Skills

Compute a business's CAC and ROAS family metrics from real spend and outcome data, then judge whether the spend is healthy against three references - the business's own break-even, its own trailing history, and provenance-labelled external benchmarks - returning healthy, watch, unhealthy, or insufficient evidence. Use whenever the user asks whether their CAC is too high, whether a ROAS is good, what ROAS to aim for, whether ads are profitable, or mentions MER, blended CAC, payback period, or a spend health

Build a personalised, time-budgeted watch list of paid-advertising information sources - PPC and paid-social podcasts, newsletters, ad-platform release notes, communities, industry events, and media buyers worth following - with a verification method that keeps it fresh and a disclosure of what each source is selling. Use whenever a media buyer, PPC specialist, or growth marketer asks how to stay current on Google Ads, Meta, LinkedIn, TikTok, or Microsoft Ads changes, which PPC newsletters or paid-social po

Verify that conversion events are correctly configured, firing once, and deduplicated before a paid campaign launches, then turn the evidence into a GO / NO-GO decision. Covers tag debugging, test conversion tracing, browser/server event deduplication (including Conversions API setups), value and currency checks, conversion action status, consent handling, and test-data exclusion. Use whenever the user asks if their tracking works, mentions a pixel or tag check, conversions not showing up, duplicate convers

Map the likely buying committee for an offer, deal size, and industry, and give each role a messaging angle plus the ad-targeting proxy - job function and seniority, account list, account-level intent - that actually reaches them, sequenced by buying stage. Use whenever the user mentions a buying committee or buying group, decision makers, influencers or blockers, who signs off, targeting the economic buyer or a champion, per-role ad messaging, or whether one broad message beats per-role targeting - even if

Select and size the seed customer list behind a lookalike, similar, or value-based audience - which customers to upload, how many, and whether the matched count (not the row count) clears the platform floor - with RFM and value-based selection, a negative-selection pass, a privacy and consent gate before any customer list upload, and a fallback ladder when the floor cannot be cleared. Use whenever the user mentions a lookalike or similar audience, a seed list, a customer list upload, match rate, an audience

Score and force-rank the openings of candidate video ads - from a script, transcript, storyboard, shot list, or a description of a finished cut - to decide which hooks deserve test budget, returning a ranked shortlist within the batch rather than an absolute performance prediction. Use whenever the user mentions a hook, the first 3 seconds, an ad opening, hook rate, thumbstop, attention scoring, or asks which hook to test or whether a hook works - even if they never say 'hook analyzer'. Covers B2B and B2C o

Track daily and weekly spend against a single campaign or account budget and flag under-pacing or over-pacing before it hurts results, reporting the pacing ratio, projected period spend, and the corrective daily spend behind every alert. Use whenever the user mentions budget pacing, spend tracking, burn rate, spend vs budget, projected month-end spend, underspending or overspending, or asks whether a campaign is on pace - even if they never say 'pacing'. Covers any ad platform, B2B and B2C, calendar-month o

Before starting any paid advertising work, before each recurring advertising review, and whenever routing is unclear, route the task to the right skill of the advertising-skills collection - or say plainly that none fits - and bootstrap or resume the project's shared context artifact. Use at every advertising project start, on later sessions of the same project to re-route without re-interviewing, and whenever the user mentions a new ad campaign or paid media project, asks which advertising skill they need,

Design a multi-stage retargeting sequence from a site's own funnel data - recency windows and behavioural-depth tiers per stage, a message and offer ladder for each stage, mutually exclusive audiences with exclusion logic, and per-stage frequency caps. Use whenever the user mentions retargeting or remarketing, cart or form abandonment, how long a retargeting window should be, frequency caps, a retargeting audience that is too small, or ads still showing to people who already bought - even if they never say

Choose the bidding policy per platform and goal - manual vs automated, cost-goal vs value/return-goal, when to switch, and how to set and move the target - written up as a policy with an evaluation window, change discipline, and a rollback trigger. Use whenever the user mentions a bid strategy, target CPA or target ROAS, smart or automated bidding, bid cap vs cost cap, portfolio bid strategies, seasonal bid adjustments, value-based bidding readiness, or delivery collapsing after a target change - even if th

Decide when a proven paid campaign has earned a budget increase, how large each step should be, how the ramp sequences over weeks and months, and how to avoid performance collapse on the way up - including readiness gates, vertical vs horizontal scaling, and rollback triggers. Use whenever the user asks whether to scale a campaign, how fast ad spend can rise, mentions a budget ramp, a scaling ceiling, or says performance collapsed after the budget was raised - even if they never say 'scaling'. Covers B2B an

Turn a campaign goal and an audience insight into a structured creative brief a designer, video editor, or UGC creator can execute - messaging angle, hook directions, art direction, specs, testing intent, and the handoff and revision loop. Covers B2B and B2C, with variants for static image, short-form video/UGC, and search/responsive text ads. Use whenever the user needs to brief a designer or creator, asks what an ad should say, or mentions messaging pillars, creative direction, or a design handoff - even

Use when self-hosting OpenClaw on a cloud server, hardening a remote OpenClaw gateway, choosing between SSH tunneling, Tailscale, or reverse-proxy exposure, or reviewing Podman, pairing, sandboxing, token auth, and tool-permission defaults for a secure personal deployment.

Split a fixed total paid-media budget across campaigns, platforms, funnel stages, and audiences based on expected marginal return - the monthly or quarterly reallocation decision, for B2B and B2C. Use whenever the user asks how to split an ad budget, which channel or campaign should get more money, how to reallocate spend, how much to put behind prospecting vs retargeting, or mentions a portfolio split, marginal return, or diminishing returns - even if they never say 'allocation'. Do NOT use to raise the to

Turn a product brief and target audience into UGC-style short-form video ad scripts a creator can film - hook, body, CTA - with 3-5 hook variants per concept written as spoken line plus on-screen text plus opening visual, with delivery notes and disclosure lines. Use whenever the user asks for a UGC ad or creator script, a short-form vertical video ad script, a founder-led video, employee-generated content, or a customer testimonial video script - even if they never say 'UGC'. Covers B2C creator scripts and

Use when a user wants guidance on starting, contributing to, growing, governing, funding, securing, or sustaining an open source project, or asks about contributor onboarding, community health, maintainer burnout, code of conduct, metrics, legal basics, or open source project adoption.

Adapt ad messaging for conversational and AI-answer ad surfaces - the one-shot, context-aware ad occupying a single response slot inside an AI assistant reply or answer-engine result, where the copy is either rendered verbatim or rewritten by a model from the landing page and feed. Covers recommendation register, self-contained slot copy, situation-description targeting, grounding and disclosure discipline, and reading performance without creative-level reporting. Use whenever the user mentions ads inside C

Flag ad formats that are a poor fit or commonly misused for a given objective and platform - formats the objective does not even expose, formats built for a different funnel stage, formats the team cannot produce - then, post-launch, separate a format problem from a creative or targeting problem. Use whenever the user asks which ad format to use, mentions carousel, Stories, in-feed vs in-stream video, a funnel-stage mismatch, a pre-launch format check, or says a format 'isn't working' - even if they never s

This command has been renamed. Run `/impeccable teach` instead. Do NOT proceed with any teach flow here. Simply inform the user: > The `/teach-impeccable` command has been renamed to `/impeccable te

Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, automated anti-pattern detection, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.

Evaluate a fragmented paid-ads account and recommend which campaigns and ad sets to merge, which splits to preserve, and how to migrate without resetting learning across the account - it plans the consolidation, it never executes it. Use whenever the user mentions too many campaigns or ad sets, merging or restructuring an ad account, ad sets stuck in learning or learning limited, budget spread too thin, account simplification, or campaigns competing with each other - even if they never say 'consolidation'.

Turn one core value proposition into genuinely distinct ad copy variants - headline, primary text, description, and CTA combinations - each labelled with angle, awareness stage, formula, and version so test results stay attributable. A real variant is a new angle, never a reworded line. Use whenever the user asks to write ad copy, needs headline or CTA variations, wants copy to A/B test, has ads that all sound the same, or needs a search ad headline set or an ML asset pool - even if they never say 'variants

Adapt designs to work across different screen sizes, devices, contexts, or platforms. Implements breakpoints, fluid layouts, and touch targets. Use when the user mentions responsive design, mobile layouts, breakpoints, viewport adaptation, or cross-device compatibility.

Use when work depends on the user's live browser session or visible rendered state rather than static fetches, especially for browser debugging contexts or DevTools-selected elements or requests, logged-in dashboards or CMS flows, localhost apps, forms, uploads, downloads, media inspection, DOM or iframe inspection, Shadow DOM, or browser failures that look like soft 404s, auth walls, anti-bot checks, or rate limits.