AGENT SKILLS · EQUIPAGGIAMENTO / mbfinotti

mbfinotti · Agent Skills

108 Skill con documentazione sostanziale e fonti verificate. Apri una scheda per leggere le istruzioni originali e verificare pacchetto e installazione.

mbfinotti

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ad-creative-brief

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 han

Installazioni / 24h: 603
GitHub Stars: 2
Aggiornato: 26 ott

ad-budget-pacing

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, cale

Installazioni / 24h: 602
GitHub Stars: 2
Aggiornato: 26 ott

ad-negative-keywords

Build and maintain negative keyword lists from search term reports to cut wasted ad spend in paid search - n-gram query mining to surface irrelevant search terms, the right negative match types and exclusion levels (account, shared list, campaign, ad group), and a review cadence that avoids overblocking queries that convert. Use whenever the user mentions a search term or search query report, irrelevant clicks, junk traffic, wasted ad spend, or wants to exclude or block keywords - even if they n

Installazioni / 24h: 602
GitHub Stars: 2
Aggiornato: 26 ott

ad-spend-allocation

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

Installazioni / 24h: 602
GitHub Stars: 2
Aggiornato: 26 ott

paid-media-scaling

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'. C

Installazioni / 24h: 602
GitHub Stars: 2
Aggiornato: 26 ott

ad-creative-fatigue

Decide whether a running ad creative is genuinely wearing out, or whether a confounder - budget change, learning-phase reset, audience saturation, auction CPM inflation, seasonality, tracking breakage - explains the decline, and return a verdict with confidence plus the highest-return remedy per unit of effort. Use whenever the user mentions creative or ad fatigue, wear-out, climbing frequency, dropping CTR, a rising CPA on an older ad, when to refresh creative, or whether to kill an ad - even i

Installazioni / 24h: 601
GitHub Stars: 2
Aggiornato: 26 ott

ad-swipe-file

Build and maintain a competitor swipe file - competitors' currently-running ads collected into a categorised, queryable library classified by format, hook type, offer/angle, awareness stage, and funnel stage, then converted into ranked creative test hypotheses. Accepts pasted ad text, described ads, screenshots, export files, or public ad transparency libraries. Use whenever the user asks what ads competitors are running, wants a competitor ad teardown, creative inspiration, or to know what is w

Installazioni / 24h: 601
GitHub Stars: 2
Aggiornato: 26 ott

advertising-radar

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 pa

Installazioni / 24h: 601
GitHub Stars: 2
Aggiornato: 26 ott

ad-buyer-group-mapper

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 targeti

Installazioni / 24h: 600
GitHub Stars: 2
Aggiornato: 26 ott

advertising-career

Plan and advance a paid-advertising career from the candidate side - media buyer, performance marketer, PPC specialist, creative strategist, growth marketer - covering the junior to lead ladder, the five real interview formats (live account audit, mental-maths case, metric diagnosis, take-home, behavioural), an NDA-safe results portfolio, platform certifications, in-house vs agency vs freelance, and promotion and pay conversations. Use whenever the user asks how to get into paid media or PPC, pr

Installazioni / 24h: 600
GitHub Stars: 2
Aggiornato: 26 ott

lookalike-audience-seeds

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,

Installazioni / 24h: 599
GitHub Stars: 2
Aggiornato: 26 ott

ad-attribution-gap

Quantify and explain the discrepancy between ad platform reporting, an analytics tool, and the source of truth (CRM or order system), classifying every unit of the gap as timing, definitional, or unexplained residual. Use whenever the user says the numbers don't match, that the platform reports more conversions or revenue than the CRM or order system, or mentions cross-platform reconciliation, double-counted conversions, an attribution discrepancy, or asks whether a reporting gap is normal - eve

Installazioni / 24h: 598
GitHub Stars: 2
Aggiornato: 26 ott

ad-audience-targeting

Turn a business's ICP and buying signals into a layered ad audience targeting plan - cold/broad prospecting, interest and in-market behavioural segments, lookalike/similar, first-party lists, and retargeting pools - each sized against platform audience floors, budgeted to the learning threshold, and kept from overlapping by exclusion rules. Use whenever the user mentions ad targeting, who to target with ads, audience tiers or layers, broad vs. layered targeting, audience overlap between campaign

Installazioni / 24h: 598
GitHub Stars: 2
Aggiornato: 26 ott

ad-creative-test-plan

Design a pre-launch ad creative test plan - falsifiable hypothesis, isolation level, test cells with per-cell budgets, required sample, spend and duration, and kill/scale rules pre-registered before any money moves. Every cell carries an explicit read standard, so an underpowered screen is never dressed up as an A/B test. Use whenever the user wants to test ads, mentions an A/B or split test on creative, asks how much budget or how long a test needs, or mentions sample size, statistical signific

Installazioni / 24h: 598
GitHub Stars: 2
Aggiornato: 26 ott

advertising-hiring

Build the complete hiring packet for a paid-advertising role - the rung decision (media buyer vs performance marketer vs growth marketer; creative strategist is its own role), an outcome scorecard, a 2-3 round interview loop with a judgment-first question bank, a time-boxed in-interview work sample, and a 30-60-90 ramp with staged spend authority. For the marketing leader or founder recruiting. Use for "hire a media buyer", "interview questions for a performance marketer", "paid media work sampl

Installazioni / 24h: 597
GitHub Stars: 2
Aggiornato: 26 ott

ad-hook-analyzer

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 B

Installazioni / 24h: 596
GitHub Stars: 2
Aggiornato: 26 ott

ad-spend-guardrails

Set the organisation's top-level paid-media spend guardrails as written policy - maximum allowable CAC, minimum ROAS/MER floor, kill-switch thresholds, counter-metrics, who owns them and who may override them - each derived from contribution margin, payback, and cash runway rather than inherited from a dashboard. Use whenever the user asks what CAC they can afford, mentions a ROAS floor, spend guardrails, a kill switch, when to stop spending, or who approves a budget increase - even if they neve

Installazioni / 24h: 596
GitHub Stars: 2
Aggiornato: 26 ott

advertising-kickoff

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 skil

Installazioni / 24h: 596
GitHub Stars: 2
Aggiornato: 26 ott

retargeting-funnel

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 the

Installazioni / 24h: 596
GitHub Stars: 2
Aggiornato: 26 ott

ad-account-diagnostic

Diagnose the root cause of an underperforming paid ad account - why the ads stopped working, why CPA went up, why ROAS dropped - instead of defaulting to 'increase the budget'. Weighs tracking, account structure, targeting, creative, bidding and budget, offer, and external forces, and returns a prioritised verdict with evidence and confidence. Covers B2B and B2C on search, paid social, video, and native. Use whenever the user mentions an ad account audit, a campaign structure review, wasted ad s

Installazioni / 24h: 595
GitHub Stars: 2
Aggiornato: 26 ott

paid-landing-page-audit

Audit a landing page receiving paid traffic against post-click conversion best practice and return a prioritised fix list - message match to the ad, above-the-fold clarity, form friction, trust, speed, mobile, policy risk - with every finding labelled by evidence class and no statistical claims on thin data. Use whenever the user says their ads get clicks but no conversions, asks why a landing page isn't converting, or mentions post-click experience, message match, conversion friction, form fric

Installazioni / 24h: 595
GitHub Stars: 2
Aggiornato: 26 ott

ad-conversion-tracking

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, dupli

Installazioni / 24h: 594
GitHub Stars: 2
Aggiornato: 26 ott

ad-platform-selection

Decide which paid channel families fit a business's economics, audience, funnel stage, and budget at campaign setup - paid search, paid social, short-form video, connected TV, native/discovery, retail media, programmatic display, podcast/audio, paid review listings, B2B professional networks - including whether each is affordable against allowable CAC and payback. Use whenever the user asks where to spend a new ad budget, which platform to advertise on, how to build a paid channel mix, whether a

Installazioni / 24h: 593
GitHub Stars: 2
Aggiornato: 26 ott

conversational-ad-copy

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

Installazioni / 24h: 589
GitHub Stars: 2
Aggiornato: 26 ott

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