ad-campaign-analyzer SKILL.md skillA
ad-campaign-analyzer from gooseworks-ai/goose-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gooseworks-ai/goose-skills/ad-campaign-analyzer@git:20261025.6fac613Pins git:20261025.6fac613 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gooseworks-ai/goose-skills
- Path
skills/shared/ad-campaign-analyzer/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261025.6fac613, committed Oct 25, 2026
- First version recorded
- Oct 23, 2026
- Size
- 13,561 bytes
- Repository stars
- 1,302
- License
- MIT
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
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 Take raw campaign performance data and turn it into clear decisions. This skill doesn't just summarize metrics — it diagnoses problems, identifies winners, checks statistical significance, and tells you exactly what to cut, scale, and test next. Then it goes further: it compares channels on equal terms, finds where you're over-spending vs under-spending relative to results, and produces a concrete budget reallocation plan. **Core principle:** Most startup founders check their ad dashboard, see a ROAS number, and either panic or celebrate. This skill gives you the nuanced analysis a paid media specialist would: what's actually significant, what's noise, and where your next dollar should go. It also solves the allocation problem — most startups either spread budget too thin across channels (no channel gets enough to learn) or dump everything into one channel (missing cheaper opportunities elsewhere). ## When to Use - "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?" …
Read the whole file at its exact version.
How to install
mdr add gooseworks-ai/goose-skills/ad-campaign-analyzer@sha256:b65e4e3f6627c60eThe line at the top of this page pins the label git:20261025.6fac613, 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.
[](https://markdownregistry.com/a/art_akn5ebk7f4kwsjwp)
0 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 23, 2026 and Oct 25, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261025.6fac613 latest | 2026-10-25 | 6fac613 | 13,561 B | A | view · diff |
| git:20261023.4cd1948 | 2026-10-23 | 4cd1948 | 13,573 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13561 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
gooseworks-ai/goose-skills · 1,302 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_akn5ebk7f4kwsjwp GET https://markdownregistry.com/api/v1/resolve?ref=gooseworks-ai/goose-skills/ad-campaign-analyzer GET https://markdownregistry.com/api/v1/blob/b65e4e3f6627c60e42e49a531a5936108f12096b5272348de9db21182c07e437
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.
More from gooseworks-ai/goose-skills
Every file in gooseworks-ai/goose-skills