency and generate recommended JSON-LD, then writes an audit row with scores and prioritized gaps back to Google Sheets. How it works Runs manually to start an audit of all rows in the Google Sheets pages tab. Fetches each page_url over HTTP and parses the HTML to extract JSON-LD schema types, dates, author signals, canonical/robots tags, title/H1 query match, and a short content excerpt. Sends the extracted signals and excerpt to OpenAI (gpt-4o-mini) to score entity consistency, rank the biggest citation-impact gaps, and (when needed) generate a paste-ready JSON-LD block using placeholders for unknown values. Combines a deterministic technical checklist score with the OpenAI entity score into a weighted overall audit score and formats the top gaps and issues. Appends the full audit result (including scores, gaps, and recommended JSON-LD) to the Google Sheets audit tab with the run date. Setup Create an OpenAI HTTP Header Auth credential with Authorization: Bearer for calls to the Chat Completions API. Add a G
Extract Twilio voice donation details with Groq, Gemini, and Google Sheets
Quick overview This workflow receives Twilio call recording callbacks, transcribes the audio with Groq Whisper, uses Google Gemini/Groq LLMs to extract structured donation details, and appends the results (with transcript and review flag) to Google Sheets. How it works Receives a Twilio Recording Status Callback webhook and immediately responds with TwiML (``). Captures call metadata (CallSid, caller number, recording URL/SID, and duration) and continues only if the recording exists and is at least 2 seconds long. Waits briefly for Twilio to finalize the media, then downloads the recording MP3 using Twilio HTTP Basic Auth. Sends the audio file to Groq’s Whisper transcription endpoint to generate a text transcript. Uses a LangChain prompt with Google Gemini and Groq chat models to extract donation amount, fee (if mentioned), beneficiary name, currency, a needs-review flag, and a short summary from the transcript. Parses the model output as JSON and falls back to an error summary with needs_review=yes if parsing fails. Checks Google Sheets for an existing row matching the CallSid/RecordingUrl and, if not found, appends a new row with the extracted fields, transcript, and call details
WGenerate and vet ad creative with OpenAI, Spendict, Google Sheets, and Slack
Quick overview This workflow collects a product brief via an n8n form, uses OpenAI to generate ad variants, gates each one with Spendict run/fix/kill scoring, auto-rewrites fixable ads, logs approved results to Google Sheets, and posts an approval count to Slack. How it works Receives a product brief from an n8n form submission with product, platform, audience, and desired variant count. Sends the brief to OpenAI Chat Completions to generate multiple ad variants (headline + primary text) in JSON. Splits the OpenAI response into individual variants and submits each one to Spendict’s /assess endpoint for a launch recommendation and score. Routes variants by Spendict verdict: “run” is accepted, “fix_first” is rewritten with the prioritized fixes and re-scored by Spendict, and “kill” is collected as rejected output. Combines accepted and auto-fixed variants and appends them as rows in Google Sheets with status, copy, platform, verdict, and score. Aggregates the logged approved variants and posts a summary message to Slack via an incoming webhook. Setup Add HTTP Header Auth credentials for OpenAI (Authorization: Bearer ) in both OpenAI HTTP Request steps. Add HTTP Header Auth credential
Send Google review request and reminder emails with Gmail and Google Sheets
Quick overview This workflow runs daily and reads a Google Sheets job ledger to send Google review request and reminder emails via Gmail, then updates the sheet with sent dates to prevent duplicate messages. How it works Runs every day at 9am on a schedule. Loads your email templates and timing settings, then reads all rows from the selected Google Sheets document. Keeps only rows with status set to open, a valid job_date, and a customer email, and decides whether a first request (2+ days after the job) or a reminder (7+ days after the request) is due. Personalizes the subject and body with the customer details and your Google review link. Sends the appropriate plain-text email to each customer through Gmail. Updates the matching row in Google Sheets (by job_id) to stamp request_sent or reminder_sent with today’s date so the workflow never sends the same email twice. Setup Connect Google Sheets credentials and select the target spreadsheet and sheet in both Google Sheets nodes. Connect Gmail credentials for the mailbox you want to send from. Ensure your sheet has headers job_id, customer_name, customer_email, job_description, job_date, status, request_sent, reminder_sent and uses s
WGenerate and score Google Maps leads with Gemini, Apify, and Google Sheets
Quick overview Youtube Video:https://youtu.be/NGruDecKxAg?si=ot9pj6IN4IoLstow This workflow takes a chat-based search request, scrapes matching businesses from Google Maps using Apify, scores and ranks them with Google Gemini, deduplicates against an existing Google Sheet by placeId, saves new leads to the sheet, and returns a formatted results message to the chat. How it works Receives a message from an n8n chat trigger containing the user’s Google Maps lead search request. Sends the request to Google Gemini to extract structured search parameters (business type, location, max results, and output mode). Calls an Apify Google Maps scraping actor with the extracted parameters and selects a clean set of lead fields from the results. Removes duplicate businesses based on Google Maps placeId and batches the remaining leads into a single list. Sends the lead list to Google Gemini to add a 0–100 score and short reason to each lead and returns them sorted by score. Checks the scored leads against existing rows in Google Sheets and filters out any placeId values that are already saved. Appends or updates the new leads in Google Sheets and returns a formatted ranked lead list back to the ch
Back up Hostinger Reach contacts and segments to Google Sheets daily
Quick Overview This workflow runs daily at 7am to back up Hostinger Reach contacts and segments into Google Sheets, upserting records into separate Contacts and Segments tabs and adding a last_synced_at timestamp for tracking. How it works Runs every day at 7am and sets the target Google Sheets URL plus the tab names for contacts and segments. Requests the first page of Hostinger Reach contacts and continues fetching additional pages until the last page is reached. Splits the returned contacts into individual records, maps key fields (including uuid and email), and adds a last_synced_at timestamp. Upserts the contact records into Google Sheets using uuid as the matching key. Fetches all Hostinger Reach segments, splits them into individual records, and adds a last_synced_at timestamp. Upserts the segment records into a separate Google Sheets tab using uuid as the matching key. Setup Add a Hostinger API credential for the Hostinger Reach nodes that list contacts and segments. Add a Google Sheets credential and ensure the Google Sheet is accessible to that account. Update the Google Sheets URL and the Contacts/Segments tab names in the configuration step. Ensure your Contacts and Seg
WCalculate court deadlines with Google Calendar, Outlook, and Clio
Quick overview This workflow receives a webhook with a trigger date and deadline rules, calculates court deadlines (skipping weekends and US federal holidays for business-day rules), then creates matching events in Google Calendar or Microsoft Outlook, creates high-priority tasks in Clio, logs each deadline to a Google Sheets audit sheet. How it works Receives a POST webhook request containing a matter ID, trigger date, optional rule set, and the target calendar platform. Validates the payload and stops early if the matter ID is missing or the trigger date is not in YYYY-MM-DD format. Calculates one deadline per rule using calendar-day or business-day offsets that skip weekends and US federal holidays. Creates a calendar entry for each deadline in Google Calendar (all-day) or Microsoft Outlook via Microsoft Graph (timed), depending on the requested platform. Creates a high-priority pending task in Clio for each deadline and links it to the provided Clio matter ID. Appends one audit row per deadline to the “Audit Log” tab in the OPS1 Compliance Log Google Sheet. Setup Configure the webhook URL in the system that triggers deadline creation and ensure it sends at least matter_id and t
Confirm and log WhatsApp restaurant orders with Groq and Google Sheets
Quick Overview This workflow triggers on incoming WhatsApp orders, uses Groq to extract items and quantities, validates them against a live Google Sheets menu, logs the result to an orders sheet, and replies to the customer with either a clarification request or a priced confirmation (with optional VIP owner alerts). How it works Triggers when a new WhatsApp message is received on your WhatsApp Business Cloud number. Sends the message text to Groq (Llama 3.3) to extract a structured list of ordered items and quantities. Reads the latest menu (item name, price, availability) from a Google Sheets “Menu” tab. Matches extracted items to the menu, checks availability, calculates line subtotals and the total price, and compiles any validation issues. If there are issues, replies to the customer on WhatsApp asking for a corrected order and appends a “needs_clarification” entry to the Google Sheets “Orders” tab. If the order is valid, appends a “confirmed” entry to the Google Sheets “Orders” tab and sends a WhatsApp confirmation with the item summary and total. If the confirmed total meets or exceeds the VIP threshold, sends a separate WhatsApp notification to the owner number. Setup Conne
Detect revenue leakage with Salesforce, Google Sheets, Gemini, and Slack
Quick overview This workflow manually audits Closed Won Salesforce opportunities against billed amounts in Google Sheets, uses Google Gemini to analyze any revenue gap, then alerts a Slack user and writes an audit note back to the Salesforce opportunity. How it works Starts when you run the workflow manually. Fetches up to 20 Salesforce opportunities where the stage is "Closed Won" and processes them in batches with a short delay to reduce API pressure. Looks up matching billing rows in Google Sheets and totals the billed amount for the same Deal ID, then calculates the missing revenue versus the Salesforce Amount. For deals with a positive revenue gap, sends the discrepancy details to Google Gemini to classify severity and generate a root cause, recommendation, and Salesforce-ready audit note. Parses the Gemini JSON response and builds a formatted Slack message containing the deal, gap, severity, and recommended action. Sends the Slack alert and updates the Salesforce opportunity description with the audit note and the expected, billed, and missing amounts. Setup Add credentials for Salesforce OAuth2, Google Sheets OAuth2, Google Gemini (PaLM) API, and Slack OAuth2. In Salesforce,
Monitor ride surge events and analyze ride errors with Sheets, Slack and Gemini
Quick overview This workflow pulls ride events and error records from Google Sheets, detects surge pricing and long waits, and notifies via Slack. For error records, it uses Google Gemini with real-time traffic and weather API lookups to diagnose the issue and send recommended actions to Slack. How it works Runs manually and reads ride records from a Google Sheets spreadsheet. Processes the rows one by one with a short delay and routes each record based on whether its type is an event or an error. For event records, checks if the ride price is more than 1.5× the normal price and the wait time is over 10 minutes. If surge conditions are met, sends a surge and delay notification to Slack and records a surge-alert log entry. If surge conditions are not met, records a normal “no alert needed” log entry. For error records, structures the ride and error context and asks Google Gemini to generate an incident summary, probable cause, and recommended actions, calling traffic and weather APIs as needed. Parses the Gemini response into JSON and posts the formatted error report to Slack. Setup Connect Google Sheets OAuth credentials and set the correct spreadsheet and sheet tab in the Google S
Classify documents and extract invoice data with LDXhub AnalyzeDoc and Google Sheets
Quick overview This workflow collects uploaded PDFs or images, classifies each document type using LDXhub AnalyzeDoc, and routes it accordingly; invoices get high-detail field extraction and are appended as a new row in Google Sheets. How it works Receives a file upload through an n8n form for a PDF, JPG, or PNG business document. Sends the file to LDXhub AnalyzeDoc (low-detail) to classify it as invoice, receipt, business_card, contract, blank, or other. Parses the returned JSON and routes the execution based on the detected document_type. For invoices, reattaches the original uploaded file and runs LDXhub AnalyzeDoc (high-detail) to extract key invoice fields in structured JSON. Flattens the extracted fields and appends them as a new row in a selected Google Sheets worksheet. For receipts, business cards, and other types, sends the item to placeholder routes where you can add your own processing. Setup Create an LDXhub account, generate an API key, and configure an LDXhub API credential in n8n for both AnalyzeDoc steps. Connect a Google Sheets OAuth2 credential and select the target spreadsheet and worksheet in the append step. Ensure the first row of your sheet contains headers
Route meeting action items to Slack using Gmail, OpenAI, and Google Sheets
Quick overview This workflow watches a Gmail label for new meeting transcript emails, extracts the transcript, uses OpenAI to generate a summary and action items, routes urgent items to the right Slack channel, and logs the meeting and action items to Google Sheets. How it works Triggers every minute when an unread email arrives in Gmail with the label Transcripts. Applies your configured Google Sheets and Slack settings, then extracts meeting metadata and transcript text from the email body. Reads the existing meeting log from Google Sheets and skips processing if the email matches a previously logged message ID or meeting hash. Sends the transcript to OpenAI to produce a JSON analysis including summary, decisions, risks, and structured action items. Parses and normalizes the action items, then routes the result as urgent, standard, or FYI based on priority and due date threshold. Posts a formatted message to the appropriate Slack channel when action items exist, otherwise marks the run as FYI. Appends the meeting record to the Meetings sheet and writes each extracted action item as a separate row in the ActionItems sheet. Setup Connect credentials for Gmail OAuth2, Google Sheets
Create TikTok carousel posts with Upload Post, Google Sheets, Gemini, GPT-4.1
Quick overview This workflow runs daily to pull TikTok post and profile analytics from Upload Post, updates a Google Sheets performance log, uses Google Gemini and OpenAI to generate a new carousel concept and caption, creates four images via fal.ai, publishes to TikTok, and updates a persistent “Agent Skill” sheet. How it works Runs on a daily schedule (or manually) and loads product, Upload Post, and Google Sheets configuration values. Reads the Google Sheets “Performance Log,” selects posts missing stats or posted recently, fetches TikTok post analytics from the Upload Post API, and writes updated metrics back to the sheet. Aggregates the refreshed history, fetches TikTok profile analytics from Upload Post, reads the “Agent Skill” sheet, and compiles a single context summary. Uses Google Gemini (via a structured JSON output) to generate a TikTok carousel plan including caption, strategy notes, four slide prompts, hashtags, and an engagement question. Sends the four prompts to fal.ai to generate four 9:16 PNG carousel images and collects their hosted image URLs. Uses OpenAI (GPT-4.1) to write a short TikTok photo-post description, publishes the carousel to TikTok via Upload Post