Which AI agents support Report Batch?

This skill uses the open SKILL.md standard. Use it through an MCP-compatible agent connected to Agensi, and check the compatibility information on this page for confirmed agents and required capabilities.

How do I use Report Batch?

Connect your AI agent to Agensi through MCP, then ask it to use Report Batch on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.

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+18 agents

Report Batch

Generate monthly HTML and CSV reports from normalized marketing data, with currency-separated totals and source rows.

$29

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Converts to your local currency at checkout

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Report Batch

Example session with this skill installed

Generate the October 2026 report from the bundled daily.csv. Separate currencies, trace source rows, and leave missing revenue unavailable.

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Compiled the report batch

Reproduced local demo

The following complete JSON report was generated by the packaged Python runner using only synthetic files. The HTML report and generated output files are also included in the ZIP.

{
  "product": "Report Batch",
  "month": "2026-10",
  "sourceRows": 3,
  "excludedRows": 1,
  "summaries": [
    {
      "client": "Redwood Studio",
      "currency": "EUR",
      "spend": "50.00",
      "impressions": "800",
      "clicks": "40",
      "conversions": "0",
      "revenue": null,
      "ctr_percent": "5.0000",
      "cpc": "1.2500",
      "cpa": null,
      "roas": null
    },
    {
      "client": "Redwood Studio",
      "currency": "USD",
      "spend": "300.00",
      "impressions": "3000",
      "clicks": "150",
      "conversions": "15",
      "revenue": "900",
      "ctr_percent": "5.0000",
      "cpc": "2.0000",
      "cpa": "20.0000",
      "roas": "3.0000"
    }
  ],
  "ledger": [
    {
      "source": "examples\\daily.csv",
      "physicalLine": 2,
      "date": "2026-10-01",
      "client": "Redwood Studio",
      "channel": "Google Ads",
      "currency": "USD",
      "spend": "100.00",
      "impressions": "1000",
      "clicks": "50",
      "conversions": "5",
      "revenue": "400"
    },
    {
      "source": "examples\\daily.csv",
      "physicalLine": 3,
      "date": "2026-10-02",
      "client": "Redwood Studio",
      "channel": "Google Ads",
      "currency": "USD",
      "spend": "200.00",
      "impressions": "2000",
      "clicks": "100",
      "conversions": "10",
      "revenue": "500"
    },
    {
      "source": "examples\\daily.csv",
      "physicalLine": 4,
      "date": "2026-10-01",
      "client": "Redwood Studio",
      "channel": "Meta Ads",
      "currency": "EUR",
      "spend": "50.00",
      "impressions": "800",
      "clicks": "40",
      "conversions": "0",
      "revenue": null
    }
  ],
  "warnings": [],
  "assumptions": [
    "Normalized daily inputs; one row per date/client/channel/currency.",
    "Currency labels are separated without FX conversion or ISO-code lookup.",
    "Conversions must have the same definition across channels for client totals to be meaningful.",
    "Missing revenue makes group revenue and ROAS unavailable; missing values are never treated as zero.",
    "Ratios rounded to 4 decimal places; zero denominators are unavailable.",
    "No causal performance claims or automatic report delivery."
  ]
}

Review the report before operational use. The local run does not establish buyer-side hosted execution, actual customer outcomes, or live platform import/integration. No source file was overwritten and no external messages were sent.

## Reproduced local demo The following complete JSON report was generated by the packaged Python runner using only synthetic files. The HTML report and generated output files are also included in the ZIP. ```json { "product": "Report Batch", "month": "2026-10", "sourceRows": 3, "excludedRows": 1, "summaries": [ { "client": "Redwood Studio", "currency": "EUR", "spend": "50.00", "impressions": "800", "clicks": "40", "conversions": "0", "revenue": null, "ctr_percent": "5.0000", "cpc": "1.2500", "cpa": null, "roas": null }, { "client": "Redwood Studio", "currency": "USD", "spend": "300.00", "impressions": "3000", "clicks": "150", "conversions": "15", "revenue": "900", "ctr_percent": "5.0000", "cpc": "2.0000", "cpa": "20.0000", "roas": "3.0000" } ], "ledger": [ { "source": "examples\\daily.csv", "physicalLine": 2, "date": "2026-10-01", "client": "Redwood Studio", "channel": "Google Ads", "currency": "USD", "spend": "100.00", "impressions": "1000", "clicks": "50", "conversions": "5", "revenue": "400" }, { "source": "examples\\daily.csv", "physicalLine": 3, "date": "2026-10-02", "client": "Redwood Studio", "channel": "Google Ads", "currency": "USD", "spend": "200.00", "impressions": "2000", "clicks": "100", "conversions": "10", "revenue": "500" }, { "source": "examples\\daily.csv", "physicalLine": 4, "date": "2026-10-01", "client": "Redwood Studio", "channel": "Meta Ads", "currency": "EUR", "spend": "50.00", "impressions": "800", "clicks": "40", "conversions": "0", "revenue": null } ], "warnings": [], "assumptions": [ "Normalized daily inputs; one row per date/client/channel/currency.", "Currency labels are separated without FX conversion or ISO-code lookup.", "Conversions must have the same definition across channels for client totals to be meaningful.", "Missing revenue makes group revenue and ROAS unavailable; missing values are never treated as zero.", "Ratios rounded to 4 decimal places; zero denominators are unavailable.", "No causal performance claims or automatic report delivery." ] } ``` Review the report before operational use. The local run does not establish buyer-side hosted execution, actual customer outcomes, or live platform import/integration. No source file was overwritten and no external messages were sent.

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About this skill

Includes a standalone Python runner, agent workflow, synthetic input, generated HTML/CSV/JSON demo, and a documented input contract. Decimal arithmetic and duplicate-key checks help avoid silent aggregation mistakes.

Requires Python 3.11+ and local files. No dependencies, API keys or network requests. Native Google Ads/Meta export connectors are not included: source data must first be mapped to the documented columns and daily grain. Attribution definitions and source totals require human review. No causal explanations, advertising changes, scheduling or email delivery.

Delivery status

Local execution of the complete ZIP has been tested with synthetic examples. Agensi hosted delivery and execution of bundled Python files is not yet verified. This is a pilot release, not a claim of customer outcomes or sales. MIT licensed. No exclusive rights or indefinite support entitlement.

Build a reproducible monthly report from normalized daily marketing CSVs. See client totals, CTR, CPC, CPA and ROAS alongside the exact included source rows. Different currencies stay separate; missing revenue and zero denominators remain unavailable. Includes a standalone Python runner, agent workflow, synthetic input, generated HTML/CSV/JSON demo, and a documented input contract. Decimal arithmetic and duplicate-key checks help avoid silent aggregation mistakes. Requires Python 3.11+ and local files. No dependencies, API keys or network requests. Native Google Ads/Meta export connectors are not included: source data must first be mapped to the documented columns and daily grain. Attribution definitions and source totals require human review. No causal explanations, advertising changes, scheduling or email delivery. ## Delivery status Local execution of the complete ZIP has been tested with synthetic examples. Agensi hosted delivery and execution of bundled Python files is not yet verified. This is a pilot release, not a claim of customer outcomes or sales. MIT licensed. No exclusive rights or indefinite support entitlement.

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Requires

Python 3.11+

Agent/client with local terminal and filesystem access

Complete bundled scripts/ and common.py files

Python

Listed2 days ago

Report Batch

Report Batch

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Report Batch

Report Batch

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