286 件 ・ 関連度順
概要と使いどころ
Condense long reports, documents, or data exports into structured summaries with key findings, implications, and recommended actions. Use when the work is distilling dense content for busy readers. Do not use for original analysis, strategy formulation, or when the source material needs expert interpretation beyond summarization.
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。
Standardize incoming legal or commercial contract requests into request type, missing information, priority, and review queue. Use when the work is intake routing and request cleanup. Do not use for clause interpretation, negotiation strategy, or legal advice on the agreement itself.
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 email, Slack, ticket, or shared request backlogs into priority buckets, owners, and next actions. Use when the work is repetitive queue handling, intake cleanup, or response sorting. Do not use for strategic decisions, policy interpretation, or substantive contract review.
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Turn launch dates, campaign inputs, and asset requests into a structured content calendar and workback plan. Use when the work is recurring marketing coordination and schedule packaging. Do not use for brand strategy, positioning design, or deep performance interpretation.
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。
Turn business data, KPI movement, or experiment results into a clear narrative using the what-so what-now what structure, audience calibration, and action-oriented insight. Use when leaders need a data-backed brief, dashboard storyline, or metric interpretation. Do not use for raw statistical modeling with no communication deliverable.
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。
Organize month-end or quarter-end close blockers, reconciliations, owners, and evidence gaps into a routine control pack. Use when the work is finance close coordination and issue tracking. Do not use for accounting judgment, policy interpretation, or final technical accounting conclusions.
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。
Supreme policy layer governing all agent behavior. Autonomy, one-line prompt interpretation, speed standards, emphasis signal processing, cross-skill coordination, done definitions, conflict resolution. Loaded every prompt.
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 thermal-fluid engineering systems, experiments, CFD, and correlations with explicit assumptions, validity limits, uncertainty, and mechanism-based interpretation. Use for heat transfer, fluid mechanics, phase change, HVAC, energy systems, turbomachinery, piping, or thermal management.
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 Electrician — sizing a service panel upgrade with an NEC load calculation, troubleshooting a tripping breaker or dead circuit systematically, checking wire gauge/ampacity and voltage drop for a circuit run, resolving a code-vs-inspector interpretation dispute, or deciding when a job (aluminum wiring, knob-and-tube, undersized service) exceeds the immediate scope.
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。
Conduct rigorous cross-study meta-analysis of scRNA-seq data from ENCODE, integrating multiple single-cell transcriptomic datasets for a tissue/cell type. Use when the user wants to answer "what cell types exist in my tissue and what genes define them?" by combining scRNA-seq data across donors, labs, and platforms. Follows the Mawla et al. 2019 framework for assessing cross-study reproducibility, TIN-based quality filtering, and detection-limit-aware interpretation. Handles batch correction (Harmony/Seurat), dropout awareness, cross-contamination artifacts, and platform-specific biases. Use this skill for ANY scRNA-seq integration task, cross-dataset comparison, cell atlas construction, or reproducibility assessment involving ENCODE single-cell 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。
Use ENCODE functional genomics data for disease mechanism research. Use when the user wants to connect GWAS variants to regulatory elements, annotate disease-associated loci with functional data, identify therapeutic targets from epigenomic data, build disease regulatory models, cross-reference with clinical trials and drug databases, or conduct any disease-focused, pathology-driven, or clinical variant interpretation workflow. Covers the full pipeline from disease-tissue mapping through GWAS variant annotation, heritability enrichment, cancer epigenomics, drug target identification, and clinical trial cross-referencing. Integrates ENCODE with Open Targets, PubMed, ClinicalTrials.gov, and bioRxiv.
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。
Annotate genetic variants (GWAS hits, eQTLs, rare variants) with ENCODE functional data to interpret non-coding variation. Use when the user has variants of interest and wants to understand their regulatory context, identify causal variants from GWAS loci, assess variant impact on regulatory elements, perform enrichment testing of variant sets in tissue-specific annotations, or link variants to target genes through enhancer-gene maps. Handles the full post-GWAS workflow from variant set → tissue mapping → functional annotation → fine-mapping awareness → enrichment → variant-to-gene → prioritization. Use this skill for ANY variant interpretation task involving ENCODE chromatin, accessibility, TF binding, or 3D genome 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。
Copy-number variant analysis — detection from sequencing/arrays, segmentation, and clinical interpretation.
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。
Scholar of biblical interpretation covering Hebrew Bible and New Testament with historical-critical and literary methods
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。
I Ching (易經) expert covering hexagram interpretation, traditional wisdom, and consultation methods
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。
Numerology expert covering life path numbers, name numbers, and Pythagorean to Chaldean systems
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。
Palm reading expert covering line interpretations, hand shapes, mounts, and traditional chiromancy practices
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。
Comprehensive astrology expert covering natal charts, transits, houses, aspects, and astrological traditions from Western to Vedic
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。
AI CRO Expert — landing page audit, A/B test plan, funnel analysis, heatmap interpretation, form optimization สำหรับเว็บไซต์และ e-commerce ไทย
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。
Abductive reasoning about causes. Takes a phenomenon, separates observations from interpretations, then spawns diagnosticians applying different reasoning lenses (technical, human-factors, process, incentive-structure, environmental, temporal, measurement-artifact, statistical) in isolation. Orchestrator evaluates candidate causes for fit-against-evidence, calibrates confidence honestly, and reports leading candidate(s) with distinguishing evidence needed. Produces feedback only — no code, no tickets, no artifacts.
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。
Pedagogical patterns for enriching notebooks (GameTheory model). Use when adding interpretations, structuring notebooks, or creating educational content in Jupyter notebooks.
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。
Preventive hygiene audit of your own Claude Code configuration — memory files, project context (CLAUDE.md), rules, permissions, skills — a deterministic scan of sizes / broken links / stale entries / excessive permissions / junk + interpretation + targeted fixes by agreement. Keeps the setup from rotting before it breaks. Triggers — "check the system", "system health", "workflow hygiene", "what to clean up", "audit memory", "optimize the system".
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。
塔罗牌占星：把「抽三张塔罗牌」与「西方占星本命盘」合为一次解读。 用户带着一个具体问题来 → 抽三张牌（可复现的 seed）→ 若愿意提供生日，则用脚本 确定性地排出星座与星盘 → 用黄金黎明的塔罗↔占星对应把两者接起来（牌落在黄道哪一旬， 你的哪颗行星正站在那里）→ 给出一张交叉对照表、对所问之事的审慎取向与可执行建议。 塔罗层：牌阵位置语义、牌与牌的组合叙事、元素尊贵、正逆位、直觉对话、治疗性解读。 占星层：本命盘、相位与宫位、必然尊贵、行运盘推运、比较盘/组合盘（合盘）、太阳弧推运。 当用户说：塔罗、塔罗牌、抽牌、抽三张牌、占卜、算一卦（西洋）、牌阵、正逆位、 星盘、本命盘、星座、上升星座、月亮星座、占星、行运、流年、合盘、比较盘、 太阳弧、推运、我该不该……、这段关系会怎样、我适不适合换工作 时使用。 English triggers: "tarot", "tarot reading", "draw three cards", "what do the cards say", "spread", "reversed card", "natal chart", "birth chart", "astrology", "rising sign", "transits", "synastry", "composite chart", "solar arc", "progressions", "should I take this job", "what does my chart say". 内置离线脚本：抽牌洗牌（可复现 seed）、本命盘（行星/四轴/宫位/相位/元素统计）、 必然尊贵、牌↔盘共鸣、元素数字统计、行运盘、比较盘+组合盘、太阳弧+次限推运。 边界：要**周公解梦**请用 `zhougong-dream-interpretation`；要**四柱八字**请用 `bazi`； 要**中式黄历择日/测吉凶**请用 `zhanshi-jixiong`。本技能只做西洋塔罗与西洋占星。 即使用户只是随口说「帮我抽张牌看看」「我最近水逆吗」，也应主动使用本技能。
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。
占事吉凶 · 测吉凶：针对**某一件具体事、某一天、某一刻**的吉凶研判与择吉建议。 运用「黄历择日 + 四柱命理本命喜忌 + 阴阳五行天时地利 + 天人感应/梅花心易」四层独立推演， 再交叉汇聚成【吉 / 平·宜谨慎 / 凶·宜改期】的整体倾向与可执行建议。 当用户问：测吉凶、占吉凶、这事能不能做、今天适不适合出门/旅行/搬家/开业/签约/求医、 出行吉凶、看日子、择日、挑个好日子、黄历、老黄历、今天宜不宜、宜忌、冲煞、起一卦、 算算这件事顺不顺、"临出发前忽然心悸/心慌，是不是预兆"、"我有种不好的预感" 时使用。 English triggers: "is today auspicious", "is it a good day to travel/move/sign", "should I go today", "pick an auspicious day", "Chinese almanac / huangli", "divination for a decision", "I have a bad feeling about going out today". 内置离线脚本：公历→农历+完整四柱+十神（bazi.py）、黄历宜忌/建除/值神/廿八宿/彭祖百忌/ 冲煞/吉神凶煞/逐时辰吉凶+梅花时间起卦（almanac.py）、经纬度定位+当天当地天气（geoweather.py）。 边界：要**批一生八字/大运流年**请用 `bazi` 技能；要**解梦**请用 `zhougong-dream-interpretation`。 即使用户只是随口问「今天出门好不好」「这事顺不顺」，也应主动使用本技能。
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。