'consumer' 검색 결과

New Jersey Data Privacy Act (NJDPA) compliance, effective January 15, 2025. Covers consumer rights (access, correction, deletion, portability, opt-out), controller obligations, sensitive data requirements, universal opt-out mechanism recognition, 30-day cure period (sunsets after 18 months), and AG enforcement. Keywords: NJDPA, New Jersey, data privacy, consumer rights, sensitive data, universal opt-out, AG enforcement.

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Implements CCPA Section 1798.105 right to delete and CPRA amendments including service provider obligations, statutory exceptions for legal, security, and internal uses, consumer identity verification procedures, and 45-day response timeline management. Activate for CCPA deletion, CPRA right to delete, California privacy, consumer deletion queries.

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Complete CCPA/CPRA compliance implementation covering California Civil Code §1798.100-199. Includes consumer rights framework, business obligations, service provider and contractor requirements, enforcement mechanisms, and CPPA rulemaking. Triggers on CCPA, CPRA, California privacy, consumer rights.

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Manages California Consumer Privacy Act (CCPA) consumer rights requests under Civil Code sections 1798.100-125, covering the right to know, right to delete, right to opt-out of sale, and non-discrimination. Includes 45-day response window and identity verification requirements. Activate for CCPA, California privacy, right to know, right to delete, opt-out of sale queries.

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California consumer privacy rights workflow implementation under CCPA/CPRA. Covers right to know, delete, opt-out of sale/sharing, correct, and limit sensitive PI processing. Includes 45-day response timelines, identity verification procedures, and authorized agent handling.

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Diagnoses Kafka consumer group lag using the Kafka AdminClient API and JMX metrics exposed via the Confluent Metrics API. Identifies slow consumers, topic partition hotspots, and broker rebalance storms that contribute to lag growth. Provides a step-by-step runbook to tune fetch.min.bytes, max.poll.records, and partition count.

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"Apply Consumer Culture Theory to analyze consumption as a cultural practice shaped by identity, marketplace cultures, and ideology. Use this skill when the user needs to interpret consumer behavior through cultural lenses, analyze brand communities or subcultures of consumption, decode marketplace ideologies, or when they ask 'why do consumers behave this way culturally', 'what does this consumption mean', or 'how does identity shape buying'.".

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Upgrade a consumer repo to the latest Lumen: audit the gap, bump every `@ledgerhq/lumen-*` package, apply each migration crossed, verify, and open the PR. Run from the consumer repo's root, only when asked to upgrade or audit Lumen there.

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Consumer Goods Cloud setup: visit execution, retail execution, route planning, in-store task management, compliance checks, off-shelf detection, image recognition. NOT for territory planning and route optimization for sales reps - use integration/salesforce-maps-setup. NOT for B2B Commerce storefronts - use admin/b2b-commerce-store-setup.

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Consumer-Driven Contract Testing (CDC) using Pact framework and OpenAPI-based contract validation. Covers microservice-to-microservice contract verification, provider contract testing, consumer contract testing, contract publishing pipelines, and contract breaking-change detection. USE WHEN: designing microservice APIs, establishing service boundaries, verifying service-to-service contract compatibility, integrating with Pact framework, preventing contract-breaking changes, or setting up a contract testing pipeline in CI/CD. Triggers on "contract test", "Pact", "consumer- driven contract", "CDC", "service contract", "API contract", "breaking change".

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모듈 의존 관계와 검증 명령을 REGRESSION.md에 정리합니다. 수정한 모듈과 영향을 받는 모듈의 실행 결과로 기존 기능이 손상되지 않았는지 확인합니다.

• 모듈 수정의 영향 범위를 검증합니다
• 기존 테스트를 모듈별로 정리합니다
• 의존 관계 근거와 검증 범위를 감사합니다

Evaluate substantial software changes against the actual problem, current system, and concrete users or components that need them. Choose a sufficient scope, assess consequences, and, when implementation is requested, make the change and verify its behavior.

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• Assessing whether a feature proposal is needed
• Reducing the scope of a refactor or migration
• Checking who needs a proposed API or data field

Summarize spending events for each connected peer over the past hour, day, and week, and flag peers above a configured suspension threshold. This consumer-side script depends on upstream event publishing that the source describes as not yet implemented.

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• Establish a spending baseline before connecting a new peer
• Periodically review spending by peer
• Check which peers exceed a suspension threshold

Support legal questions concerning Brazilian law across family, criminal, labor, tax, consumer, real estate, business, civil, and constitutional matters. The skill directs the agent to consult an accompanying detailed guide for procedures, prerequisites, and validation requirements.

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• Discussing family or civil matters under Brazilian law
• Considering Brazilian labor or tax law questions
• Asking about consumer or real estate legal matters

Compare C# Web API source code with its TypeScript or JavaScript clients to find mismatched data fields, required inputs, and response handling. Receive an audit report showing client impact, severity, and confidence in each match.

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• Check client impact before merging a DTO or controller change
• Audit API compatibility before a release
• Find stale request fields and missing response fields

Reduce the memory needed to run large language models with GPTQ quantization, which stores model weights at lower precision. Covers loading compressed models, quantizing your own models, choosing execution backends, and connecting to memory-efficient fine-tuning.

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• Run a language model within limited GPU memory
• Load a pre-quantized model for text generation
• Quantize and save your own trained model

Find unused components, files, translation keys, and other unnecessary code across a codebase. Document every consumer and removal impact in a tracking issue, then turn one maintainer-approved candidate into a focused pull request.

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• Periodically checking for accumulated unused code
• Finding orphaned translation keys
• Recording removal candidates and their impact in an issue

Compress large language models to 4-bit weights to reduce GPU memory needs and accelerate text generation. Covers loading compressed models, converting your own models, choosing settings, and preparing memory-efficient fine-tuning with transformers and PEFT.

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• Run language models with limited GPU memory
• Convert your own model to 4-bit weights
• Compare compression settings for quality and speed

Design a consumer-facing dashboard for dating or community activity. It brings together a live signal ticker, key performance indicators, a 30-day mutual-match bar chart, and match-rate trends in a restrained visual layout.

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• Designing a dashboard for a matching service
• Presenting key community activity indicators
• Showing mutual matches over the past 30 days

Investigate insecure deserialization, where restoring objects from stored or transmitted data can execute unwanted code. Covers multiple languages, input format recognition, vulnerable processing points, verification methods, and documentation of affected libraries and entry points.

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• Reviewing code that restores objects from external data
• Identifying serialized data in cookies and request bodies
• Assessing message consumers and admission webhooks

Configure mirrord to route selected Kafka messages to a local application. Generate Kubernetes resource files and matching message filters, check their consistency, and troubleshoot connection or splitting issues, including Kafka Streams and AWS MSK IAM setups.

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• Set up Kafka message splitting for local debugging
• Filter messages by headers or payload fields
• Configure Kafka Streams or AWS MSK IAM connections

Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API or an explicitly started runtime, validating with plan and doctor, and consuming normalized results, artifacts, and telemetry.

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Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing. Triggers: "event hubs", "EventHubProducerClient", "EventHubConsumerClient", "streaming", "partitions".

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Designs interfaces that survive their consumers — resource modeling, errors, versioning, pagination, and compatibility. Use this to design a new API, review one before it ships, decide how to version or deprecate, fix an interface consumers keep misusing, or work out whether a change is breaking.

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