420 skills · sorted by relevance
Add a deployable service by following a structured guide for application code, infrastructure, configuration, and related integrations. It tracks applicable steps, reports local verification results, and leaves deployment and secret creation as explicit follow-up work.
Montana Consumer Data Privacy Act (MTDPA) compliance. Lowest consumer threshold at 50,000 consumers. Covers sensitive data consent, universal opt-out recognition, consumer rights, controller obligations, 60-day cure period, and AG enforcement. Effective October 1, 2024.
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Iowa Consumer Data Protection Act (ICDPA) compliance. Effective January 1, 2025. Covers consumer rights (access, delete, opt-out), controller thresholds at 100,000 consumers, sensitive data opt-in consent, 90-day cure period, and AG-only enforcement. Iowa Code Chapter 715D.
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Manage consumers, credentials, AI providers, and model routing in Higress AI Gateway through its Console API. The skill explains session authentication, access permissions, and how to update existing settings while preserving required version information.
Kentucky Consumer Privacy Protection Act (KPPA) compliance. Effective January 1, 2026. Covers consumer rights, controller thresholds at 100,000 consumers, sensitive data processing consent, cure period provisions, and AG enforcement framework.
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Fix "ref.listen can only be used within the build method of a ConsumerWidget" assertion error in Flutter Riverpod 3.x. Use when: (1) ConsumerStatefulWidget crashes with "Failed assertion: line 492 pos 7: 'debugDoingBuild'" in flutter_riverpod consumer.dart, (2) ref.listen is called inside initState, addPostFrameCallback, or any lifecycle method other than build(), (3) All widget tests fail with this assertion from scheduler callback. Applies to flutter_riverpod 3.0+ with ConsumerStatefulWidget.
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Implement consumer-driven contract testing with Pact-JS (v16). Covers consumer test writing, broker-driven provider verification, Pact Broker setup, can-i-deploy as a deployment gate, webhook-triggered verification, pending pacts, and schema-first vs consumer-first approaches (OpenAPI/Ajv, Schemathesis). Use when: "contract test," "Pact," "consumer-driven," "API contract," "provider verification," "can-i-deploy." Not for: stubbing or mocking a dependency to isolate a test — use service-virtualization; general REST/GraphQL endpoint assertions against your own API — use api-testing. Related: api-testing, service-virtualization, ci-cd-integration, test-environments.
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Amazon niche market review analysis and consumer sentiment insights. Trigger when the user mentions niche market review analysis, consumer sentiment, user pain points, customer feedback insights, review topic analysis, positive/negative review breakdown, niche market opinion mining, product review sentiment analysis, niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Nexscope data. Even if the user does not explicitly mention "niche market reviews", if their need involves analyzing consumer reviews within Amazon niche markets or understanding customer sentiment at the niche market level, this skill should also be triggered.
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🇺🇸 Hardware + SaaS GTM Playbook — End-to-end go-to-market for consumer hardware products with software subscription models. Covers crowdfunding engineering (Kickstarter/Indiegogo/Makuake), KOL matrix for physical products, hardware PMF validation metrics, device-as-funnel subscription design, localization entry timing, and community flywheel mechanics. Built from verified Plaud, Insta360, and DJI case data. 🇨🇳 硬件+软件订阅 GTM 实操手册 — 面向消费硬件产品的完整出海及增长打法。覆盖众筹超额工程（KS/IGG/Makuake）、硬件 KOL 矩阵策略、硬件 PMF 验证、设备即漏斗订阅设计、本地化进入时机判断、社区飞轮构建。基于 Plaud/Insta360/大疆真实案例数据撰写。 🇯🇵 ハードウェア＋SaaS GTMプレイブック — クラウドファンディング（Kickstarter/IGG/Makuake）を起点とした消費者向けハードウェア製品のGTM戦略。KOLマトリクス、PMF検証、デバイスをファネルとするサブスクリプション設計、ローカライゼーション進入タイミング、コミュニティフライホイールまで網羅。Plaud・Insta360・DJIの実例データに基づく。 🇰🇷 하드웨어+SaaS GTM 플레이북 — 크라우드펀딩(Kickstarter/IGG/Makuake) 기반 소비자 하드웨어 제품의 엔드투엔드 GTM 전략. KOL 매트릭스, PMF 검증, 디바이스-as-퍼널 구독 설계, 현지화 진입 타이밍, 커뮤니티 플라이휠 포함. Plaud·Insta360·DJI 실제 사례 데이터 기반. Triggers: "hardware GTM" | "crowdfunding strategy" | "hardware+SaaS" | "Kickstarter launch" | "hardware KOL" | "hardware PMF" | "device subscription" | "hardware product launch" | "consumer hardware growth" | "Makuake" | "众筹策略" | "硬件出海" | "硬件+订阅" | "硬件GTM" | "KS众筹" | "硬件PMF" | "设备订阅" | "硬件冷启动" | "ハードウェアGTM" | "クラファン" | "하드웨어 GTM" | "크라우드펀딩"
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Use when asked to test a Lumen change against consumer repos before releasing it: a breaking or architectural change, a lint-plugin upgrade, peer/prod dependency moves, build or packaging changes, or to check how consumers use a component, prop or variant. Runs the change (or a usage scan) across the production consumers in the adoption registry and outputs a shareable HTML report.
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Hunts for malicious WMI permanent event subscription persistence by correlating __EventFilter, CommandLineEventConsumer/ActiveScriptEventConsumer, and FilterToConsumerBinding records from Sysmon Event IDs 19/20/21 or WMI repository exports. Activates for requests to hunt WMI persistence, detect event consumer backdoors, or analyze WMI subscription telemetry.
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Design Kafka consumer groups that survive rebalances, hit the right delivery guarantee (at-most/at-least/exactly-once), and handle poison messages without stalling the topic. Use when picking a partition assignment strategy (Range vs Sticky vs Cooperative-Sticky vs the new KIP-848 protocol), tuning heartbeat / session / max.poll.interval timeouts, choosing manual vs auto offset commits, designing dead-letter or retry topics, or migrating from Classic to the next-gen Consumer protocol. NOT for Kafka cluster ops (broker tuning, partition reassignment), schema design (Avro/Protobuf/Schema Registry), or stream processing topology (use a kafka-streams skill).
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After shipping a repo, release or feature, find who on GitHub actually needs it: search issues, discussions and catalogs for the symptom, rank live threads and draft one precise reply per consumer. Use right after any artifact goes public. Triggers: /consumer-hunt, /ch, find consumers, where to submit.
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Coordinate parallel frontend, backend, or service development around one shared, machine-checkable interface specification. Generate consumer types, validate mocks and real responses against the same specification, and review changes together to prevent mismatched fields and incompatible integrations.
Create a single-screen desktop dashboard for dating, matchmaking, or community products. It combines key metrics, a community ticker, match charts, and sidebar navigation in one HTML document, using editorial typography, generous spacing, and a restrained accent color.
Plan market, competitor, consumer, or financial research with chapter outlines, data requirements, and chart plans. Then turn collected evidence into a structured Markdown report with comparisons, citations, and strategic implications, while clearly identifying missing data.
Gather market research data from maps, social platforms, and travel sites using Apify Actors, tools for collecting online data. Summarize regional demand, pricing, and consumer insights, with chat results or CSV and JSON exports.
Record migration instructions for Prisma 8 breaking changes alongside the pull request. Prepare separate guidance for application users and extension authors, with optional code transformation scripts and checks that reproduce the required changes.
Find WMI event subscriptions that let attackers retain access to Windows systems. Correlate Sysmon events with stored subscriptions and Autoruns results, inspect execution triggers and commands, and document risks and recommended remediation.
Update application code so a developer’s mirrord session identifier travels across service calls, queues, and storage events. Reuse existing tracing tools where possible, then report which request flows carry the identifier and where it still disappears.
Review terms of service and privacy policies from a consumer's perspective. Identify risks involving subscriptions, data use, liability, and content rights, then produce a structured report with supporting passages, severity assessments, and practical actions.
The consumer panel. Spins up a swarm of buyer sub-agents (default 100, --quick for 20) trained on the user's target customer, each with a different income, age, buying behaviour and objection, shows every one the same pitch, and runs the business through 100 buyer scenarios to see who buys, who doesn't, and why. Tallies the answers into buy rates by segment, the reasons people pass in their own words, what would flip a no, and price answers for founder-pricing. Use when the user says "would people buy this", "test it on customers", "run the consumer panel", "simulate buyers", "who is my customer", or "validate demand".
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Build and execute marketing strategy for Direct-to-Consumer (DTC) brands — customer acquisition, retention, email flows, social proof, subscription models, and repeat purchase mechanics. Use when the user says "DTC marketing", "direct to consumer", "D2C strategy", "selling directly to customers", "cut out the middleman", "DTC brand", "e-commerce brand marketing", "how do we get direct customers", "DTC growth", "consumer brand marketing", "we sell direct", or is building a brand that sells its products directly without retail or distribution middlemen.
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Virginia Consumer Data Protection Act (VCDPA) compliance implementation. Covers 5 consumer rights, controller obligations, processor requirements, opt-in for sensitive data, data protection impact assessments, AG enforcement, and cure period provisions. Effective January 1, 2023.
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