Eliminates AI-generated writing patterns that erode reader trust. Use when writing or editing articles, docs, or press releases.
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。
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概要と使いどころ
Eliminates AI-generated writing patterns that erode reader trust. Use when writing or editing articles, docs, or press releases.
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。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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。
Writing, exploit: shape raw material into an article, paragraph by paragraph.
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。
Python bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops. Automates Fiji headlessly from Python. Use scikit-image for pure Python without Fiji plugins; napari for visualization.
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。
When the user needs to create help center articles, FAQs, troubleshooting guides, API documentation, or getting-started guides for customers.
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 planning a new article. The agent Googles the keyword, reads the top 10 results, classifies intent, maps the content gap, and produces a writer-ready brief with structure, outline, and on-page artifacts. No keyword tool required.
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 writing a complete SEO article. Includes the full anti-AI-slop ruleset (banned vocabulary, banned phrases, banned structural patterns) and voice rules. The agent researches the SERP itself if needed — no keyword data exports required.
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。
テーマからアウトライン生成→文体プロファイル適用→Markdown記事出力を行う記事執筆スキル。 挿絵マーカーの自動挿入、style-analyzerプロファイル参照による文体統一に対応。 「記事を書いて」「ブログ作成」「テーマで記事生成」等のリクエストで発動。
Processes external resources into stored knowledge with quality scoring and routing. Use when ingesting articles, papers, or docs into a memory palace.
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。
Writes and restructures technical documentation - READMEs, tutorials, how-to guides, user guides, architecture docs, onboarding guides, runbooks and SOPs, troubleshooting guides, release notes, and knowledge base articles - grounded in the actual code or product, with commands and examples verified where possible. Use when the user asks to document a project, feature, system, or process, write or fix a README, explain a codebase to new developers, turn notes into a guide, or make existing docs clearer. For endpoint-by-endpoint API reference or OpenAPI specs, use api-documentation-writer; for CLAUDE.md or AGENTS.md files, use claude-md-writer.
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。
Transform podcast transcripts into comprehensive content marketing suites including blog posts, social media content, newsletters, SEO-optimized articles, and timestamps. Use when user provides podcast transcripts or wants to repurpose podcast content.
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。
Convert content between platforms (blog to Twitter thread, article to LinkedIn post, etc.). Optimize for each platform's format, tone, and best practices. Use when user wants to adapt content for different social media 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。
Use when drafting a medical research manuscript or any IMRAD section. Runs an 8-phase pipeline from outline to submission-ready draft for original articles, AI validation studies, case reports, meta-analyses, technical notes and more. Checking a draft is /self-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。
Use when writing a literature review article (narrative, scoping PRISMA-ScR or systematic). Scaffolds a 7-part skeleton with a scope and non-overlap statement, summary-table stubs and reporting-guideline wiring, without inventing citations. Original research is /write-paper.
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。
Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
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。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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。
Kinetic typography, logo animations, and stylized motion design skill. **Triggers when:** - User wants text animations or kinetic typography - Request involves logo reveals or title sequences - Content focuses on visual impact over education - User mentions "title", "intro", "logo", "text animation", "kinetic" **Capabilities:** - Kinetic typography with dynamic text effects - Logo reveals and brand animations - Particle effects and visual flourishes - Modern motion design patterns - Attention-grabbing title sequences
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。
Vendor breach notification cascade management per GDPR Article 33(2). Covers processor-to-controller notification without undue delay, escalation paths, coordinated multi-party breach response, liability allocation, and regulatory notification coordination.
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。
Pre-contract vendor privacy due diligence per GDPR Article 28(1). Covers risk questionnaires, technical controls assessment, certification review, data flow analysis, and documented sufficiency decisions for processor engagement.
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。
Vendor termination data return and deletion procedures per GDPR Article 28(3)(g). Covers data extraction formats, deletion certification requirements, transition planning, residual data handling, and post-termination verification.
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。
Preparation guide for ISO 31700 privacy by design for consumer goods certification. Covers the 30 requirements across design, production, and disposal phases. Includes gap assessment methodology, remediation planning, and mapping to GDPR Article 25 data protection by design obligations for consumer-facing products and services.
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 implement Purpose-Based Access Control (PBAC) architecture including purpose ontology definition, policy engine configuration, audit logging of purpose verification at query time, and integration with existing IAM systems. Enforces GDPR Article 5(1)(b) purpose limitation technically.
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。
Guides implementation of EU Standard Contractual Clauses under Commission Decision 2021/914 across all four modules (C2C, C2P, P2P, P2C). Covers clause-by-clause completion, Annex I-III drafting, and SCC module selection. Keywords: SCCs, standard contractual clauses, module selection, data transfers, Annex completion.
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。