ad-campaign-analyzer SKILL.md skillA

ad-campaign-analyzer from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add francostino/opencode-skills-collection/ad-campaign-analyzer@git:20261015.fac8b7e

Pins git:20261015.fac8b7e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
francostino/opencode-skills-collection
Path
bundled-skills/ad-campaign-analyzer/SKILL.md
Versions recorded
2
Latest version
git:20261015.fac8b7e, committed Oct 15, 2026
First version recorded
Jul 17, 2026
Size
17,397 bytes
Repository stars
87
License
MIT

Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Ad Campaign Analyzer

## Overview

Take raw campaign performance data and turn it into testable decisions. Normalize the inputs, distinguish descriptive results from causal evidence, quantify uncertainty when the data supports it, and propose bounded budget experiments.

**Core principle:** Use verified measurements and explicit uncertainty to prioritize tests. This guide supports analysis, not a guarantee of optimal allocation or specialist performance.

## When to Use This Skill

- "Analyze my Google Ads performance"
- "Which ads should I kill?"
- "Is this campaign working?"
- "Where am I wasting ad spend?"
- "Optimize my Meta Ads"
- "How should I split my ad budget?"
- "Should I spend more on Google or Meta?"
- "Reallocate my ad spend across channels"
- "Where am I getting the best return?"
- "I have $X/month for ads — how should I distribute it?"

## Phase 0: Intake

1. **Campaign data** — One of:
   - CSV export from Google Ads / Meta Ads Manager / LinkedIn Campaign Manager
   - Pasted performance table
   - Screenshots of dashboard (we'll extract the data)
2. **Platform(s)** — Google / Meta / LinkedIn / All
3. **Time period** — What date range does this cover?
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add francostino/opencode-skills-collection/ad-campaign-analyzer@sha256:a26b8da6a7c3f389

The line at the top of this page pins the label git:20261015.fac8b7e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_c2eiskkixiz7qlea.svg)](https://markdownregistry.com/a/art_c2eiskkixiz7qlea)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jul 17, 2026 and Oct 15, 2026, about one every 90 days.

versioncommittedcommitsizeaudit
git:20261015.fac8b7e latest2026-10-15 fac8b7e 17,397 BA view · diff
git:20260717.50d224e2026-07-17 50d224e 17,185 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17397 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_c2eiskkixiz7qlea
GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/ad-campaign-analyzer
GET https://markdownregistry.com/api/v1/blob/a26b8da6a7c3f389a7b2244957fc2c1f5962b88b50a7dd18f1c92e55f82be976

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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