/ad
Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto.
$ npx -y skills add aaron-he-zhu/aaron-marketing-skills --agent claude-codeShips with aaron-marketing. Installing the plugin gets this command.
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/ad
Context preview
What this command does when you run it.
Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto.
Command definition
ad.mddescription: "Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto."
argument-hint: "<goal-or-account> [--phase research|orchestrate|activate|scale]"
Paid Ads Command
Run the paid-ads lifecycle along the **ROAS loop** (Research → Orchestrate → Activate → Scale). Skills score on the [ROAS framework](../references/roas-benchmark.md) and operate from the user's **own-account manual export** — keyed ad-platform APIs are never required.
Route
Infer the ROAS-loop phase from the goal (or honor `--phase`) and route to the matching skill:
- **Research** — campaign-architect (account/campaign structure), audience-segment-builder (segments), search-term-miner (converting-query mining + negative-keyword lists), product-feed-optimizer (Shopping/PMax feed, title/attribute fixes); reuse budget-optimizer for spend; consult offer-claims-registry's live-offers table (`memory/claims/offers.md`) when structuring promo campaigns
- **Orchestrate** — ad-creative-builder, ad-test-designer, bid-strategy-planner (tCPA/tROAS target + learning-phase entry), landing-experience-checker (pre-launch Quality-Score + ad-to-page message-match preflight); reuse landing-optimizer for the post-click page; read approved wording from the claims projection and submit `[needs source]` items as `operation: propose` events to the claims registry
- **Activate** — choose the sibling that matches the request; this is a capability menu, not an automatic four-skill chain: conversion-signal-qa (build/verify tracking), placement-exclusion-manager (brand-safety exclusion lists), conversion-value-mapper (margin→value so tROAS optimizes profit, not orders), or ad-account-auditor (the RQS gate + launch go/no-go; O1/O2 judged against offer-claims-registry's ledger). A pre-launch account-audit request follows the exact narrow chain `conversion-signal-qa` first → `ad-account-auditor`; do not insert the placement or value builders unless the user separately requests that work or the completed gate routes a specific finding to remediation.
- **Scale** — paid-measurement-loop, attribution-reconciler, budget-pacing-monitor (over/under-spend pacing), fatigue-frequency-manager (frequency/CTR decay + creative rotation); reuse roi-calculator / report-generator / performance-analyzer
Rules
- `ad-account-auditor` is the launch gate: score RQS and enforce the five vetoes (R1/R2/O1/O2/A1) before any budget increase; for pre-launch account-audit intent, run conversion-signal-qa immediately before the auditor so R1/R2 can be trusted, and resolve unregistered claims via offer-claims-registry before the O1/O2 checks.
- `memory/events/claims.ndjson` is the claims/offers history. Other skills submit authorized `operation: propose` events through `registry-events.py`; `offer-claims-registry` alone accepts/rejects or mutates canonical state, while Markdown ledgers are generated views.
- Keyless Tier 1 — score from native ad-manager / GA4 / ecommerce exports the user provides; keyed Google Ads / Meta APIs are opt-in Tier-2/3 MCP only.
- Only `ad-account-auditor` computes the profile-weighted RQS; every other skill works one lever and hands off. `budget-optimizer` (reused from influencer) allocates spend across campaigns; in-platform bid strategy, search-term mining, and feed work are their own skills (`bid-strategy-planner`, `search-term-miner`, `product-feed-optimizer`).
- Label every metric Measured / User-provided / Estimated; never invent ROAS/CPA figures.
- **Scope edge — paid media vs neighbors**: approved claim/offer *wording* comes from the [offer-claims-registry](../protocol/offer-claims-registry/SKILL.md) projection (this discipline proposes, never adjudicates); creator whitelisting/Spark Ads enter via [content-amplifier](../influencer/activate/content-amplifier/SKILL.md) before paid execution here; [landing-experience-checker](../ad/orchestrate/landing-experience-checker/SKILL.md) owns the pre-launch ad-to-page message-match preflight while page CRO itself is [landing-optimizer](../influencer/report/landing-optimizer/SKILL.md); cross-campaign spend allocation reuses [budget-optimizer](../influencer/target/budget-optimizer/SKILL.md); paid search demand research stays with SEO/GEO's [keyword-research](../seo-geo/survey/keyword-research/SKILL.md) when the question is organic-first.
Output
Return inline artifacts by default. Files may be written only when the user explicitly asks and the runtime can write.
Read more
description: "Run a paid-ads (ROAS) workflow: audience segments, account structure, ad creative, experiment design, pre-launch signal QA + the account-audit gate, measurement, and attribution. Not sure? Use /aaron-marketing:auto." argument-hint: "<goal-or-account> [--phase research|orchestrate|activate|scale]"
Paid Ads Command
Run the paid-ads lifecycle along the **ROAS loop** (Research → Orchestrate → Activate → Scale). Skills score on the [ROAS framework](../references/roas-benchmark.md) and operate from the user's **own-account manual export** — keyed ad-platform APIs are never required.
Route
Infer the ROAS-loop phase from the goal (or honor `--phase`) and route to the matching skill:
- **Research** — campaign-architect (account/campaign structure), audience-segment-builder (segments), search-term-miner (converting-query mining + negative-keyword lists), product-feed-optimizer (Shopping/PMax feed, title/attribute fixes); reuse budget-optimizer for spend; consult offer-claims-registry's live-offers table (`memory/claims/offers.md`) when structuring promo campaigns
- **Orchestrate** — ad-creative-builder, ad-test-designer, bid-strategy-planner (tCPA/tROAS target + learning-phase entry), landing-experience-checker (pre-launch Quality-Score + ad-to-page message-match preflight); reuse landing-optimizer for the post-click page; read approved wording from the claims projection and submit `[needs source]` items as `operation: propose` events to the claims registry
- **Activate** — choose the sibling that matches the request; this is a capability menu, not an automatic four-skill chain: conversion-signal-qa (build/verify tracking), placement-exclusion-manager (brand-safety exclusion lists), conversion-value-mapper (margin→value so tROAS optimizes profit, not orders), or ad-account-auditor (the RQS gate + launch go/no-go; O1/O2 judged against offer-claims-registry's ledger). A pre-launch account-audit request follows the exact narrow chain `conversion-signal-qa` first → `ad-account-auditor`; do not insert the placement or value builders unless the user separately requests that work or the completed gate routes a specific finding to remediation.
- **Scale** — paid-measurement-loop, attribution-reconciler, budget-pacing-monitor (over/under-spend pacing), fatigue-frequency-manager (frequency/CTR decay + creative rotation); reuse roi-calculator / report-generator / performance-analyzer
Rules
- `ad-account-auditor` is the launch gate: score RQS and enforce the five vetoes (R1/R2/O1/O2/A1) before any budget increase; for pre-launch account-audit intent, run conversion-signal-qa immediately before the auditor so R1/R2 can be trusted, and resolve unregistered claims via offer-claims-registry before the O1/O2 checks.
- `memory/events/claims.ndjson` is the claims/offers history. Other skills submit authorized `operation: propose` events through `registry-events.py`; `offer-claims-registry` alone accepts/rejects or mutates canonical state, while Markdown ledgers are generated views.
- Keyless Tier 1 — score from native ad-manager / GA4 / ecommerce exports the user provides; keyed Google Ads / Meta APIs are opt-in Tier-2/3 MCP only.
- Only `ad-account-auditor` computes the profile-weighted RQS; every other skill works one lever and hands off. `budget-optimizer` (reused from influencer) allocates spend across campaigns; in-platform bid strategy, search-term mining, and feed work are their own skills (`bid-strategy-planner`, `search-term-miner`, `product-feed-optimizer`).
- Label every metric Measured / User-provided / Estimated; never invent ROAS/CPA figures.
- **Scope edge — paid media vs neighbors**: approved claim/offer *wording* comes from the [offer-claims-registry](../protocol/offer-claims-registry/SKILL.md) projection (this discipline proposes, never adjudicates); creator whitelisting/Spark Ads enter via [content-amplifier](../influencer/activate/content-amplifier/SKILL.md) before paid execution here; [landing-experience-checker](../ad/orchestrate/landing-experience-checker/SKILL.md) owns the pre-launch ad-to-page message-match preflight while page CRO itself is [landing-optimizer](../influencer/report/landing-optimizer/SKILL.md); cross-campaign spend allocation reuses [budget-optimizer](../influencer/target/budget-optimizer/SKILL.md); paid search demand research stays with SEO/GEO's [keyword-research](../seo-geo/survey/keyword-research/SKILL.md) when the question is organic-first.
Output
Return inline artifacts by default. Files may be written only when the user explicitly asks and the runtime can write.
120 marketing skills — brand narrative, SEO/GEO, influencer, paid ads, email, launch, social — on one contract. A library of Claude Skills and slash commands that turns a chat agent into a marketing operator.
Other commands on aaron-marketing.
- /auto
Natural-language front door to the marketing pack (narrative/TALE, SEO/GEO/SITE, social/ECHO, email/SEND, Paid Ads/ROAS, influencer/STAR, launch/RAMP). Use when a marketing goal is open-ended or spans disciplines, when it is unclear which skill fits, or for requests like 'help
Open command - /email
Run an email-marketing (SEND) workflow: deliverability/consent setup, segmentation, email creative, lifecycle flows, newsletter monetization, send-testing, and the email-quality audit gate. Not sure? Use /aaron-marketing:auto.
Open command - /influencer
Run an influencer-marketing (STAR) workflow: audience & creator scouting, campaign targeting, briefs, outreach, amplification, and ROI reporting. Not sure? Use /aaron-marketing:auto.
Open command - /launch
Run a product-launch (RAMP) workflow: positioning and launch tiering, window/early-access design, message house and asset kits, the launch-readiness gate with a T-1 go/no-go, launch-day execution, and the post-launch prove loop. Not sure? Use /aaron-marketing:auto.
Open command - /narrative
Run a brand-narrative & messaging (TALE) workflow: trace the current message and positioning truth, architect the durable message house/voice/story canon, land it consistently across every surface, and evaluate resonance with tests and drift monitoring. Not sure? Use
Open command - /seo-geo
SEO/GEO end-to-end along the SITE loop: survey demand and competitors, implement content, tune quality/tech/on-page, and evaluate authority/rankings/reports/memory (--phase survey|implement|tune|evaluate). Not sure? Use /aaron-marketing:auto.
Open command

