269건 · 관련도순
/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).
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/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).
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Sep 24, 2025 Deep Dive into Context Engineering for Agents Sep 18, 2025 Architectures for Multi-Agen
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Protocol ACP | Techzine Oct 08, 2025 Zed Code Editor Adds Agent Protocol for Flexible AI Integration | WebProNews Aug 28, 2025 Google Integrates Gemin
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倫理的かつ効率的な英語論文執筆を支援するスキル（水本 2025; langtech.jp/ai-writing/ に基づく）。 論文の英語化，校正，構成相談，査読対応，AI利用申告の作成を，学術的誠実性のガードレール付きで行う。 以下のような場面で必ず使用すること： 「論文の英語を直して」「英語論文を書きたい」「この段落を校正して」「査読コメントに返事を書きたい」 「AI利用の申告文を作りたい」「Introduction/Methods/Results/Discussionを書きたい」 「カバーレターを書きたい」「論文の構成を相談したい」「英文を洗練したい」 「日本語を英語にしたい」「表現の候補を出して」「時制をチェックして」 英語論文に関するあらゆる執筆支援タスクで使用する。
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Prepares statistical reports for clinical trials following CONSORT 2025, SPIRIT 2025, ICH E9(R1) estimands, and FDA 2023 covariate adjustment guidance. Covers Table 1 generation, analysis populations (ITT/FAS/PP/Safety), the 5 ICH E9(R1) intercurrent-event strategies, MMRM under MAR (mmrm), reference-based MI (rbmi J2R/CR/CIR), Permutt tipping-point sensitivity, and Rubin's-rules vs frequentist variance debate. Use when preparing regulatory submissions, defining estimands, or implementing missing-data sensitivity analyses.
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Prepares statistical reports for clinical trials following CONSORT 2025, SPIRIT 2025, ICH E9(R1) estimands, and FDA 2023 covariate adjustment guidance. Covers Table 1 generation, analysis populations (ITT/FAS/PP/Safety), the 5 ICH E9(R1) intercurrent-event strategies, MMRM under MAR (mmrm), reference-based MI (rbmi J2R/CR/CIR), Permutt tipping-point sensitivity, and Rubin's-rules vs frequentist variance debate. Use when preparing regulatory submissions, defining estimands, or implementing missing-data sensitivity analyses.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Prepares statistical reports for clinical trials following CONSORT 2025, SPIRIT 2025, ICH E9(R1) estimands, and FDA 2023 covariate adjustment guidance. Covers Table 1 generation, analysis populations (ITT/FAS/PP/Safety), the 5 ICH E9(R1) intercurrent-event strategies, MMRM under MAR (mmrm), reference-based MI (rbmi J2R/CR/CIR), Permutt tipping-point sensitivity, and Rubin's-rules vs frequentist variance debate. Use when preparing regulatory submissions, defining estimands, or implementing missing-data sensitivity analyses.
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State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.
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Hunting skill for auth bypass vulnerabilities. Built from 12 public bug bounty reports across SAML XSW / parser-differential (GitHub Enterprise CVE-2025-25291/25292), SAML signature stripping (Uber, Rocket.Chat, samlify CVE-2025-47949), SAML domain enforcement bypass via control characters (HackerOne 2024), partner-portal cross-IdP assertion reuse (Slack), WordPress XMLRPC bypassing SSO (Uber), JWT alg-confusion HS256/RS256 (Jitsi), JWT signature-validation skip (Linktree, Newspack), and token-audience confusion (Argo CD CVE-2023-22482). For standalone JWT signature/crypto forging (alg:none, key confusion, kid/jku) see hunt-jwt-crypto; this skill covers JWT only inside SSO/SAML/token-trust bypass chains. SAML assertion-layer attacks (XSW, comment injection, signature stripping, XXE-in-assertion) are owned by hunt-saml; this skill owns the broader cross-protocol auth-bypass taxonomy. Use when hunting auth bypass — see the Legacy-Protocol Matrix for branded-UI vs legacy-endpoint patterns.
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WhatsApp의 지정한 상대나 그룹에 메시지와 파일을 보내고 대화 기록을 동기화하거나 검색합니다. 이름, 전화번호, 키워드와 기간으로 이전 대화를 찾을 수 있습니다.
Claude Sonnet 4.0·4.5 또는 Opus 4.1을 쓰는 코드와 API 설정을 Opus 4.5로 이전하고, 필요에 따라 프롬프트도 조정합니다.
Search people, companies, and deals in Attio using natural language. Apply detailed filters, sort records, review related notes, and inspect available fields through Composio, a service that connects agents to external tools.
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Support product planning for Auri, a voice assistant combining Alexa and Claude. Covers product vision, the Vitoria Neural persona, AWS architecture, service tiers, a four-phase roadmap, market launch planning, success metrics, and competitive analysis.
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Improve mobile app listings on Apple App Store and Google Play Store through keyword research, competitor and review analysis, and listing revisions. Produce metadata suggestions, visual asset guidance, A/B test plans, and launch checklists.
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Retrieve GitHub Copilot usage for an organization or enterprise through the GitHub CLI and REST API. Summarize active users, suggestion acceptance, and chat activity, with aggregate results or per-user tables for selected dates.
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Screen AI application inputs and historical logs for prompt injection, where malicious instructions try to redirect the model. Combine pattern matching, text structure scoring, and a DeBERTa classifier to flag suspicious content and produce JSON results.
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Review personal data handling against GDPR requirements, covering processing records, legal grounds, individual rights, breach procedures, and international transfers. Produce findings by article and a prioritized improvement roadmap with responsibilities, estimated costs, and timelines.
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Assess the security of RAG systems, which retrieve documents to support AI answers. Test whether stored vectors expose source text, leak documents between tenants, or allow inserted content to dominate search results, then document findings and controls.
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Improve mobile app listings on Apple App Store and Google Play Store through keyword research, clearer descriptions, visual asset guidance, and review analysis. Create competitor reports, A/B test plans, and launch checklists to guide store page improvements.
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Build search and recommendation features with Pinecone, a managed database for numerical representations of content. Covers data loading, combined meaning and keyword search, filtering by attributes, and separating data by user.
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Guides the use of RWKV, a language model architecture that carries information forward in a compact state. Covers streaming text generation, long document processing, fine-tuning, and memory comparisons with Transformers.
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Search financial news, industry developments, and company sentiment using natural-language questions. Retrieve related headlines, summaries, sources, and article links through a Python script, with optional date ranges to focus the search on a specific period.
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Prepare a new month of tracking in Google Sheets by copying a template tab within the same spreadsheet and renaming the copy for the month you want to record.
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