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概要と使いどころ
Pre-deployment privacy compliance checklist for AI/ML systems covering DPIA completion, lawful basis verification, transparency notices, human oversight mechanisms, bias testing, and post-deployment monitoring setup. Keywords: AI deployment, privacy checklist, go-live, model deployment, compliance gate.
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。
Implement GDPR and ePrivacy-compliant cookie consent: a banner with equal Accept and Reject buttons, per-category choices, stored consent records, consent-gated analytics with Google Consent Mode v2, and Global Privacy Control. Use when adding a cookie banner, managing marketing consent, achieving GDPR compliance for EU users, or integrating consent with analytics platforms.
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。
Plans, researches and writes comparison pages: "[rival] alternatives", "[product] vs [rival]", "[rival A] vs [rival B]" and switching guides. Builds each page from a ledger of sourced, dated facts and ends with an honest verdict on who should choose which product. Use when someone asks for an "alternative page", a "vs page", a "competitor comparison", "comparison landing pages", "why us instead of them", or wants existing comparison pages checked for outdated prices and claims that cannot be backed up.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。
微信私域运营 (企微 + 个人号 + 公众号 + 视频号 + 小程序 + 朋友圈 + 社群 全链路 — 引流 / 沉淀 / 触达 / 转化 / 复购 / 裂变) (WeChat private-domain operations — 微信生态(企微 + 个人号 + 公众号 + 视频号 + 小程序)的私域操盘) Master OS — automated mastery of WeChat private-domain operations — 微信生态(企微 + 个人号 + 公众号 + 视频号 + 小程序)的私域操盘: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on WeChat private-domain operations — 微信生态(企微 + 个人号 + 公众号 + 视频号 + 小程序)的私域操盘 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「私域」「私域运营」「私域操盘」「微信私域」「企业微信」
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。
Expert guide for Data Privacy, GDPR, CCPA, and PDPA compliance. Covers consent management, data retention, privacy-by-design, and audit trails / Panduan kepatuhan Privasi Data, GDPR, dan PDPA.
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。
Evaluates CDS, CDX, and bespoke credit derivative structures with spread analysis and credit event mechanics. Use when analyzing credit derivatives, pricing CDS, or evaluating index tranche products.
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。
Create bulletproof Terms of Service and Privacy Policy documents for SaaS applications. Infers company information from codebase/marketing site, conducts comprehensive audits, drafts documents, then asks user ONLY for missing details at the end. Minimizes user interaction. Use when the user needs to draft, review, or update legal documents (ToS, Terms of Service, Privacy Policy, legal pages). Triggers on requests for legal documents, terms drafting, privacy policy creation, "cover our bases legally", liability protection, or legal compliance for software products.
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。
Reflect reusable learnings into a private Agent Skills repository with scoped safety gates and same-run private commit/push. Not for ~/.copilot personal assets, VS Code User Data assets, or workspace/repository assets. Use when: skill retro, private skill authoring, skill repository fix, create or update SKILL.md.
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 when configuring Slack-specific Agentforce capabilities AFTER the basic Slack deployment is complete: enabling Slack-native actions, managing public vs. private action scope, mapping Salesforce-to-Slack user identity, or troubleshooting Slack action failures. Triggers: 'add General Slack Actions topic to agent', 'configure canvas creation for Agentforce in Slack', 'Agentforce private action requires user identity mapping', 'Slack agent cannot send DMs after deployment', 'Agentforce Look Up User action not working in Slack', 'how to map Slack users to Salesforce identities for private actions'. NOT for the initial Slack OAuth install, DM vs channel-mention mode, or core agent setup — use agentforce/agent-channel-deployment. NOT for sending a Slack message or creating a channel from a Flow — use flow/flow-for-slack.
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。
Detects missing or incomplete PrivacyInfo.xcprivacy privacy manifest files, enforcing Guideline 5.1 and Apple's required-reason API declaration policy enforced from May 1, 2024.
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。
Prepare for App Store review and prevent rejections. Covers App Store review guidelines, app rejection reasons, PrivacyInfo.xcprivacy privacy manifest requirements, required API reason codes, in-app purchase IAP and StoreKit rules, App Store Guidelines compliance, ATT App Tracking Transparency, EU DMA Digital Markets Act, HIG compliance checklist, app submission preparation, review preparation, metadata requirements, entitlements, widgets, and Live Activities review rules. Use when preparing for App Store submission, fixing rejection reasons, auditing privacy manifests, implementing ATT consent flow, configuring StoreKit IAP, or checking HIG compliance.
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。
Guide for Private and Internal member testing strategies. Use when you need to test private or internal members, configure InternalsVisibleTo, or evaluate testability design. Covers design-first thinking, reflection testing, strategy pattern refactoring, AbstractLogger pattern, and decision frameworks. Keywords: private method testing, internal testing, InternalsVisibleTo, reflection testing, GetMethod BindingFlags, Meziantou.MSBuild.InternalsVisibleTo, testability design, strategy pattern refactoring, testability
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。
OpenClawのセキュリティ勧告を確認・修正し、非公開フォークの未完了PRや公開条件を検証。承認を経た公開と、公開後の状態確認まで扱うスキル。
競合のブランド表現やサービス、実績などを共通の基準で採点し、根拠付きの比較カードと戦略上の二軸図にまとめ、自社が狙う位置の競合を把握するスキル。
Deep research framework for pre-IPO / private companies (Ant Group, SpaceX, Stripe, ByteDance...). Six analyst lenses — business model, financial forensics, competitive landscape, risk & governance, tech & IP, alternative-data signals — run in parallel via run_swarm, then cross-validated for signal consistency before any verdict. Built around the core challenge of private-company work: information is scarce, so every data point carries a confidence label (high / medium / low), inference is shown separately from fact, and 'I don't know' is a valid output. Outputs a fair-value range, exit-path analysis, and an information-gap map. Use for any unlisted company where you need to judge what the business is actually worth.
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。
Draft a detailed privacy policy covering data types, jurisdiction, GDPR and compliance considerations, and clauses needing legal review. Use when creating a privacy policy, updating data protection documentation, or preparing for compliance.
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。
Full-text search across all of the user's GitHub repos (including private ones) using a local mirror and ripgrep. Use for "where did I put X", "which repo has X", or any search spanning the user's repos - gh search code / the REST API cannot reliably search private repos.
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。
Generate a Privacy Impact Assessment in house format for a new feature, product, or processing activity, using the structure learned from your seed PIA. Use when the user says "write a PIA", "privacy impact assessment for", "do we need a PIA for this", "privacy review this feature", or describes a new data processing activity.
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。
Run the cold-start interview — learns your privacy practice and writes CLAUDE.md from your policy, DPA template, and a reference PIA. Use on first run, when CLAUDE.md is missing or has placeholders, or when the user says "set up the privacy plugin", "onboard me", "configure privacy", or wants to re-run the interview or re-check integrations.
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。
Quickly determine whether a processing activity needs a PIA, a mandatory GDPR DPIA, or can proceed — surfaces privacy policy conflicts and routes to the right next step. Use when the user asks "does this need a PIA", "triage this feature", "privacy check on X", "is this okay from a privacy perspective", or describes a new data processing activity, product feature, or vendor relationship.
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。
Design and audit the data lifecycle for records and user events sent to Algolia. Use when minimizing indexed fields, handling deletion requests, or documenting retention and privacy boundaries. Trigger with "Algolia privacy", "delete Algolia user data", or "index data review".
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。
Analyze and enforce classification, minimization, signed-URL custody, retention, deletion, content provenance, and privacy-request boundaries for Adobe workflows. Use when the task requires adobe data custody and privacy review. Trigger with "Adobe data handling", "PDF privacy", or "Firefly content policy".
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。
Assesses and improves how personal data is collected, used, shared, and retained — data mapping, lawful basis, consent, processor agreements, subject rights, and breach obligations. Use this before launching anything that handles personal data, when adding a vendor that will process it, when a data subject request arrives, when assessing exposure under GDPR or US state privacy laws, or when preparing for a privacy review.
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。
Audit the vault for material that should not be in it: credentials, other people's private information, confidential work, and anything the user would not want synced or backed up. Use this skill when the user asks about privacy, is about to share or sync the vault, has just imported chat history or meeting notes, or asks what is sensitive in their notes. Do NOT use to delete anything on your own, or as a substitute for the publishing check.
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。