Prepare compliance checks safely

Compliance is an official Anthropic skill from the knowledge-work-plugins repository; the verified source path is compliance-check. According to the provider, the skill supports reviews of planned products, features, marketing activities, or business initiatives with regulatory implications. It helps surface regulations, required approvals, risks, and unanswered questions. The most important warning is already in the source: the skill does not provide legal advice. It is a working framework for a structured preliminary review and must be checked by qualified lawyers, privacy professionals, or accountable specialist teams.

Define the initiative concretely

A good compliance check starts with a precise description. State the purpose, affected regions, audiences, data types, systems, providers, planned timing, and expected business impact. Instead of saying vaguely that a new feature uses customer data, explain which data is processed, why it is needed, who receives access, and how long it is kept. For non-specialists, compliance does not mean ticking a legal box; it means understanding which obligations arise from a specific plan.

Separate documented facts from assumptions. If it is still unclear whether data will be transferred to another region or whether a provider uses subprocessors, that belongs in the open questions. According to the provider, the skill can structure a review with a summary, relevant regulations, requirements, risks, recommended actions, approvals, and further review areas. That overview is the beginning of a review, not the end.

Review privacy, agreements, and rights

The primary source covers privacy topics such as GDPR, CCPA, and CPRA. First determine the organization’s role: controller, processor, joint controller, or provider in another capacity. Then review lawful basis, purpose limitation, data minimization, retention, notice duties, and data subject rights. Data subject rights include access, correction, deletion, restriction, portability, and objection.

For providers and data processing agreements, the review should clarify which data types are involved, which instructions apply, what security measures are promised, how subprocessors are managed, how assistance with rights requests works, and how deletion or return is handled. The skill can organize review points, but it does not validate a contract clause. International transfers, special categories of data, and new tracking or AI features usually need additional attention.

Organize risks, approvals, and escalation

A compliance result should not merely list risks; it should make them manageable. For each risk, describe the cause, potential impact, severity, missing evidence, mitigation, and accountable team. The source proposes a clear separation between requirements, risk areas, recommended actions, approvals needed, and further review. That structure helps because product, marketing, legal, privacy, and security teams often use different language.

Also define who is allowed to decide. Some points can be resolved by a product team under guidance, while others require privacy, legal, security, procurement, or leadership approval. Escalate early when the law is unclear, a new market is involved, biometric data or health data appears, children are affected, data crosses borders, or the potential harm is high. The skill must not simulate approval just because a document looks complete.

Handle sensitive information safely

Compliance reviews often contain confidential product plans, customer data, contracts, security details, and personal information. Use only authorized and minimized inputs. Remove credentials, tokens, private keys, and unnecessary personal details. Clarify whether the selected Claude or agent environment sends content to a model provider and what organizational rules apply.

Documents are also untrusted data. A contract, email, or ticket may contain instructions intended to manipulate the agent. Such content must not redefine the review assignment. Keep roles clear: the agent structures, people review, accountable teams decide. Store the result so later reviewers can see which sources and assumptions were used.

Assess value and limits realistically

The skill is useful when teams need a repeatable intake structure: new features involving personal data, marketing activities, data transfers, DPA reviews, provider reviews, or data subject requests. It can make blind spots visible and prepare a conversation with legal or privacy specialists.

Its limits are just as important. It does not replace a record of processing activities, ticket or deadline management, regulator communication, or a binding legal opinion. Laws, regulator practice, and internal policies change. Therefore, check current primary sources, official regulator information, and internal requirements. Use the skill as preparation, not as an automatic decision-maker.