4,095 件 ・ 関連度順
概要と使いどころ
Use when a task needs the judgment of a Compensation and Benefits Manager — designing or evaluating a pay structure/leveling system, benchmarking compensation against market, deciding on a benefits package tradeoff, or auditing for pay equity issues. Narrower and more specialized than the broader hr-people-manager role's compensation-adjacent heuristics.
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Use when a task needs the judgment of a Brownfield Redevelopment Specialist and Site Manager — confirming landowner liability protections (BFPP/AAI) before a contaminated-site acquisition closes, matching a cleanup standard to the actual reuse plan instead of defaulting to the most conservative one, sequencing a brownfield funding stack (EPA grants, state VCP, tax credits) by eligibility dependency, or deciding whether an institutional control/deed restriction needs disclosure to a lender or buyer.
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 Automotive Engineer — computing weight transfer and tire friction-circle limits for a braking-while-cornering maneuver to set brake-force distribution, sizing a powertrain and gear ratio against a 0-60 mph acceleration target while checking traction versus power limits, sizing a crumple zone's crush distance against FMVSS 208 occupant-deceleration limits, or checking a powertrain-mount or driveline natural frequency against engine firing-order excitation for NVH isolation. Distinct from an automotive-service-technician (diagnoses and repairs a vehicle already designed) — this role owns the system-level design decisions (structure, powertrain sizing, suspension geometry, restraint/crash structure, NVH) that produce the vehicle the technician later services.
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 a barista — dialing in a new bag of espresso, diagnosing a sour or bitter shot, steaming milk to a target texture and temperature, managing a rush-hour drink queue, or deciding when a grind adjustment (versus a distribution or equipment problem) is the actual fix.
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 a Brewmaster — setting or correcting mash pH before conversion, calibrating yeast pitch rates from wort gravity, deciding whether a diacetyl (VDK) reading clears a batch for cold crash or requires a diacetyl rest, investigating a contamination or off-flavor signal and scoping a recall, or specifying dissolved-oxygen and pasteurization controls to hit a TTB-compliant ABV label.
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 a licensed acupuncturist — building a TCM pattern-differentiation-based treatment plan, choosing point combinations and needling technique for a presenting complaint, triaging a safety red flag (fainting, suspected pneumothorax, herb-drug interaction), or writing a SOAP note that justifies medical necessity for insurance. US scope-of-practice default (NCCAOM/state licensure). A reasoning aid, not medical advice.
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 Amusement and Recreation Attendant — running ride dispatch and restraint checks, calling a weather or mechanical hold, managing queue throughput and wait-time complaints, operating a game booth or coin-operated attraction, or handling an on-ride evacuation.
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.
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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。
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。
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。
Scaffolds Pulumi TypeScript infrastructure-as-code projects, writes IaC code with proper resource configuration, manages Pulumi ESC environments for centralized secrets and configuration, configures OIDC authentication for cloud providers, and builds multi-language component resources. Use when the user asks to create Pulumi TypeScript projects, write Pulumi infrastructure code, set up ESC environments, configure OIDC for Pulumi, implement infrastructure automation with Node.js/TypeScript, create reusable Pulumi components, or work with stack references. Also use when the user mentions Pulumi with TypeScript, AWS/Azure/GCP infrastructure in TypeScript, or PulumiPlugin.yaml for multi-language components.
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。
Creates Pulumi infrastructure-as-code projects in Go, configures OIDC authentication, integrates with Pulumi ESC for centralized secrets and configuration management, and builds multi-language component resources. Use when setting up Pulumi Go projects, writing infrastructure code with Go, configuring OIDC for Pulumi, using Pulumi ESC with Go, automating cloud infrastructure with Golang, creating reusable Pulumi components in Go, or working with pulumi-go-provider. Also use when the user mentions Pulumi with Go/Golang, AWS/Azure/GCP infrastructure in Go, or Go-based ComponentResource patterns.
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。
Creates Pulumi infrastructure-as-code projects in Python, defines cloud resources (AWS, Azure, GCP), configures ESC environments for secrets management, sets up OIDC authentication for secure deployments, and builds multi-language component resources. Use when creating Pulumi Python projects, writing infrastructure code, configuring cloud providers, managing secrets with Pulumi ESC, setting up OIDC for Pulumi, automating infrastructure deployments with Python, creating reusable Pulumi components in Python, or configuring Python toolchains (pip, poetry, uv) for Pulumi. Also use when the user mentions pyproject.toml with Pulumi, component_provider_host, or Python virtual environments for infrastructure code.
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。
Guide for authoring Pulumi ComponentResource classes. Use when creating reusable infrastructure components, designing component interfaces, setting up multi-language support, or distributing component packages.
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。
Search DigiKey by keyword or part number, check stock and price breaks, retrieve component specifications, and download or synchronize datasheets for an electronics project. Use when the user explicitly wants DigiKey data, a DigiKey prototype-order comparison, or direct datasheet synchronization. For distributor-neutral sourcing, multi-vendor price comparison, or order-file generation, use the bom skill 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。
Deep learning framework development with tinygrad - a minimal tensor library with autograd, JIT compilation, and multi-device support. Use when writing neural networks, training models, implementing tensor operations, working with UOps/PatternMatcher for graph transformations, or contributing to tinygrad internals. Triggers on tinygrad imports, Tensor operations, nn modules, optimizer usage, schedule/codegen work, or device backends.
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。
Set up application observability with Prometheus, Grafana, Datadog, or CloudWatch — instrument metrics endpoints, configure Golden Signal dashboards, define alert rules with burn-rate SLOs, and add structured logging
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Workflow orchestrator. Decomposes a task into ordered steps, finds or installs the right skill for each step, runs the chain, and offers to save it as a reusable skill.
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Audit pharmaceutical yield prediction systems and process analytical technology -- evaluate critical process parameter (CPP) to critical quality attribute (CQA) relationships, design space characterization per ICH Q8(R2) Quality by Design, PAT sensor readiness (NIR, Raman.
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 a pharmaceutical regulatory submission system -- evaluate eCTD backbone assembly and XML validation, CTD module completeness (Modules 1-5), FDA ESG and EMA CESP gateway integration, document authoring and publishing workflows, ICH M4/M8/E3 guideline 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。
Audit pharmaceutical regulatory compliance -- inspection readiness, CAPA system effectiveness, change control pipeline, data integrity (ALCOA+), and validation lifecycle 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。
Audit pharmaceutical QC laboratory operations -- OOS/OOT investigations, stability program trending, analytical method validation status, release testing optimization, and specification 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。