Internal implementation skill invoked by /add-native for pen, signature, ink, drawing, and handwriting capture workflows using @microsoft/power-apps-native-pen-input.
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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Internal implementation skill invoked by /add-native for pen, signature, ink, drawing, and handwriting capture workflows using @microsoft/power-apps-native-pen-input.
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。
Public entry point for native device capabilities and native controls — camera, image picker, barcode/QR scanner, document picker, file picker, secure storage, file system, sharing, haptic feedback, PDF generation/viewing, pen/signature capture, background GPS/geolocation tracking, or supported local file workflows — in a Power Apps mobile app. Also owns routing to internal camera/PDF/pen/geolocation implementation helpers and the guidance boundary between native wrappers and Dataverse File/Image host controls.
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。
How humans and AI compose in content workflows. Where AI legitimately participates, where humans must own, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration, and the ethics of intellectually honest AI-assisted content production. Triggers on AI content workflow, AI-assisted writing, hybrid content production, AI in editorial, AI slop, AI disclosure, AI usage policy, AI content ethics, voice preservation with AI, team AI calibration. Also triggers when content feels generic despite quality tools, when team AI usage has drifted into inconsistency, or when a regulated or trust-sensitive context requires explicit AI 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。
Manage GitOps workflows with Flux and ArgoCD. Use for sync status, reconciliation, app management, source management, and GitOps troubleshooting.
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 GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing Agreements (DPAs), and consent notices, (3) answering GDPR compliance questions with authoritative article citations, and (4) reviewing data flows and PII handling practices. Use this skill whenever the user mentions GDPR, data protection, privacy compliance, lawful basis, data subject rights, DPA, privacy notices, consent management, data breaches, DPIAs, controller/ processor relationships, cross-border data transfers, or any EU/UK data privacy topic. Also trigger for questions like "is this GDPR compliant?", "how do I handle personal data?", "what does a privacy policy need?", or any request involving PII, personal data, or data retention in a regulatory context.
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 Section 508 compliance advisor for US federal ICT accessibility. Use this skill whenever a user asks about Section 508, WCAG 2.0/2.1 AA for federal systems, VPAT or Accessibility Conformance Reports (ACR), accessibility audits, remediation planning, PDF accessibility, web or software accessibility, mobile accessibility, federal procurement accessibility requirements, contractor obligations, undue burden exceptions, assistive technology compatibility, or Section 508 testing. Covers the Revised Section 508 Standards (2018), all WCAG 2.0 Level AA success criteria, the four POUR principles, testing methodologies, and agency compliance workflows. Trigger even if the user doesn't say "skill" — any Section 508 or ICT accessibility question for federal systems should use this skill.
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 Vietnam Personal Data Protection Law (PDPL) compliance advisor for Law No. 91/2025/QH15 and implementing Decree 356/2025/ND-CP (effective January 1, 2026). Use this skill for gap analysis against the Vietnam PDPL, data subject rights fulfilment workflows, cross-border data transfer impact assessments, privacy notices and internal policies, breach notification procedures, sector-specific obligations (finance, AI, cloud, blockchain), and DPO qualification reviews. Trigger whenever a user mentions Vietnam data privacy, VN-PDPL, Nghị định 356, Vietnamese personal data, or cross-border transfers involving Vietnamese citizens' data.
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。
ForgeCAD model authoring, editing, debugging, and execution guidance for .forge.js, SVG-import, assembly, and CLI workflows. Use when building or modifying ForgeCAD geometry, structuring multi-file projects, validating scripts, or using ForgeCAD export/render tooling.
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。
Edit, validate, debug, publish, and inspect ReachAI Workflow drafts through the Workflow AI Coding REST API. Use when asked to create or modify a workflow graph, add/update/delete nodes or edges, validate GraphSpec, dry-run or debug-run a workflow, inspect trace/run output, check release readiness, publish a validated draft, or work on PAGE_ASSISTANT workflows from Cursor/Codex.
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, research, revise, restyle, present, inspect, and export Codex Slides slide decks from Codex, including scenario workflows, project Design Files, and always-on brand design systems. Use when the user asks for a presentation, PPT/PPTX, slide deck, research brief converted into slides, an existing deck edit, a marked-up slide revision, brand/style controls, project files, or to open and operate Codex Slides in the Codex in-editor Browser.
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。
Linear expert for workspace/team admin, Cycles, Projects, Initiatives, Roadmaps, GraphQL API queries, triage workflows, GitHub integration, bulk operations, and Jira-to-Linear migration.
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。
Notion expert for product management workflows. Use for database design for PRDs/OKRs/Roadmaps/Decisions, property and view design, page architecture, Notion REST API, and sync with Jira, Linear, and GitHub.
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。
Jira expert for project setup, workflow design, JQL queries, custom fields, automation rules, dashboards, and reporting. Use for Jira configuration, advanced search, board and dashboard creation, and technical Jira operations.
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, modify, and govern reusable Jira and Confluence templates, blueprints, and standardized content structures. Use for org-wide templates, custom blueprints, page layouts, and automated content generation.
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。
Document control for medical device QMS, covering numbering, version control, change management, and 21 CFR Part 11 compliance. Use for document control procedures, change control workflows, and electronic signature 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。
Productboard expert for workspace setup, Insight-to-Feature triage, Driver scoring, Releases, Roadmap views, and REST API automation. Use for Productboard administration, prioritization workflows, and programmatic API operations.
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。
Operations management across process optimization, efficiency, and continuous improvement. Use when designing workflows, building capacity plans, evaluating vendors, running Lean Six Sigma DMAIC projects, or optimizing cost-per-unit.
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。
Prompt engineering and LLM evaluation. Use when optimizing prompts, designing prompt templates, evaluating LLM outputs, building agentic systems, implementing RAG, creating few- shot examples, or designing structured-output workflows.
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。
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.
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。
MLOps across model deployment, ML pipelines, monitoring, and feature stores. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.
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。
Multi-agent DAG orchestration for workflows where AI agents collaborate via dependency graphs, covering agent spawning, output merging, and quality evaluation. Use when a task needs multiple specialized agents or to parallelize AI work.
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 multi-agent orchestration with workflow DAGs, routing, handoff protocols, and state management. Use when building pipelines of specialized agents, designing fan-out/fan-in patterns, or implementing fault-tolerant workflows.
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。
Molecular data processing, featurization, and cheminformatics workflows
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。
Designs production-grade ML pipeline infrastructure with experiment tracking, Kubeflow/Airflow DAGs, feature store schemas, model registries, and automated retraining workflows.
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。