1,469 件 ・ 関連度順
概要と使いどころ
Use when choosing, implementing, reviewing, or refactoring frontend state ownership across React, Vue, Next.js, Nuxt, URL state, server state, form state, browser persistence, or global stores. Prefer narrower skills for TanStack Query cache details, browser storage persistence, or form validation internals; Chinese triggers include state management, state ownership, store selection.
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 implementing UI from Figma, Sketch, MasterGo, Pixso, Modao, MockingBot, screenshots, design selections, design tokens, or design-to-code tasks for production frontend components/pages; Chinese triggers include design draft, implementation by design.
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。
Field marketing, events, and webinars for B2B SaaS. Use this skill for conference and sponsorship selection, booth strategy, owned events and roadshows, executive dinners, the webinar program, and event-sourced pipeline measurement. Also triggers on: field marketing, events, conference, trade show, booth, sponsorship, roadshow, executive dinner, webinar, webinar follow-up, webinar lead handoff, event ROI, event pipeline, user conference, meetups.
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。
Account-based marketing for B2B SaaS. Use this skill to build a target account list, tier it 1:1 / 1:few / 1:many, size it against sales capacity, turn intent and engagement signals into plays, write the multi-channel orchestration contract each tier runs on, and measure the program in account coverage, penetration and pipeline instead of MQLs. Also triggers on: ABM, account-based marketing, target account list, TAL, named accounts, account tiering, 1:1 ABM, one-to-few, programmatic ABM, account selection, ideal customer profile fit, intent data, buying signals, 6sense, Bombora, Demandbase, account penetration, account coverage, sales and marketing alignment on accounts, enterprise account program.
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 a task needs the judgment of an Equal Opportunity Representative or Officer — running an adverse-impact analysis on hiring or promotion selection rates, conducting an availability analysis to set affirmative action placement goals, evaluating a compensation-equity regression for unexplained pay gaps, or preparing an affirmative action plan (AAP) for an OFCCP audit.
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 a task needs the judgment of an Animal Scientist — formulating a least-cost livestock ration against nutrient requirements, evaluating breeding stock using EPDs or a selection index, diagnosing a feed-conversion-ratio decline, or designing a growth/reproduction performance-monitoring plan for a livestock operation.
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。
Plan and execute integrative analysis combining multiple ENCODE experiments for cross-dataset or multi-omic workflows. Use when the user wants to combine experiments, perform cross-dataset comparison, multi-omic integration, peak overlap analysis, differential binding, signal correlation, chromatin state segmentation, enhancer-gene linkage, or any analysis that requires merging or comparing data from two or more ENCODE experiments. Covers same-assay cross-sample, multi-omic same-sample, cross-organism, and perturbation integration designs. Guides compatibility checks, batch effect detection, normalization, integration strategy selection, and provenance documentation.
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。
Execute ENCODE ATAC-seq processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides stage-by-stage Nextflow execution with Docker containers and cloud deployment. Handles Tn5 transposase offset correction, mitochondrial read removal, and nucleosome-free fragment selection. Use when users need to process ATAC-seq data following ENCODE standards. Trigger on: ATAC-seq pipeline, run ATAC-seq, process ATAC-seq, chromatin accessibility, open chromatin, Tn5 shift, TSS enrichment.
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。
Guidance for selecting and configuring frontend frameworks for Tauri v2 with static export compatibility.
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 designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.
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。
UI・機能・コンポーネントの実装レイヤー（HTML/CSS/JavaScript）を決定する判断基準。実装・修正の着手前に必ず読む。アコーディオン、モーダル、ポップオーバー、開閉・切替などのインタラクション実装を依頼されたときに使う。
Electrical and electronic engineering reference — circuit analysis, component selection, power supply design, signal integrity, RF, thermal, EMC, and test & measurement. Use for design questions, calculations, component vetting, and first-principles analysis. Do not orchestrate a complete new board from requirements; use circuit-weaver for that end-to-end workflow.
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。
Search Mouser Electronics for electronic components — secondary source for prototype orders. Find parts, check pricing/stock, download datasheets, analyze specifications. Use with KiCad for BOM creation and part selection. Use this skill when the user specifically mentions Mouser, when DigiKey is out of stock or has worse pricing, when comparing prices across distributors, or when searching for parts that DigiKey doesn't carry. For package cross-reference tables and BOM workflow, see the `bom` 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。
Manage an electronics bill of materials across distributors and fabricators: part selection, stock, pricing, alternates, ordering, KiCad properties, and BOM/CPL export. Use for distributor-neutral sourcing, cost comparison, order preparation, or requests such as "what parts do I need" and "export for JLCPCB". Do not take over schematic analysis or a complete new-design workflow unless the requested task is specifically its sourcing/manufacturing stage.
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。
Teach models new tasks from a handful of examples — prompting strategies, example selection, and in-context learning mechanics.
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。
Build custom data visualizations with D3: selections, scales, axes, transitions, and reusable chart patterns. Use when off-the-shelf charts aren't enough.
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。
Plan and protect deep work: scheduling focus blocks, task selection, shutdown rituals, and measuring depth. Use when important work never gets sustained attention or days fill with shallow tasks.
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。
Structured ideation for technical problems: divergent generation, constraint framing, and convergent selection. Use when stuck on a design, naming, architecture, or feature approach and need fresh options.
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。
Ship AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.
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。
Run ABM programs — target account selection, personalized campaigns, sales orchestration, and account-level measurement.
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。
Audit warehouse management system operations -- evaluate WMS platform architecture (Manhattan, Blue Yonder, SAP EWM, Korber, Infor), inbound receiving and ASN processing, putaway rules and cross-docking logic, picking strategy selection (discrete, batch, zone, wave, cluster.
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。
Analyze franchise expansion plans, model new market entry, score site selection candidates, map territory density, assess cannibalization risk, and build multi-year growth scenarios.
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。
Analyze packaging configurations for carton size selection, void fill minimization, palletization efficiency, sustainable materials, and total packaging cost reduction aligned with ISTA and ASTM D4169 standards..
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。
Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, evidence-backed explanations, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, optional FAQ sections, internal linking zones, and proper heading hierarchy. Supports MDX, markdown, and HTML output. Use when user says "write blog", "new blog post", "create article", "write about", "draft blog", "generate blog post".
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。