budget-optimizer
Skill331 starsChanged 7 months agoMITView on GitHub
Analyze spend efficiency across campaigns and adsets. Recommends budget shifts from underperformers to winners.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- Synter-Media-AI/mcp-servertheir own version, first seen Oct 18, 2026
- wpfbcr/AtlasAgenttheir own version, first seen Oct 13, 2026
- teachskillofskills-ai/DigitalMarketingPro-techshutheir own version, first seen Oct 11, 2026
- Synter-Media-AI/free-skillstheir own version, first seen Oct 11, 2026
- OneWave-AI/claude-skillstheir own version, first seen Sep 21, 2026
- indranilbanerjee/digital-marketing-protheir own version, first seen Feb 12, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- indranilbanerjee/digital-marketing-pro★ 934same name
- OneWave-AI/claude-skills★ 378same name
- Synter-Media-AI/mcp-server★ 21same name
- Synter-Media-AI/free-skills★ 4same name
- wpfbcr/AtlasAgent★ 2same name
- teachskillofskills-ai/DigitalMarketingPro-techshu★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ad-copy-generatorSkill
- ad-creative-monitorSkill
- ad-uploadSkill
- meta-adsSkill
- pixel-capiSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 38
Check if campaigns are on pace for their daily/lifetime budgets.
- Distinctive: line 75
Always shows current vs. recommended budget
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Budget Optimizer — Put Money Where It Works
Most ad accounts have the same problem: budget spread evenly across campaigns when performance isn't even close to even. This skill finds where your money works hardest and recommends shifts.
Reports
Efficiency Analysis
Rank campaigns/adsets by cost efficiency (CPA, ROAS, or CPC depending on objectives).
Tell me: "Where's my money working best?"
Or: "Analyze spend efficiency"Budget Shift Recommendations
Compare performance across campaigns, recommend moving budget from losers to winners.
Tell me: "How should I shift my budget?"
Or: "Optimize my ad spend"Spend Pacing
Check if campaigns are on pace for their daily/lifetime budgets.
Tell me: "Am I overspending or underspending?"
Or: "Check spend pacing"Scripts
# Efficiency ranking
./run.sh efficiency [--account act_123] [--preset last_7d]
# Spend pacing check
./run.sh pacing [--account act_123]Invocation
- Pull campaign and adset level insights
- Calculate efficiency metrics (CPA, ROAS, CPC relative to spend)
- Compare against benchmarks in
ad-config.json - Identify top and bottom performers
- Calculate recommended budget shifts (% based)
- Present recommendations with clear reasoning
- Never adjust budget without explicit approval
- Log decisions to
workspace/brand/learnings.md
Safety
Budget changes are high-risk actions. This skill:
- Always shows current vs. recommended budget
- Explains the reasoning (data-backed)
- Waits for explicit "yes" before executing
- Logs every budget change for audit trail
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

