Targeted TikTok Traffic Generator - Confirm & Copy Final Agent Code

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[
  {
    "taskID": 223,
    "semanticTitleOfTask": "Generate Budget Recommendation for TikTok Mastery Ad Campaign",
    "taskDescription": "As an advertising budget specialist, analyze the campaign goals and recommend an optimal daily and total budget for a 7-day social media campaign with a 10% conversion target. Provide cost per click ranges, justification, and any region-based budget splits for the UK, USA, and Canada.",
    "inputDescription": "Accepts user input from VARIABLE1, VARIABLE2, VARIABLE3. VARIABLE1 includes campaign_duration=7 days, conversion_target=10%. VARIABLE2 includes peak_days=Thu-Sun. VARIABLE3 includes target_regions=UK,USA,Canada and target_demographics=ages18-55.",
    "inputRequired": [
      "VARIABLE1",
      "VARIABLE2",
      "VARIABLE3"
    ],
    "outputDescription": "A budget recommendation for the 7-day TikTok Mastery campaign, including suggested total spend, daily allocations (with emphasis on peak days), cost per click estimates, justification, and recommended region-based splits.",
    "outputName": "recommended_budget",
    "promptInstruction": "As an advertising budget specialist, recommend an optimal budget for a 7-day TikTok mastery course campaign targeting social media, affiliate marketing, and influencer marketing enthusiasts. The campaign runs Thu-Sun (peak). Target audience is ages 18-55 in UK, USA, Canada. Goal: 10% conversion. Provide total budget, daily split (with peak emphasis), CPC estimates, justification, and region-based splits."
  },
  {
    "taskID": 190,
    "semanticTitleOfTask": "Generate Campaign Configuration JSON File for TikTok Mastery",
    "taskDescription": "Create a structured JSON configuration file containing all campaign parameters for the 7-day TikTok Mastery campaign, incorporating recommended budgets, scheduling, geographic/demographic targeting, interest keywords, and conversion tracking parameters.",
    "inputDescription": "Requires recommended_budget from the previous task plus user-provided details from VARIABLE1, VARIABLE2, and VARIABLE3. This includes the campaign duration, peak days, region targets, demographics, interests, and keywords.",
    "inputRequired": [
      "recommended_budget",
      "VARIABLE1",
      "VARIABLE2",
      "VARIABLE3"
    ],
    "outputDescription": "A complete campaign_config.json file with all necessary settings, including total budget, daily allocations, schedule, targeting parameters, interest keywords, and conversion tracking fields.",
    "outputName": "campaign_config.json",
    "promptInstruction": "Create a structured JSON config for a 7-day social media campaign, starting next Thursday with Thu-Sun as peak days. Integrate the recommended budget, targeting (UK, USA, Canada; ages 18-55; TikTok, social media, affiliate marketing, influencers), relevant keywords, and conversion tracking parameters. Provide proper formatting with nested objects, arrays, daily budget distribution, and short comments."
  },
  {
    "taskID": 1901,
    "semanticTitleOfTask": "Generate UTM Parameter Documentation & Implementation Guide",
    "taskDescription": "This task uses skill #190 to produce a text file (tracking_details.txt) explaining how to structure the UTM parameters (utm_source, utm_medium, utm_campaign, utm_content), including step-by-step instructions, examples, best practices, troubleshooting tips, and guidelines for snippet placement on the website.",
    "inputDescription": "The inputs required are the name of the campaign 'tiktok_mastery', the target URL 'https://dotcomecom.link/tiktokmastery', the recommended UTM parameters, instructions for pixel placement, and the need for step-by-step instructions, best practices, examples, and troubleshooting tips.",
    "inputRequired": [
      "campaign_name",
      "target_url",
      "utm_parameters",
      "tracking_requirements",
      "placement_instructions"
    ],
    "outputDescription": "A text-based document that thoroughly outlines how to implement UTM parameters for the TikTok Mastery campaign and includes guidelines on snippet placement. This document is titled 'tracking_details.txt'.",
    "outputName": "tracking_details.txt",
    "promptInstruction": "You are a technical documentation specialist creating a guide for implementing UTM tracking parameters and pixel placement for a TikTok Mastery campaign. Create a detailed text document that includes: 1) A clear explanation of the UTM parameter structure for the URL https://dotcomecom.link/tiktokmastery, including utm_source, utm_medium, utm_campaign, utm_content. 2) Step-by-step instructions for implementing these UTM parameters. 3) Guidelines for proper pixel placement on the website. 4) Examples of fully-formed URLs with UTM parameters. 5) Best practices for tracking implementation. 6) Troubleshooting tips for common tracking issues. Use clear, technical language and provide practical examples throughout."
  },
  {
    "taskID": 1902,
    "semanticTitleOfTask": "Generate JavaScript Tracking Pixel Code",
    "taskDescription": "This task uses skill #190 to produce a JavaScript file (tiktok_mastery_pixel.js) for implementing click and conversion tracking for the TikTok Mastery campaign, including event listeners, page load tracking, conversion monitoring, data collection for the three target regions, and 10% conversion goal setup.",
    "inputDescription": "The inputs required are the campaign tracking type (clicks, conversions), target elements (checkout_button, cart_page), the 10% conversion goal, event triggers (page_load, button_click), and tracking parameters (event_names, conversion_points).",
    "inputRequired": [
      "tracking_type",
      "target_elements",
      "conversion_goal",
      "event_triggers",
      "tracking_parameters"
    ],
    "outputDescription": "A JavaScript snippet that sets up click and conversion event listeners, logs timestamps, collects region data, calculates the current conversion rate, and is well commented with instructions for usage.",
    "outputName": "tiktok_mastery_pixel.js",
    "promptInstruction": "You are a JavaScript developer creating a tracking pixel implementation for a TikTok Mastery campaign. Create a JavaScript code snippet that: 1) Implements click tracking on page load. 2) Tracks user progression to the checkout page. 3) Calculates conversion rates (targeting 10% conversion). 4) Includes the following functionality: event listeners for checkout button clicks, page load tracking, conversion point monitoring, data collection for geographic location (UK, USA, Canada), and timestamp logging for all events. The code should be well-commented, optimized for performance, handle errors gracefully, and include any initialization or dependency instructions. Make sure it can handle edge cases and is cross-browser compatible."
  },
  {
    "taskID": 190,
    "semanticTitleOfTask": "Ad Platform Data Retrieval Configuration",
    "taskDescription": "Generates a structured configuration for retrieving data from the ad platform API, including endpoints, authentication parameters, and data format specifications for daily metrics.",
    "inputDescription": "This task requires the campaign_config.json from the previous subagent, along with any external credentials (API keys, tokens), the ad platform’s API endpoint, and any configuration details for data retrieval including regional and date parameters.",
    "inputRequired": [
      "campaign_config.json",
      "api_credentials",
      "api_endpoint"
    ],
    "outputDescription": "Outputs a JSON configuration file named 'api_retrieval_config.json' containing endpoint details, authentication parameters, and format specifications needed to fetch daily metrics (clicks, conversions, cost, region, and date) from the ad platform.",
    "outputName": "api_retrieval_config.json",
    "promptInstruction": "Generate a JSON configuration file for retrieving ad performance data. The configuration should include: 1) API endpoint structure for accessing campaign metrics, 2) Required authentication parameters and token placement, 3) Data format specifications for daily metrics including clicks, conversions, costs, 4) Regional filtering parameters for UK, USA, and Canada, 5) Date range parameters for the 7-day campaign period. Format this as a valid JSON structure that can be used for automated API calls."
  },
  {
    "taskID": 191,
    "semanticTitleOfTask": "Daily Metrics JSON Generator",
    "taskDescription": "Transforms raw ad platform data into a structured JSON format containing daily performance metrics such as clicks, conversions, cost, region, date, and conversion rate, ensuring comprehensive coverage of each day in the campaign.",
    "inputDescription": "This task requires the raw ad platform metrics data obtained using the 'api_retrieval_config.json' file, including the daily timestamp, region, clicks, conversions, and cost fields, along with any relevant campaign identifiers and time ranges.",
    "inputRequired": [
      "raw_ad_data",
      "api_retrieval_config.json"
    ],
    "outputDescription": "Outputs a standardized JSON file named 'daily_metrics.json' that organizes daily performance metrics by date and region, including clicks, conversions, cost, and calculated conversion rates for the 7-day campaign.",
    "outputName": "daily_metrics.json",
    "promptInstruction": "Transform the following raw ad platform metrics into a standardized JSON format. Include: 1) Daily click counts organized by region (UK, USA, Canada), 2) Conversion numbers and rates, 3) Cost data in appropriate currency, 4) Timestamp for each data point, 5) Campaign identifier. Ensure the JSON structure is consistent with date > region > metrics (clicks, conversions, costs, rates)."
  },
  {
    "taskID": 192,
    "semanticTitleOfTask": "Metrics Data Validator and Formatter",
    "taskDescription": "Validates the daily metrics JSON data to ensure required fields are present, numeric fields are correct, date formats are standardized, regional data is included, and the final output is properly structured for analysis.",
    "inputDescription": "Requires the unvalidated 'daily_metrics.json' file, a reference schema or guidelines specifying the presence of date, region, clicks, conversions, cost, and conversion_rate fields, and rules for numeric formatting, date validation, and correct ordering by date.",
    "inputRequired": [
      "daily_metrics.json"
    ],
    "outputDescription": "Outputs a validated JSON file named 'validated_daily_metrics.json' that is properly formatted, includes correct date formats, numeric fields, sorted data entries, accurate conversion rates, and removes any extraneous fields.",
    "outputName": "validated_daily_metrics.json",
    "promptInstruction": "Validate and format the provided metrics JSON data according to these requirements: 1) Verify all required fields are present (date, region, clicks, conversions, cost, conversion_rate), 2) Ensure date format follows YYYY-MM-DD, 3) Confirm regional data exists for all three target countries, 4) Validate that numeric fields are correct, 5) Calculate and verify conversion rates match the ratio of clicks to conversions, 6) Format numeric values appropriately, 7) Remove any extraneous fields, 8) Sort entries chronologically. Flag any validation errors and maintain data integrity in the final JSON structure."
  },
  {
    "taskID": 190,
    "semanticTitleOfTask": "Parse JSON Metrics Data",
    "taskDescription": "This task reads the daily_metrics.json file, extracts fields for each date and region, handles null values by replacing them with '0', and organizes the data into a structured format for subsequent conversions and CSV generation steps.",
    "inputDescription": "The task requires the daily_metrics.json content, which includes date, country, clicks, conversions, and cost fields, as well as any instructions on how to handle missing or null values and how to format numerical data.",
    "inputRequired": [
      "daily_metrics.json",
      "formatting_instructions"
    ],
    "outputDescription": "A structured in-memory representation of the parsed metrics, preserving date, country, clicks, conversions, and cost data. All numerical values are formatted to two decimal places, and null values are replaced with '0'.",
    "outputName": "parsed_metrics_data",
    "promptInstruction": "You are a data parsing specialist. Please parse the provided daily metrics JSON data and convert it into a structured format. The input JSON contains daily traffic metrics including date, country, clicks, conversions, and cost. Extract all fields and organize them into a clean structure that maintains the relationship between metrics and their corresponding date/region. Handle any null values by replacing them with '0'. Format all numerical values to 2 decimal places. Return the parsed data in a consistent structure that preserves all relationships between metrics."
  },
  {
    "taskID": 190,
    "semanticTitleOfTask": "Calculate Conversion Rates from Metrics",
    "taskDescription": "This task takes the structured dataset of daily metrics, calculates the conversion rate as (conversions / clicks) * 100, and adds this percentage to each day/region entry. It ensures that zero-click cases default to a 0.00% conversion rate, returning a fully updated dataset.",
    "inputDescription": "It requires the structured metrics data from parsed_metrics_data, and any instructions about how to round the conversion rate or handle zero clicks. The data is presumably a JSON array or object containing date, country, clicks, conversions, and cost fields.",
    "inputRequired": [
      "parsed_metrics_data",
      "conversion_rate_format"
    ],
    "outputDescription": "The output is the updated metrics data structure including a new field for the calculated conversion rate. Each entry now retains its date, country, clicks, conversions, cost, and includes a conversionRate percentage string such as '12.34%'.",
    "outputName": "metrics_with_conversion_rates",
    "promptInstruction": "You are a metrics analyst. Using the parsed metrics data, calculate the conversion rate for each day/region combination. The conversion rate should be calculated as (conversions/clicks)*100 and expressed as a percentage. When clicks are zero, set the conversion rate to '0.00%'. Round all conversion rates to 2 decimal places. Handle any potential division by zero errors gracefully. Return the complete dataset with the new conversion rate calculations added to each entry."
  },
  {
    "taskID": 190,
    "semanticTitleOfTask": "Generate CSV File from Metrics",
    "taskDescription": "This task converts the updated metrics dataset, which includes conversion rates, into a properly formatted CSV file. It creates columns for Date, Country, Clicks, Conversions, Cost, and Conversion Rate, sorts data by date and then country, and ensures all numeric fields match specified formats.",
    "inputDescription": "It requires the final dataset from metrics_with_conversion_rates, along with CSV column headers and any formatting instructions, including how to sort by date and country, how to represent numbers, and how to handle commas or special characters in fields if present.",
    "inputRequired": [
      "metrics_with_conversion_rates",
      "csv_column_headers"
    ],
    "outputDescription": "A complete CSV file (TrafficSummary.csv) with one header row and subsequent rows for each date/region combination. Columns are Date (YYYY-MM-DD), Country (text), Clicks (number), Conversions (number), Cost (two decimals), and Conversion Rate (percentage with two decimals and % symbol). Sorting is by date, then by country.",
    "outputName": "TrafficSummary.csv",
    "promptInstruction": "You are a CSV formatting specialist. Convert the provided metrics data into a properly formatted CSV file. Include the following columns in order: Date, Country, Clicks, Conversions, Cost, Conversion Rate. Format the CSV with these specifications: • Date format: YYYY-MM-DD • Country: Full country name (USA, UK, or Canada) • Clicks: Whole numbers • Conversions: Whole numbers • Cost: Currency format with 2 decimal places (e.g., 123.45) • Conversion Rate: Percentage with 2 decimal places and % symbol (e.g., 10.25%) Add appropriate headers as the first row. Ensure all values are properly escaped if they contain commas. Sort the data first by date, then by country."
  },
  {
    "taskID": 185,
    "semanticTitleOfTask": "Generate Comprehensive Performance Analysis Report (10% Conversion Target)",
    "taskDescription": "This task uses data from TrafficSummary.csv to evaluate the campaign's performance against a 10% conversion goal, analyzing overall clicks, conversions, regional breakdown (UK, USA, Canada), peak days, and key trends. It then produces a concise written summary of findings and recommendations.",
    "inputDescription": "Requires the TrafficSummary.csv file with daily clicks, conversions, cost data, and details on each region. Also needs the 10% conversion target for comparison and any cost data for efficiency analysis.",
    "inputRequired": [
      "TrafficSummary.csv"
    ],
    "outputDescription": "Generates a text file (analysis_report.txt) providing an overall performance summary, regional comparison, cost insights (if available), and suggestions for improvement, referencing the 10% conversion target.",
    "outputName": "analysis_report.txt",
    "promptInstruction": "Please produce a thorough textual analysis based on 'TrafficSummary.csv,' covering: (1) total clicks and conversions vs. 10% target, (2) daily and regional breakdown (UK, USA, Canada), (3) peak performance days, and (4) cost efficiency if available. Provide key insights, trends, and recommendations. Format in clear sections and keep tone professional but accessible."
  },
  {
    "taskID": 227,
    "semanticTitleOfTask": "Generate Performance Visualization Graph (Daily Clicks & Conversions)",
    "taskDescription": "This task uses data from TrafficSummary.csv to create a visual chart illustrating daily clicks and conversions across regions (UK, USA, Canada). It plots metrics from Thursday to Thursday, with separate lines for each region and a professional, easy-to-read legend.",
    "inputDescription": "Takes the structured data from TrafficSummary.csv, including daily clicks, conversions, dates, and region identifiers. Also uses formatting instructions (axes labels, color scheme, and legend placement) to ensure a clear and professional graph.",
    "inputRequired": [
      "TrafficSummary.csv"
    ],
    "outputDescription": "Outputs a performance_graph.jpg showing daily clicks and conversions per region, with a date-based x-axis and distinct lines for each region (UK, USA, Canada). The chart title, legend, and color scheme are included for clarity.",
    "outputName": "performance_graph.jpg",
    "promptInstruction": "Create a clear line chart of daily clicks and conversions by region (UK, USA, Canada) using data from 'TrafficSummary.csv.' The x-axis shows dates (Thu-Thu). The y-axis displays the number of clicks/conversions. Draw separate lines for each region, include a legend, and use distinct colors. Label axes and provide a title: 'TikTok Campaign Performance by Region.' Ensure the visualization is suitable for business presentations."
  },
  {
    "taskID": 190,
    "semanticTitleOfTask": "Parse Campaign Performance CSV Data",
    "taskDescription": "This task reads the CSV file with campaign data, organizes the daily metrics, calculates totals and conversion rates, and prepares a structured data object.",
    "inputDescription": "One input: 'TrafficSummary.csv', which contains daily clicks, conversions, region, cost, and conversion rates for a 7-day campaign focusing on UK, USA, and Canada. The task needs to identify daily metrics per region, total clicks, total conversions, daily and overall conversion rates, and total cost (if present).",
    "inputRequired": [
      "TrafficSummary.csv"
    ],
    "outputDescription": "A structured data object containing the aggregated metrics for each day and region, including any flagged anomalies or missing data.",
    "outputName": "parsed_campaign_data",
    "promptInstruction": "As a data analyst, parse the provided CSV file containing TikTok Mastery campaign performance data. Create a structured summary that includes: • Daily metrics for each region (UK, USA, Canada) • Total clicks per region and overall • Total conversions per region and overall • Daily and overall conversion rates • Total cost data if available. Ensure all numeric values are properly formatted and calculated. Flag any anomalies or missing data."
  },
  {
    "taskID": 223,
    "semanticTitleOfTask": "Generate Performance Analysis Summary",
    "taskDescription": "Analyze the structured campaign data to produce an in-depth text summary, highlighting performance against the 10% conversion goal, regional breakdown, budget usage, and daily trends.",
    "inputDescription": "One input: 'parsed_campaign_data' from Task 1, which contains the compiled metrics (clicks, conversions, costs, etc.) organized by date and region.",
    "inputRequired": [
      "parsed_campaign_data"
    ],
    "outputDescription": "A text summary file named 'PerformanceInsights.txt' that compares campaign performance to the 10% conversion goal, details regional results, identifies key insights, and includes recommendations.",
    "outputName": "PerformanceInsights.txt",
    "promptInstruction": "As a marketing analyst, create a comprehensive performance summary of the TikTok Mastery campaign using the processed data. Include: • Executive Summary: Overall campaign performance vs 10% conversion goal • Regional Analysis: Performance breakdown by country (UK, USA, Canada) • Daily Trends: Notable patterns in traffic and conversions, especially during peak days (Thu-Sun) • Cost Analysis: Budget utilization and cost per conversion (if available) • Key Insights: Top-performing regions, best-performing days, and recommendations. Format the analysis in clear sections with bullet points where appropriate. Use specific numbers and percentages to support findings."
  },
  {
    "taskID": 227,
    "semanticTitleOfTask": "Create Performance Visualization Graph",
    "taskDescription": "Develop a dual-axis visualization that showcases daily clicks and conversion rate by region, highlighting the target 10% conversion threshold and peak performance days.",
    "inputDescription": "One input: 'parsed_campaign_data' from Task 1, containing daily metrics, including clicks, conversions, and region data over a 7-day period.",
    "inputRequired": [
      "parsed_campaign_data"
    ],
    "outputDescription": "A JPG image file named 'performance_graph_2.jpg' depicting the campaign’s daily clicks and conversion rates by region, with clear labels for dates, regions, legend, and a reference for the 10% conversion target.",
    "outputName": "performance_graph_2.jpg",
    "promptInstruction": "Create a dual-axis visualization showing: • X-axis: Campaign dates (7 days, Thursday to Thursday) • Primary Y-axis: Daily clicks by region • Secondary Y-axis: Conversion rates. Include color-coded lines/bars for each region (UK, USA, Canada), labeling peak performance periods (Thu-Sun) and displaying a 10% conversion target line. Use a clean, professional design with readable fonts and contrasting colors."
  },
  {
    "taskID": 190,
    "semanticTitleOfTask": "Compile Final Performance Report Package",
    "taskDescription": "Combine the text-based performance insights and the visualization into a final stakeholder deliverable that summarizes the entire campaign performance and key takeaways.",
    "inputDescription": "Two inputs: 'PerformanceInsights.txt' from Task 2 and 'performance_graph_2.jpg' from Task 3. The final document should reference these materials, provide context, and conclude with recommendations.",
    "inputRequired": [
      "PerformanceInsights.txt",
      "performance_graph_2.jpg"
    ],
    "outputDescription": "A packaged final document (or file) named 'final_performance_package' containing the overall performance summary, the chart reference, and key takeaways to inform future campaigns.",
    "outputName": "final_performance_package",
    "promptInstruction": "Create a structured document that: • Introduces the campaign objective and target metrics • Incorporates the performance insights text • References and explains the performance visualization • Concludes with key takeaways and recommendations. Format the document with clear headings, professional spacing, and proper citation of data sources. Ensure all numbers and percentages are consistent across all included materials."
  }
]

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