Results for “article-audit”

Maintains the GDPR Article 33(5) breach register documenting all personal data breaches regardless of whether supervisory authority notification was required. Covers mandatory register fields including facts, effects, and remedial actions, retention periods, audit readiness, and integration with the accountability framework. Keywords: breach register, Article 33(5), breach documentation, accountability, audit readiness, remedial actions.

Fetch a published article from a URL and extract its title, headings, body content, and metadata into a markdown file the update pipeline can audit.

Guide for implementing GDPR-valid consent under Article 7 conditions and Article 4(11) definition. Covers five core requirements: freely given, specific, informed, unambiguous, and clear affirmative action. Includes pre-ticked boxes prohibition per Planet49 CJEU C-673/17, consent form audit checklist, and practical implementation patterns.

Guides the creation and review of data processing agreements under GDPR Article 28(3), covering all eight mandatory clauses. References the 2021 Standard Contractual Clauses and provides a compliance checklist for processor contracts. Activate when onboarding processors, reviewing DPAs, or auditing processor compliance. Keywords: DPA, data processing agreement, Article 28, processor, mandatory clauses, standard contractual clauses.

Automates GDPR Data Subject Access Request (DSAR) workflows including identity verification, PII discovery across databases and files using regex and NER, data mapping, response templating per Article 15 requirements, deadline tracking, and audit logging.

Provides reviewer-style audit and deep review for academic papers in LaTeX, Typst, and PDF formats, producing structured issue bundles, pass/fail gates, and revision roadmaps.

Guides systematic review of processing documentation for completeness against GDPR Articles 5, 13-14, 24, 28, and 30. Activate when auditing documentation or preparing for inspections. Keywords: documentation review, processing records, completeness, privacy notices, RoPA.

Audit a directory of multilingual blog content for completeness, consistency, hreflang correctness, meta-tag parity, and freshness. Builds a translation coverage matrix, flags stale translations, validates hreflang and schema, and emits a prioritized report with runnable fix commands. Use when user says "locale audit", "blog locale-audit", "check translations", "multilingual audit", "translation check", "hreflang check", "Uebersetzungen pruefen".

Audit a page or a site for both classic search and answer-engine visibility, then return prioritized fixes so an AI answer engine will actually quote you. Checks entity clarity, structured answers, schema, internal links, and freshness, and ranks every fix by effort against impact. Trigger on "audit my SEO", "why don't I show up in AI answers", "will ChatGPT cite my page", "check my page for search", "AEO audit", or "how do I rank for this".

Audita e diagnostica SEO técnico, on-page e qualidade de conteúdo, priorizando problemas por impacto e esforço.

Audit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across core categories including counterfactual, additionality, discounting, double counting, distributional analysis, Aqua Book RIGOUR, and Flyvbjerg-style strategic misrepresentation detection. Returns a RAG scorecard with issues ranked by severity.

Audit paid-ad creative assets for quality, platform compliance, fatigue, and performance, producing prioritized refresh or experiment briefs.

Audit websites for technical SEO, on-page, and content issues, and generate prioritized action plans to improve organic search performance.

Drafts GDPR Article 28-compliant Data Processing Addenda with schedules ready for execution. Use when drafting or updating a DPA, vendor GDPR addendum, controller-processor agreement, or data protection addendum involving sub-processors, breach notification, audits, international transfers, or SCCs.

Audit ad-to-landing-page message match, conversion elements, and UX friction

Verifies every bibliographic entry in a paper for existence, metadata accuracy, and contextual support using web/DBLP/arXiv lookups, flagging hallucinated authors, wrong years, fabricated venues, and misattributed citations.

Audit a page or site across keywords, on-page, content gaps, and technical health, then return a prioritized impact/effort action list.

Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines. Use PROACTIVELY for content review.

Auto-audit any website end-to-end — technical health, SEO basics, broken links, mobile rendering, design quality, copy clarity, and conversion readiness — producing a scored, evidence-backed report. Two modes: PROSPECT mode (fast audit of a lead's site to generate evidence for outreach; emits a portable audit_packet JSON other tools can consume) and QA mode (deep pre-launch / post-launch gate on a site you built, with pass/fail checklist). Use whenever the user asks to "audit this site", "run a website audit", "what's broken on this site", "check this prospect's website", "QA this build", "is this site ready to launch", or provides a URL asking what works and what doesn't.

Audits a repository for comment coverage and brings under-commented source files up to standard, one file at a time, with a resumable tracker.

Extract actionable insights from blog posts, web articles, and practitioner content - assess credibility, run security checks, and either improve existing skills or apply to the current project. Load when the user asks to learn from an article, extract insights from a blog post, apply a practitioner's findings, or process engineering blog content. Also triggers on "learn from this article", "learn from this blog post", "extract insights from this post", "what can we learn from this article", "apply this article", or when the user links to a blog, Medium, Substack, dev.to, or engineering blog post.

When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.

Audits a website from three perspectives—design, SEO/technical, and LLM/AI-search visibility—and produces a scored, evidence-bound report with prioritized improvements.

Audits any movemental.com page across UI, content, architecture, UX, and conversion, then writes a markdown report and a standalone fix prompt.

Audit a site for SEO issues and get a prioritized fix list.

Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit".

Perform a structured audit of a codebase covering security, code quality, performance, dependencies, architecture, and testing hygiene, then produce a prioritized findings report. Use this skill whenever the user asks for a code review, code audit, security review, codebase assessment, "look over this repo", "what's wrong with this codebase", legacy-code triage, pre-acquisition technical due diligence, or any request to systematically evaluate the health of a project. Trigger even when the user is casual ("can you eyeball my repo?") — this skill imposes the structure that ad-hoc review misses. This skill audits a whole repository at a point in time — for reviewing a diff or PR use the built-in code-review skill; for security checks on pending changes use security-review.

When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check." For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup.

Run a source-grounded paid-advertising audit across major platforms including Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Produces a versioned JSON audit bundle and human-readable reports with platform health scores, evidence coverage, and prioritized actions.

Decide whether an article deserves publication through hard checks and skeptical comparison.