AGENT SKILLS · ミッション装備
実際に使われている Agent Skills
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 22,822
- リポジトリ
- 3519
- 最終同期
- 2026/11/02
mbfinottiad-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
- 24時間の導入数
- 546
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 546
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiadvertising-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
- 24時間の導入数
- 546
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 544
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottilookalike-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,
- 24時間の導入数
- 544
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinotticustomer-health-score
Design, validate, and govern a composite customer health score - product usage and engagement signals combined into one weighted, normalized, decayed, banded account score that flags both churn risk and expansion readiness, backtested against real churn outcomes and recalibrated. Use whenever the user mentions a customer health score, health scoring model, account health, signal weighting, score bands, at-risk account flagging, churn risk score, expansion risk, or says "green accounts keep churn
- 24時間の導入数
- 544
- GitHub Stars
- 1
- 更新日
- 10月26日
mbfinottideal-desk-approval
Design the deal desk approval chain and exception-handling process for non-standard B2B SaaS deals - a tiered discount approval matrix and delegation of authority across five concession levers (price, payment terms, services, contract risk, security), margin floor policy, exception intake, two SLA clocks with a sales escalation path, and precedent control. Includes the rules-driven promo/discount-policy equivalent for PLG, self-serve, and B2C. Use whenever the user mentions deal desk, discount a
- 24時間の導入数
- 544
- GitHub Stars
- 1
- 更新日
- 10月26日
mbfinottilead-scoring
Design, validate, and recalibrate a lead scoring model - fit and engagement signals, weighting, negative scoring and exclusions, decay, MQL/PQL threshold and tier setting, backtesting against closed-won/closed-lost outcomes, and governance; also diagnoses an existing broken model. Use whenever the user mentions lead scoring, an MQL threshold, fit vs engagement scoring, product-qualified leads, score decay, "score my leads", "our lead scores are wrong", "sales rejects our MQLs", or "too many junk
- 24時間の導入数
- 544
- GitHub Stars
- 1
- 更新日
- 10月26日
mbfinotticac-roas-benchmark
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 s
- 24時間の導入数
- 543
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottipaid-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
- 24時間の導入数
- 543
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 542
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 542
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 541
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 541
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiadvertising-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
- 24時間の導入数
- 541
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottipaid-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
- 24時間の導入数
- 541
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 540
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiadvertising-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
- 24時間の導入数
- 540
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiad-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
- 24時間の導入数
- 539
- GitHub Stars
- 2
- 更新日
- 10月26日
firebasefirestore-rules-creation
Designs, authors, refactors, and hardens production-grade Cloud Firestore Security Rules (firestore.rules). IMPORTANT: If subagent delegation AND the firestore-rules-author subagent are available in your environment, delegate authoring firestore.rules to the firestore-rules-author subagent. If subagent delegation is unavailable (e.g. not enabled in the IDE), firestore-rules-author is not installed, or you are running inside firestore-rules-author, follow this skill directly.
- 24時間の導入数
- 538
- GitHub Stars
- 498
- 更新日
- 10月30日
mbfinotticustomer-churn-signals
Assemble, define, validate, and rank leading indicators of customer churn from account activity, product usage, and support data into a ranked churn signal register - each signal carrying event, threshold, window, baseline, lift over base rate, lead time, and coverage. Use whenever the user mentions churn signals, churn indicators, leading indicators of churn, an early warning system for at-risk accounts, champion departure, seat utilisation drops, payment failure, or says "our health score miss
- 24時間の導入数
- 538
- GitHub Stars
- 1
- 更新日
- 10月26日
mbfinottiad-bidding-strategy
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
- 24時間の導入数
- 537
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiadvertising-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
- 24時間の導入数
- 536
- GitHub Stars
- 2
- 更新日
- 10月26日
mbfinottiugc-ad-scripts
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
- 24時間の導入数
- 534
- GitHub Stars
- 2
- 更新日
- 10月26日