Audience Builder
Research targeting options honestly (interests, lookalikes, size estimates) and tell you when broad beats all of them. Use before a launch or when delivery seems stuck in the wrong crowd.
Install
$ agentstack add skill-kelpi-ai-meta-ads-skills-audience-builder ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-kelpi-ai-meta-ads-skills-audience-builder) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Audience Builder
Doctrine
Targeting is mostly the algorithm's job now: Meta removed exclusion options in 2025, retired interest categories in January 2026, and Andromeda aims by reading the ad. Audience work in 2026 is (a) first-party assets (customer lists, lookalikes) that give the system a seed, and (b) knowing when broad is simply better. An honest audience skill often ends with "go broad and fix the angle instead."
When to use
- Before launch, if you have a customer list worth seeding.
- When delivery lands in the wrong crowd ("my ad for young women went to older men"): usually an angle problem wearing a targeting costume.
- Needs a Meta Ads MCP (read for research, write only for creating audiences you approve).
Run it
Audience research for my offer: [ONE-LINE OFFER + WHO from my angles]
1. Search interests and behaviors related to my category. For each, give the estimated audience size.
2. If I have a customer list or purchasers: propose a custom audience plus a 1% lookalike, with estimated sizes. Draft only, do not create yet.
3. Then be honest with me: given my budget of [$X/day], would broad targeting likely beat these? Explain in two sentences using what my ad creative already signals about who it is for.
4. Wait for my pick before creating anything.Guardrails
- Research is read-only; audience creation happens only on explicit approval.
- Never stack interests to feel in control. If the recommendation is broad, say broad.
- If an ad set was built on since-retired targeting options, flag it: those stopped delivering after January 15, 2026.
Good output looks like
A short table of real options with sizes, one honest recommendation, and no audience created that you did not ask for by name.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: kelpi-ai
- Source: kelpi-ai/meta-ads-skills
- License: MIT
- Homepage: https://kelpi.ai/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.