213 件 ・ 関連度順
概要と使いどころ
Windows アプリ開発 (Windows App SDK / WinRT) のファイル・設定・データ保存リファレンス。 Windows.Storage の StorageFile, StorageFolder, IStorageItem, FileIO, PathIO, CachedFileManager, DataReader, DataWriter。ApplicationData, ApplicationDataContainer, ApplicationDataCompositeValue によるローカル・ローミング設定。 FileOpenPicker, FileSavePicker, FolderPicker, StorageApplicationPermissions, KnownFolders によるファイルアクセスと権限。JsonObject, JsonArray, XmlDocument, SQLite, EF Core によるシリアライズと永続化。
要件が確定した複数 PR 規模の機能開発（epic）を、並列調査と全体設計判断を経て PR スタックと実装セッション向け計画書に落とし込む。「実装計画を立てて」「PR 分割して」「計画書を作って」「タスク分割をして」等の依頼時、複数 PR 規模の実装着手前に使用。計画確定後に「PR-X を実装して」と担当を指定された実装セッションでも使う。境界: 要件定義は design-feature、単一 PR で済む規模は Phase 0-5 を直接適用。
現在の変更内容を確認し、適切なブランチ名を提案してブランチを作成するときに使う。ユーザーが「ブランチ作って」「作業用ブランチ切りたい」「変更に合わせてブランチ名を決めて」と言ったとき、または新規作業を始める前にブランチを作りたいときに適用する。git status / diff を確認し、プレフィックス規則（feat/fix/release/epic）に従ってブランチ名を提案し、ユーザー確認後に git checkout -b で作成する。
Triage a single GitHub PR by PR number. Check out the PR's branch, detect conflicts with the target branch via `gh pr status` (and label the PR with `cc-resolve-conflict` if any are found), collect unresolved review comments and CI status and judge only whether each item must be fixed, then take action (add cc-fix-onetime label if fixes are needed; if release-ready, add cc-release-ready label for an Epic PR marked `cc-epic-issue` instead of merging, otherwise merge the PR).
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。
专业需求分析师，通过多轮对话将简短想法转化为详细需求文档。使用此技能当用户需要：(1) 分析和记录需求，(2) 将 EPIC 分解为需求和用户故事，(3) 对多个需求进行优先级排序，(4) 识别利益相关者和依赖关系，(5) 定义验收标准，(6) 创建需求文档。支持单个需求分析、EPIC 分解、MoSCoW/RICE/Kano 等优先级排序方法。
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 for creating the high-level technical architecture for an Epic, based on a Product Requirements Document.
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。
Assess the impact of a significant change during sprint execution across the PRD, epics, architecture, and UX documents, and produce a sprint change proposal. Use when the user says "correct course" or "propose sprint change"
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。
Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.
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 for creating Product Requirements Documents (PRDs) for new features, based on an Epic.
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 immersive, cinematic 2.5D interactive websites using scroll storytelling, parallax depth, text animations, and premium scroll effects — no WebGL required. Use this skill for any web design task: landing pages, product sites, hero sections, scroll animations, parallax, sticky sections, section overlaps, floating products between sections, clip-path reveals, text that flies in from sides, words that light up on scroll, curtain drops, iris opens, card stacks, bleed typography, and any site that should feel cinematic or premium. Trigger on phrases like "make it feel alive", "Apple-style animation", "sections that overlap", "product rises between sections", "immersive", "scrollytelling", or any scroll-driven visual effect. Covers 45+ techniques across 8 categories. Always inspects, judges, and plans assets before coding. Use aggressively for ANY web design task.
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。
Break a large story or epic into smaller deliverable stories using proven split patterns. Use when backlog items are too big for estimation, sequencing, or independent release.
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 a strategic roadmap across prioritization, epic definition, stakeholder alignment, and sequencing. Use when turning strategy into a release plan that teams can execute.
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。
Triage Abridge recording, note-review, Epic handoff, and access failures from observed evidence without inventing vendor error codes. Use when an Abridge clinical workflow is degraded. Trigger with "diagnose this Abridge issue".
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。
Maps GWAS-implicated loci to candidate effector (causal) genes by integrating variant-to-gene (V2G) features via Open Targets L2G (Mountjoy 2021), MAGMA gene-based association (de Leeuw 2015), FUMA SNP2GENE, cS2G combined SNP-to-gene scores (Gazal 2022), Polygenic Priority Scores (PoPS, Weeks 2023), FLAMES, INQUISIT, DEPICT, and enhancer-gene predictors (ABC, ENCODE-rE2G). Use when narrowing a GWAS lead locus to a candidate causal gene, picking between proximity, eQTL-based, and similarity-based prioritizers, integrating multi-evidence streams (fine-mapping, colocalization, ABC enhancer-gene, distance, chromatin), reconciling discordant L2G vs PoPS calls, prioritizing tissue-specific eQTL evidence, or triangulating across at least three independent lines of evidence for a publication-grade effector-gene nomination.
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 an agent drives Unreal Engine 5.8 on a Mac for any task: Editor Python (the unreal module), headless UnrealEditor-Cmd -run=pythonscript jobs, Epic's Unreal MCP server, the Remote Control API, console commands and cvars; when a script breaks on 5.8 (EditorLevelLibrary, Remote Control calls refused, Substrate materials black, MRQ presets); when a level, material, shot or build must be judged by numbers and a screenshot before it is called done; or when a brief must go to the right scenario-unreal-* specialist.
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。
Generate intense fight scene and action sequence video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants fight scenes, combat, martial arts, battles, action choreography, sword fights, hand-to-hand combat, chase scenes, superhero action, or any high-energy action video. Triggers on: fight, combat, battle, martial arts, action scene, choreography, duel, sword fight, kung fu, chase, brawl, punch, kick, weapon combat, superhero fight, or any action/fight request. Use even for "make an intense action video" or "epic battle.
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。
Generate cinematic film-style video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants cinematic, film-like, movie-quality, Hollywood-style, dramatic, or professional film-quality AI video. Triggers on: cinematic, film look, movie scene, dramatic lighting, depth of field, lens flare, anamorphic, letterbox, noir, epic, Steadicam, dolly, crane shot, or any cinematic video generation request. Always use this skill even if the user doesn't explicitly say "cinematic" but describes a film-like aesthetic.
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。
Agile product ownership for backlog management and sprint execution. Use for writing user stories and acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing a backlog.
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。
This package provides a collection of functions designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model. Users are given the option to create or extend a reference atlas and,also simulate the desired size of the bulk signature profile of the reference cell types.The package includes the cell-type-specific methylation atlas and, Illumina Epic B5 probe ids that can be used in deconvolution. Additionally,we included BS
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 test coverage health, gaps, and QE debt for Jira stories or epics. Produces coverage_analysis_report.md with AC-to-TC heatmap, risk scores, and prioritized action plan. Use when assessing coverage percentage, pre-release readiness, sprint readiness, or identifying missing test cases. Do NOT use for TC creation — use zephyr-test-generation instead.
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。
User story generation - INVEST criteria, acceptance criteria (BDD/Given-When-Then), story mapping, epic decomposition, edge case stories, NFR stories
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。
Implement SAFe methodology in Jira. Use when creating Epics, Features, Stories with proper hierarchy, acceptance criteria, and parent-child linking.
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。
Read, write, and edit ChemDraw CDX/CDXML files with RDKit's rdkit.Chem.rdChemDraw plus direct XML editing, always paired with a rendered PNG. Parse molecules and reactions from .cdxml/.cdx, write structures with good 2D depiction, and hand-build or modify the parts RDKit cannot write: reaction arrows, plus signs, schemes/steps, and text/labels. Use for reaction schemes, synthesis routes, mechanisms, retrosynthesis, or SI figures. Critical: RDKit writes structures only — round-tripping a reaction through a Mol silently drops arrows and text; this skill shows the XML layer that preserves them. For pure molecular analysis (descriptors, fingerprints, SMARTS) use rdkit-cheminformatics; for multi-format 3D conversion use openbabel.
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, derive, optimize, explain, and diagnose cinematic Eastern xianxia camera direction, storyboards, motion choreography, pacing, continuity locks, keyframes, and per-shot image-to-video prompts. Use for 仙侠运镜、镜头语言、分镜、推拉摇移、跟拍、环绕、航拍、打斗追逐、情绪镜头、首尾帧、视频提示词、参考视频诊断, when users ask “怎么运镜/不会运镜/给案例/帮我改运镜”, or when an input contains invalid, contradictory, physically implausible, non-camera, or off-topic instructions that need actionable feedback. Support 16:9, 21:9, 4:3, 3:2, 4:5, and 9:16; default to 30 seconds, 16:9, six shots, narrative-adaptive pacing, epic scale, and selective high saturation when unspecified.
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。