meta-ads
Skill1 starsChanged 23 days agoMITView on GitHub
Meta (Facebook/Instagram) Ads platform expertise - campaign/ad set/ad hierarchy, objectives, Advantage+, budgets and bidding, audiences, placements, creatives, pixel/dataset and Conversions API, attribution, learning phase, breakdown effect, frequency and fatigue, delivery diagnostics, and the official Meta Ads MCP tool contracts. Use with ads-core whenever the work touches a Meta ad account.
27 other projects use a version of this.
Adopted by
Most recently taken up by
- jaydubya818/ClaudeClaw-Mission-Controltheir own version, first seen Nov 8, 2026
- webrenew/skillstheir own version, first seen Nov 1, 2026
- brainbytes-dev/everything-claude-marketingtheir own version, first seen Nov 1, 2026
- astDeniss/business-skillstheir own version, first seen Nov 1, 2026
- hoodini/ai-agents-skillstheir own version, first seen Oct 25, 2026
- nowork-studio/notfair-plugintheir own version, first seen Oct 14, 2026
Used with
Projects with it also use tiktok-ads, linkedin-ads and 4 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
hyperfx-aiSkilltiktok-ads
Plan and create TikTok advertising campaigns end-to-end via the Hyper MCP, with strict parameter validation for objective-specific requirements. Use when the user wants to launch TikTok ads, set up TikTok traffic or reach campaigns, configure conversions or app-promotion campaigns, upload TikTok video creatives, or analyze TikTok ad performance. Also triggers on tiktok marketing, tiktok campaign, tiktok ppc, or tiktok ads manager.
Also in 4 projects that use this
brainbytes-devSkilllinkedin-ads
LinkedIn advertising strategy for B2B lead generation, brand awareness, and recruitment. Use when running LinkedIn ad campaigns.
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refly-aiSkillgoogle-analytics
Integrate with Google Analytics for web metrics. Use when you need to: (1) retrieve website analytics reports, (2) track traffic and user metrics, or (3) analyze web performance data.
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huiferSkilllocal-seo
本地 SEO 分析和优化专家。自动检测项目是否需要本地 SEO,分析 NAP(Name, Address, Phone)一致性、本地关键词优化、Google Business Profile (GBP) 优化和本地结构化数据生成。提供本地商家搜索引擎排名优化建议,包括 NAP 标准化、本地关键词策略、GBP 完整性检查、评论策略、地图嵌入和本地 SEO 审计。
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indranilbanerjeeSkillkeyword-research
Research keywords via the connected data source: intent, gaps. Grouping → keyword-cluster. \"what keywords should we target\"
Also in 3 projects that use this
AnthropicSkillonboarding
Generate an onboarding checklist and first-week plan for a new hire. Use when someone has a start date coming up, building the pre-start task list (accounts, equipment, buddy), scheduling Day 1 and Week 1, or setting 30/60/90-day goals for a new team member.
Also in 3 projects that use this
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 27
- nowork-studio/toprank★ 4.1ksame name
- nowork-studio/notfair-plugin★ 4.1ksame name
- bighadj22/codflow★ 360same name
- TheMattBerman/meta-ads-kit★ 331same name
- hoodini/ai-agents-skills★ 295same name
- ivangfalco/ads-skills★ 267same name
- hyperfx-ai/marketing-skills★ 112same name
- boringmarketer/kimi-first★ 47same name
- boringmarketer/meta-ads-skill★ 37same name
- sepivip/meta-ads-skill★ 14same name
17 more not listed
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 repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- ads-auditSkill
- ads-budgetingSkill
- ads-client-onboardingSkill
- ads-communitySkill
- ads-competitor-researchSkill
- ads-coreSkill
- ads-creative-analysisSkill
- ads-landing-pageSkill
- ads-optimizationSkill
- ads-portfolioSkill
- ads-reportingSkill
- ads-strategySkill
- ads-trackingSkill
- google-adsSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 4 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 21 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 48
Use ads_get_field_context before unfamiliar fields.
- Very specific: line 60
Never pause a placement/age/gender/region segment because its average CPA is higher (breakdown effect).
- Distinctive: line 61
Never judge an ad set in learning, or a test before it has enough spend (at least 2x target CPA per variant as a floor - HEURISTIC).
- Distinctive: line 62
Never make several significant edits to one ad set in one day.
- Distinctive: line 63
Never switch the optimization event, attribution setting or dataset without approval (tracking change).
- Distinctive: line 64
Never run housing, employment, credit, or social-issue ads without the required special ad category.
“Common” is measured: kept by at least 6 in 10 of the 21 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
Meta Ads
Load with ads-core. This file is the map; open a reference only when the task needs it.
How Meta's delivery system actually works (read before judging anything)
- PLATFORM FACT - auction + optimizer. Each impression goes to the ad with the highest total value (bid x estimated action rate + ad quality). The optimizer allocates budget to where the next result is cheapest (marginal cost), not where the average CPA looks best.
- PLATFORM FACT - breakdown effect. Segment-level averages (placement, age, gender, region, device, ad within an ad set) routinely look "inefficient" while being the reason the total is efficient. Never pause or exclude a segment from a breakdown table alone. Judge at the level the system optimizes (campaign under Advantage+ campaign budget, ad set otherwise). See references/breakdown-effect.md.
- PLATFORM FACT - learning phase. An ad set learns after launch and after significant edits; Meta's guidance is about 50 optimization events within 7 days to exit. "Learning limited" means it is not getting enough. Verdicts on learning ad sets are noise. See references/learning-phase.md.
- PLATFORM FACT - attribution changed in 2026. Since 2026-01-12 the Ads Insights API no longer returns 7-day-view and 28-day-view windows. Available: 1-day click, 7-day click, 28-day click, 1-day engaged-view, 1-day view. Historical comparisons that used view windows are not like-for-like. See references/attribution-and-signals.md.
Hierarchy and what lives where
Ad account (act_...) currency, timezone, payment (human only)
└─ Campaign objective, buying type, Advantage+ campaign budget (CBO) on/off, special ad category
└─ Ad set optimization event, conversion location, budget (if no CBO), bid strategy, schedule,
audience + geo, placements, attribution setting
└─ Ad creative (image/video/carousel), primary text, headline, description, CTA, URL, UTMsObjectives (ODAX): Awareness, Traffic, Engagement, Leads, App promotion, Sales. For local lead gen use Leads with website conversion location optimized for a real lead event (or instant forms only if the CRM can qualify them). Do not optimize for clicks/landing page views when the business wants leads unless conversion volume is too low to learn - and say so.
Details: references/campaign-structure.md (structure, consolidation, Advantage+, bid strategies), references/targeting.md (geo radius, Advantage+ audience, custom audiences, lookalikes, special ad categories, exclusions).
Diagnose performance in this order
- Tracking first - is the optimization event firing, deduplicated (pixel + CAPI share
event_id), on the right dataset, with decent Event Match Quality? Bad signal makes every other conclusion wrong. (ads_get_dataset_quality,ads_get_dataset_stats) - Delivery state - learning / learning limited / limited by budget / bid cap / audience size / rejected ads. (
ads_get_ad_entitieswith effective_status,ads_get_errors) - Funnel decomposition - CPA = CPM / (CTR x CVR x 1000) for click-based results. Find which term moved: CPM (auction/competition/audience/season), CTR (creative/hook/fatigue/relevance), CVR (landing page, offer, form, tracking, lead quality).
- Creative - fatigue (rising frequency + falling CTR + rising CPM at stable spend), hook rate, hold rate. See references/creative-fatigue.md.
- Structure - fragmentation (too many ad sets splitting too little budget), overlapping audiences, too many ads per ad set, budgets below ~what the optimization event needs.
- Business truth - platform-reported leads vs CRM-qualified leads. A cheaper CPL with worse lead quality is not a win.
Delivery and relevance tools: references/delivery-diagnostics.md.
Using the official Meta Ads MCP
Exact tool names, params quirks and the paused-first launch sequence: references/mcp-tool-contracts.md. Key points:
- Creates (
ads_create_campaign,ads_create_ad_set,ads_create_ad) produce PAUSED objects.ads_activate_entityis the spend switch - it always needs an approved ticket. ads_update_entityedits any field; the gate inspects the payload (status ACTIVE = activation, budget fields = budget change, geo = geo expansion).- Use
ads_get_field_contextbefore unfamiliar fields; some params are JSON strings. - Budgets are in the account currency's minor unit (cents for USD): $57.50/day = 5750.
- Rate limits are real (ad set budget changes: 4 per hour per ad set; one edit per object per 30 s). Space writes out.
Workflows in this skill
- workflows/launch-campaign.md - Meta lead/sales campaign build, paused-first.
- workflows/account-audit.md - Meta-specific audit checklist with evidence fields.
- workflows/creative-refresh.md - fatigue check to brief to paused swap.
Never
- Never pause a placement/age/gender/region segment because its average CPA is higher (breakdown effect).
- Never judge an ad set in learning, or a test before it has enough spend (at least 2x target CPA per variant as a floor - HEURISTIC).
- Never make several significant edits to one ad set in one day; each can restart learning.
- Never switch the optimization event, attribution setting or dataset without approval (tracking change).
- Never run housing, employment, credit, or social-issue ads without the required special ad category; targeting is restricted there.
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