150건 · 관련도순
TRIGGER THIS when crafting job descriptions, posting new roles, defining position requirements, creating hiring briefs, updating JDs, or structuring role expectations. Creates compelling, inclusive, DEI-focused job descriptions with clear requirements, responsibilities, qualifications, salary transparency, and modern hiring language.
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Research competitor paid-ad presence, messaging, creative, formats, landing pages, keyword and auction signals, transparent ad libraries, and strategic gaps across supported platforms. Use for competitor ads, ad libraries, ad spy, competitive PPC analysis, competitor creative, Google Ads Transparency, Meta Ad Library, or paid-media competitor research.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency, high-risk controls, general-purpose AI obligations, governance, and implementation milestones. Use when an organization needs to triage an AI use case, vendor, model, product, or portfolio for Regulation (EU) 2024/1689; prepare an AI inventory, gap register, implementation roadmap, or counsel briefing; assess provider, deployer, importer, distributor, product-manufacturer, authorised-representative, or GPAI-provider responsibilities; or re-check readiness after regulatory or product changes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Read metrics off web dashboards with Firecrawl browser: public stats, status and transparency pages as well as analytics tools the user is signed in to. Use when the user wants numbers, KPIs or charts from a dashboard turned into a report, summary or date-range table, even without an explicit request to scrape.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Test for regulatory compliance: GDPR/CMP consent verification, Google Consent Mode v2, Global Privacy Control (GPC), CCPA/US state opt-out, EU AI Act Article 50 transparency, Better Ads Standards, and cookie-inventory auditing. Covers automated consent-flow testing, third-party script blocking before consent, and cookie drift detection. Use when: "GDPR test," "compliance," "CMP test," "cookie consent," "consent mode," "CCPA," "GPC," "AI Act," "Better Ads," "privacy banner." Not for: WCAG/axe-core test authoring — use accessibility-testing. Not for: OWASP/vuln scanning — use security-testing. Not for: evaluating your LLM feature's quality or safety — use ai-system-testing. Related: accessibility-testing, security-testing, ai-system-testing, ci-cd-integration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract and analyze competitor advertising from public ad libraries (Facebook Ad Library, Google Ads Transparency Center, TikTok, LinkedIn). Identifies messaging patterns, creative formats, pain points targeted, and positioning gaps. Use for competitive intelligence, campaign planning, and creative inspiration.
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Censys search engine for internet-connected hosts, TLS certificates, and web properties. Use when: certificate transparency monitoring, finding hosts by certificate fingerprint, alternative to Shodan for TLS/SSL analysis, discovering hosts running specific services, or tracking infrastructure changes via cert issuance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
The craft of communicating technical concepts clearly to developers. Developer communications isn't marketing—it's about building trust through transparency, accuracy, and genuine utility. The best devrel content helps developers solve real problems. This skill covers technical documentation, developer tutorials, API references, changelog writing, developer blog posts, and developer community engagement. Great developer communications treats developers as peers, not leads to convert. Use when "documentation, docs, tutorial, getting started, API reference, changelog, release notes, developer guide, devrel, developer relations, code examples, SDK docs, README, documentation, devrel, tutorials, api-docs, developer-experience, technical-writing, getting-started, changelogs" mentioned.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This skill should be used when the user asks anything about Adobe After Effects — to "write an After Effects expression", "make a wiggle / loopOut / inertial bounce", "rig a control with a slider / null", "build a MOGRT / Essential Graphics template", "export AE to Lottie or Media Encoder"; OR to "export from After Effects", "export with transparency / an alpha channel", "fix a black background on export", "choose ProRes vs H.264", "which codec / what bitrate for 1080p / 4K", "stop H.264 disappearing from the Render Queue"; OR when "After Effects is slow / laggy / crashing / froze", "RAM preview won't play in real time", "AE is using all my memory / render takes forever", "how do I speed up After Effects"; OR to "organize my After Effects project", "relink missing footage", "fix broken links after moving files", "set a folder structure / naming conventions", "batch rename layers", or "write an ExtendScript / .jsx script". Covers expressions & rigging, export recipes, performance triage, and project hygiene.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Read metrics off web dashboards with Firecrawl browser: public stats, status and transparency pages as well as analytics tools the user is signed in to. Use when the user wants numbers, KPIs or charts from a dashboard turned into a report, summary or date-range table, even without an explicit request to scrape.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Bias detection and mitigation, fairness metrics, privacy frameworks, consent models, transparency requirements, and accountability structures for data science practice. Covers algorithmic bias sources, disparate impact testing, differential privacy, GDPR principles, model cards, datasheets for datasets, responsible AI frameworks, and the organizational governance needed to make ethics actionable. Use when auditing models for bias, designing privacy-preserving systems, establishing governance processes, or evaluating the social impact of data-driven decisions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Research competitor ads using Meta Ad Library, Google Ads Transparency Center, and TikTok Creative Center. Analyze creative patterns, hooks, offers, and landing pages.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use to assess regulatory applicability for products that may fall under AI regulation (EU AI Act, Article 50 transparency).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This skill should be used when the user asks to "add a glassmorphism effect", "frosted glass UI", "Apple liquid glass style", "frosted blur card", "translucent glass panel animation", "make a frosted nav bar", "build a glass modal/dialog", "animate a glass card on hover", or "add a refracting liquid-glass hero". Covers frosted translucent panels with backdrop-filter blur, edge/specular highlights, SVG liquid-glass refraction, motion on hover/scroll/enter, and accessible reduced-transparency fallbacks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create or refine custom icon assets as native or traced SVGs and transparent PNG/WebP files. Use when the user asks for a bespoke icon or cohesive icon set, wants an image traced into a clean vector, or needs a detailed or 3D icon with transparency.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write AI disclosure policies for transparency with customers and stakeholders. TRIGGERS - Use when user needs help with ai-disclosure-policy related tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI governance audit using ISO 42001 standard. Ensures AI systems are developed and deployed responsibly with risk management, ethics, security, transparency, and compliance best practices.
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"Apply AI ethics frameworks (fairness, accountability, transparency, privacy) to evaluate AI systems for algorithmic bias, explainability gaps, and value alignment failures. Use this skill when the user needs to audit an AI system for ethical risks, design fairness constraints, assess explainability requirements, or when they ask 'is this AI system fair', 'how do we detect algorithmic bias', 'what are the ethical implications of this AI deployment', or 'how do we make this model explainable to stakeholders'.".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build with BAAI's Aquila models — open bilingual models from Beijing's academy with research transparency.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Detects insecure network communication in mobile apps (Android/iOS). Trigger on: cleartext HTTP, TLS misconfiguration, certificate pinning bypass, hostname verification disabled, allowCleartextTraffic, NSAllowsArbitraryLoads, ATS exceptions, custom TrustManager, ALLOW_ALL_HOSTNAME_VERIFIER, TLS 1.0/1.1, weak cipher suites, certificate pinning absent, Network Security Configuration, onReceivedSslError, SSLSocket, OkHttp, NSURL, URLSession, certificate transparency, HSTS, MITM. Covers MASVS-NETWORK-1 (TLS required) and MASVS-NETWORK-2 (certificate validation).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Deep OSINT reconnaissance using the MITRE ATT&CK Reconnaissance framework. Email harvesting with SMTP verification, subdomain takeover detection, certificate transparency mining, Shodan/Censys intelligence, Wayback Machine historical analysis, social media profiling, cloud storage enumeration, document metadata extraction, DNS history, credential leak checks, and passive infrastructure mapping. Uses theHarvester, amass, dnsrecon, fierce, dnstwist, dmitry, whatweb, wafw00f, exiftool, metagoofil, smtp-user-enum, swaks, waybackurls, subfinder, and crt.sh. Pure reconnaissance — no active exploitation. Produces: confidence-scored findings, infrastructure diagram, employee roster, email pattern confirmation, subdomain takeover candidates. Chains into /pentester for active testing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Document a machine learning model in a structured, transparent format for stakeholders, reviewers, and future maintainers. Use when the user says "document this model", "write a model card", "model documentation", "how should I document my ML model", "bias and fairness report", "model transparency", "what does this model do", "model handoff", "production model documentation", or needs to communicate what a model does, how it was built, where it works, and where it fails.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Research competitor paid-ad presence, messaging, creative, formats, landing pages, keyword and auction signals, transparent ad libraries, and strategic gaps across supported platforms. Use for competitor ads, ad libraries, ad spy, competitive PPC analysis, competitor creative, Google Ads Transparency, Meta Ad Library, or paid-media competitor research.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.