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Use this skill when a risk register has treatment decisions but no plan anyone can execute, or when someone asks "write the risk treatment plan", "turn the risk register into actions", "what do we do about our high risks", "treatment plan for the auditor", "budget the security roadmap from the risks" or "our treatment plan is just a list of controls". Turns each reduce, avoid or transfer decision into dated actions with an owner, budget, dependency and the record that will prove it was done, states the expected residual score and why, and adds interim measures for risks that stay high while the work runs. Writes a CSV plan and a short notes file.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when a company needs its record of processing activities for the first time, or has one that is really a list of tools, and asks "build our RoPA", "records of processing", "data map for GDPR", "Article 30 record", "what personal data do we process and why", "data inventory for privacy" or "our DPO needs a processing register". Drafts the record by processing activity from systems, vendors and team interviews, with purposes, data and subject categories, proposed legal bases, recipients, transfers and concrete retention, plus a separate processor record when the company processes data for customers, and a notes file of open questions per owner.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when a company needs to know whether the NIS 2 Directive applies to it, and asks "are we in scope of NIS 2", "are we an essential or important entity", "which country supervises us", "do we have to register", "a customer says we fall under NIS 2" or "does DORA replace NIS 2 for us". Works through sector, size, the size-independent cases, entity type, jurisdiction and sector-specific law, entity by entity and member state by member state, and writes a reasoned applicability memo with the facts each conclusion rests on and what follows from it.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when a company needs rules for how staff use company systems, data, devices and AI tools, or asks "write our acceptable use policy", "AUP for employees", "can staff use ChatGPT at work", "AI usage policy", "BYOD rules", "remote work security rules" or "a policy people will actually read". Finds how people really work (devices, apps, AI tools, travel), puts the choices to the reader as decisions, drafts a short plain-language policy with concrete do and do not examples, and adds a comprehension check and an acknowledgement text for onboarding.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when a periodic user access review is due, an auditor asked for access review evidence, or someone says "prepare the access review", "run the quarterly user recertification", "who still has admin", "check leavers still have access", "build the access review sheets for managers" or "our last review was a rubber stamp". Picks the systems in scope, builds account populations reconciled against HR, pre-flags leavers, orphans, shared and dormant accounts, assigns independent reviewers, defines the decisions to record, and plans the removal follow-up.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when staff already use AI assistants, coding tools or AI features and the company needs rules people will follow, and asks "write our AI usage policy", "can staff use ChatGPT", "generative AI policy", "what data can we put into AI tools", "approved AI tools list", "rules for AI agents and connectors" or "AI literacy for staff". Finds out what people actually use, sets a short list of approved tools with a data traffic light, rules for checking outputs and for agents that act, a fast route to request a new tool, and writes a two-page rule set, the approved tools list and rollout notes.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when a company must work out where each of its AI systems sits under the EU AI Act, and asks "is this high-risk", "classify our AI systems", "AI Act risk tier", "are we a provider or a deployer", "does Annex III apply to us", "is this a prohibited practice", "what does the AI Act mean for our chatbot" or "which AI Act obligations do we have". Tests each system, one at a time, for scope, role, prohibited practices, the two high-risk routes, the narrow exemption, transparency duties and general-purpose models, and writes a reasoned classification record per system plus a summary table of resulting obligations to confirm with whoever owns legal interpretation.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when one AI system needs its impact on people and on the company assessed before launch, after a significant change, or because a customer, auditor or regulator asks for it, and the team says "AI impact assessment", "assess the impact of this model", "fundamental rights impact assessment", "who could this AI harm", "bias assessment before launch" or "sign-off for the AI feature". Describes the system in its context, works through impacts on the people it affects with evidence, sizes them, proposes mitigations with measurable triggers, and writes one assessment ready for the system owner and an accountable executive to sign.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when a company that already runs a security management system wants to add an AI management system, or is preparing for an AI governance certification, and asks "scope our AI management system", "what should the AIMS cover", "AI governance roles", "who owns AI governance", "extend our ISMS to AI" or "write the AI management system scope statement". Decides which AI systems, roles, teams and lifecycle stages are in, maps interfaces and dependencies, reuses the processes the security system already runs, assigns roles with a RACI, and writes the scope statement, the roles file and the open questions for leadership.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when a company needs to know what AI it builds, buys or uses, before an AI governance programme, an AI regulation review or a customer questionnaire, and asks "list our AI systems", "build an AI register", "AI inventory", "where are we using AI", "find shadow AI", "which of our vendors use AI" or "what AI do we have before the AI Act". Discovers AI systems from procurement, single sign-on, code and teams, records one entry per use case with owner, purpose, data, affected people and the company's role, and writes a CSV register plus notes of borderline cases and open questions.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when the company is about to buy, renew or switch on an AI product or an AI feature inside an existing product, and asks "assess this AI vendor", "do they train on our data", "AI supplier questionnaire", "review the AI terms", "can we use this model provider with customer data", "who are the subprocessors behind this AI tool" or "AI vendor risk assessment". Sizes the review to the use, reads the terms, data processing agreement and documentation before asking questions, checks training use, retention, model changes, subprocessors, transfers, security and exit, and writes an assessment with a recommendation plus the follow-up questions for the vendor.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when process owners, engineers or executives will be interviewed in an external or internal audit and need to be ready, or when someone asks "prepare the team for the auditor interviews", "what will the auditor ask our CTO", "interview briefing for the audit", "how should people answer the auditor", "mock audit interviews" or "our engineers are nervous about the audit". Builds a one-page brief per role: what the auditor is likely to ask, the records that person should be able to open, the honest way to answer what they do not know, and a short mock interview, plus an interview schedule with the evidence each session needs.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when an external audit, attestation examination or assessment is coming and the team wants populations and evidence ready for the samples the auditor will pull, or asks "prepare for audit sampling", "what samples will the auditor ask for", "get our populations ready", "the auditor wants a list of all changes in the period", "evidence for the leavers sample", "Type II sample prep" or "how do we prove completeness of the population". Lists the populations an auditor is likely to sample, builds each from the system of record with the query that produced it, checks completeness and the evidence behind a dry-run sample, and writes a readiness file per population plus a list of gaps to fix before fieldwork.

日本語の概要は準備中です。原文の説明を表示しています。