Individual skill
underspending-investigation
Investigate Google Ads accounts with significant underspending (pacing variance beyond your portfolio's tolerance). Auto-invoke when user says "investigate [account] underspending", "[account] underspending", "why is [account] underspending", or "diagnose underspend for [account]". Runs a universal investigation script, applies six diagnostic frameworks, and synthesizes a root-cause diagnosis with a budget recommendation (or explicit no-action call). Read-only — no mutations.
underspending-investigation/SKILL.md
Source commit 90f0e419f2d820789d5e50eee1237ab9fd14dfc6
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 80
- Repository last updated
- Aug 25, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- ai-skills Repository topic
- claude-code Repository topic
- google-ads Repository topic
- google-ads-api Repository topic
- ppc Repository topic
- ppc-automation Repository topic
- engineering Derived category
Files and excerpt
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Browse files
README.mddoc · 9,469 bytesSKILL.mdcore · 11,674 bytesSKILL.mdcore · 11,674 bytesSKILL.mdcore · 11,674 bytesexamples.mddoc · 6,701 bytesreferences/investigation-contract.mddoc · 8,465 bytesrules.mddoc · 8,346 bytesscripts/investigate_underspend.pyruns · 25,632 bytes
Read excerpt
# Underspending Investigation
**Purpose:** Investigate why a Google Ads account is underspending and
determine the root cause with actionable, data-backed recommendations — or
an explicit, equally-rigorous no-action call.
**Type:** Read-only investigation skill. Reads campaign, impression share,
and pacing data; never writes to Google Ads.
This skill deliberately does NOT:
- **Mutate anything** — no budget changes, no settings edits. The product is
a diagnosis and a recommendation; execution happens in your own change
process, human-approved.