1.1万 件 ・ 関連度順
Run a structured incident response. Use when the user says "we have an incident", "production is down", "service is degraded", "on-call response", "p0 incident", "something is broken in prod", "help me manage this incident", "incident commander", or there is an active production issue requiring coordinated response - even if they don't explicitly say "incident response".
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。
De-escalate a customer crisis using a structured acknowledge-triage-DRI-cadence-resolution framework. Use when user says "customer escalation", "angry customer", "exec escalation", "customer threatening to leave", "fire drill", "critical customer issue", "customer is livid", "customer complaint escalated", or "how do I handle this" about a tense situation - even if they don't say "escalation" explicitly. Applies to CSMs and CS managers managing high-stakes customer crises.
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 a structured client status report for a consulting engagement. Use when a consultant says "write my weekly status update", "I need to send a status report", "draft the client update", "what should be in the weekly report", "client wants a progress update", "help me write the RAG status", "I need to report on blockers", "end of week update to the client", or "help me communicate what's stuck". Also trigger when someone needs to communicate engagement progress, surface blockers to the client, or flag decisions that need to be made by the sponsor.
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 a machine learning model in a structured, transparent format for stakeholders, reviewers, and future maintainers. Use when the user says "document this model", "write a model card", "model documentation", "how should I document my ML model", "bias and fairness report", "model transparency", "what does this model do", "model handoff", "production model documentation", or needs to communicate what a model does, how it was built, where it works, and where it fails.
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 exploratory data analysis on a dataset and produce a structured report. Use when the user says "explore this dataset", "EDA on X", "analyze this data", "what's in this dataset", "summarize this data", "first look at the data", "understand this dataset before modeling", "data quality check", "describe this dataframe", or wants to understand a new dataset before building models or dashboards.
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。
Communicate data insights to non-technical stakeholders in a structured, persuasive format. Use when the user says "present these findings", "explain this analysis to leadership", "make a data presentation", "tell the story behind the data", "translate this into a business narrative", "make this insight actionable", "stakeholder readout", "executive summary of results", or needs to turn analysis output into a decision-ready document or slide deck.
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。
Identify expansion signals and structure upsell or cross-sell conversations using land-and-expand and Net Revenue Retention principles. Use when user says "upsell", "expansion", "cross-sell", "grow the account", "increase ARR", "find expansion opportunities", "NRR improvement", "upgrade conversation", "add-on", "renewal and expand", or "land and expand" - even if they don't say "expansion discovery" explicitly. Applies to CSMs managing account growth or CS teams building expansion playbooks.
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 a consulting engagement proposal. Use when a consultant says "write me a proposal", "draft a proposal for [your client]", "I need to send a proposal", "how do I structure a proposal", "client wants a SOW", "write a statement of work", "I need to propose a project", or "help me price and scope this engagement". Also trigger when someone describes a client conversation that ended with "send me something in writing".
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 an executive summary using the Pyramid Principle SCQA structure. Use when a consultant says "write an executive summary", "I need a one-pager for the exec", "how do I open this report", "write me the intro for this deck", "draft the cover memo", "I need to frame the findings", "executive doesn't have time to read the full report", "help me write the storyline", or "write the situation-complication-answer". Also trigger when someone has findings or recommendations and needs to communicate them top-down to a time-constrained audience.
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 structured use cases with main and alternate flows. Use when the user says "write a use case", "document the user flow", "use case diagram", "actor goal list", "main success scenario", "fully dressed use case", "what does the user do step by step", "system behavior for this feature", "interaction flow" - even if they don't explicitly say "use case".
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 a 100-day customer onboarding plan with phase gates based on Never Lose a Customer Again by Joey Coleman. Use when user says "onboarding plan", "new customer onboarding", "customer kickoff", "first 90 days", "activation plan", "customer launch plan", "new customer journey", or "implementation plan" - even if they don't say "100 days" explicitly. Applies to CSMs designing structured onboarding programs that move customers from signed contract to full adoption.
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 a structured Quarterly Business Review deck for a customer account. Use when user says "QBR", "quarterly business review", "prep my QBR", "build the deck", "renewal prep", "executive check-in", "90-day review", or "customer business review" - even if they don't use the acronym. Applies to CSMs preparing for executive-level customer meetings focused on value delivered, health, and next quarter alignment.
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。
Facilitate structured requirements gathering. Use when the user says "gather requirements", "elicitation session", "stakeholder interview", "requirements workshop", "what do the users need", "discover requirements", "trawl for requirements", "understand the business need", "conduct interviews", or needs to systematically extract requirements from stakeholders - even if they don't explicitly say "elicitation".
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。
Find and work with ENCODE single-cell genomics data including scRNA-seq and scATAC-seq. Use when the user asks about single-cell experiments, cell type resolution, clustering from ENCODE data, deconvolution of bulk signals using single-cell references, or comparing single-cell vs bulk profiles. Covers platform differences (10X Chromium, Smart-seq2, Drop-seq), quality limitations of single-cell data, multimodal integration (RNA+ATAC), and cross-study reproducibility concerns. Also use for cell type annotation, gene detection limits, dropout artifacts, and single-cell data structure in ENCODE.
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。
Install bioinformatics tools for ENCODE data analysis. Covers CLI tools (BWA, STAR, samtools, MACS2), R/Bioconductor packages (DESeq2, Seurat, ChIPseeker), Python packages (Scanpy, deeptools), and Nextflow pipeline infrastructure. Generates conda environments, R install scripts, and Python requirements. Use when the user needs to set up a bioinformatics workstation, install tools for a specific assay, create reproducible environments, or troubleshoot dependency issues. Trigger on: install tools, set up environment, conda create, bioinformatics setup, install R packages, install Bioconductor, install pipeline tools.
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。
Integrate multiple ENCODE data types (RNA-seq, ATAC-seq, Histone ChIP-seq, TF ChIP-seq) for a tissue/cell type to build a comprehensive regulatory landscape. Use when the user wants to answer "what are the enhancers, promoters, and regulatory elements active in my tissue, and which transcription factors control them?" by layering expression, chromatin accessibility, histone marks, and TF binding data. Follows the Mawla et al. 2023 framework for cross-assay integration of islet cell type-specific data. Handles chromatin state annotation (ChromHMM), enhancer-gene linkage, TF motif enrichment, and cell type-specific regulatory element identification. Use for ANY multi-omic analysis, enhancer discovery, regulatory network construction, or epigenomic characterization using ENCODE 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。
Build comprehensive epigenomic profiles for tissues or cell types using ENCODE data. Use when the user wants to characterize chromatin states, assemble histone modification panels, create epigenomic landscapes, run ChromHMM segmentation, identify super-enhancers or bivalent domains, profile regulatory elements across a biosample, or understand epigenetic regulation in a specific biological context. Covers histone marks, chromatin accessibility, TF binding, transcription, DNA methylation, and 3D genome structure.
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 guidance for Domain-Driven Design architecture and implementation. Use when designing complex business systems, defining bounded contexts, structuring domain models, choosing between modular monolith vs microservices, implementing aggregates/entities/value objects, or when users mention "DDD", "domain-driven design", "bounded context", "aggregate", "domain model", "ubiquitous language", "event storming", "context mapping", "domain events", "anemic domain model", strategic design, tactical patterns, or domain modeling. Helps make architectural decisions, identify subdomains, design aggregates, and avoid common DDD pitfalls.
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 system architecture, module structure, API contracts, data models, and code patterns. Use when designing systems, reviewing module boundaries, evaluating API designs, analyzing data models, checking pattern conformance, tracing decisions, or reviewing frontend architecture. Triggers: "architecture", "module design", "API design", "data model", "boundaries", "patterns", "decisions", "frontend architecture".
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。
Spring Modulith 2.0 implementation for bounded contexts in Spring Boot 4. Use when structuring application modules, implementing @ApplicationModuleListener for event-driven communication, testing with Scenario API, enforcing module boundaries, externalizing events to Kafka/AMQP, building a modular monolith, defining module dependencies, managing inter-module events, or organizing DDD modules as packages. Covers package-based module boundaries, named interfaces, event publication, and Scenario API testing. For architecture decisions, see domain-driven-design 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。
Install Tilt and scaffold or audit Tiltfile + tilt/ configurations with ecosystem-aware templates. Auto-detects Java/Gradle (Spring Boot), Next.js, Python/uv, and external infrastructure; recommends single-file or modular tilt/*.star + service-config.yaml + environments.yaml patterns based on project complexity. Bakes in production-context safety guards, PVC persistence toggles, JDWP debug ports, and optional Prometheus/Grafana/Traefik scaffolds. Use when user runs /devtools:tilt-setup, mentions "tilt setup", "setup tilt", "scaffold tiltfile", "audit tiltfile", "tilt configure", "tilt project setup", "Tiltfile", "local kubernetes dev", or "kubernetes development environment".
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。
Validate skills against Anthropic best practices for frontmatter, structure, content, file organization, hooks, MCP, and security (62 rules in 8 categories). Use when creating new skills, updating existing skills, before publishing skills, reviewing skill quality, or when user mentions "validate skill", "check skill", "skill best practices", "skill review", or "lint 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。
Converts natural-language descriptions or UI spec files into optimized Google Stitch prompts. Use when creating, refining, or validating design directives for Google Stitch. Use when user says "create a Stitch prompt", "optimize this for Stitch", "convert this spec to a Stitch prompt", "write a UI prompt", or mentions Google Stitch prompt authoring. Follows Stitch best practices with short, directive prompts focused on screens, structure, and visual hierarchy.
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。