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概要と使いどころ
GitLab CI migration to GitHub Actions — syntax mappings and the migration report template for Pipelines, includes, Pages, environments, rules/only/except, parallel jobs, GitLab-specific variables. Load with `migration-core` when migrating GitLab CI sources to GitHub Actions.
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。
Drone CI migration to GitHub Actions — syntax mappings and the migration report template for Pipelines, plugins, services, secrets, triggers, multi-platform pipelines. Load with `migration-core` when migrating Drone CI sources to GitHub Actions.
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。
Bitbucket Pipelines migration to GitHub Actions — syntax mappings and the migration report template for Pipelines, Pipes, parallel steps, branch/pull-request workflows, deployments, variables. Load with `migration-core` when migrating Bitbucket Pipelines sources to GitHub Actions.
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。
Azure DevOps migration to GitHub Actions — syntax mappings and the migration report template for YAML pipelines, templates, variable groups, service connections, deployment jobs, stages, conditional logic. Load with `migration-core` when migrating Azure DevOps sources to GitHub Actions.
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。
Bamboo migration to GitHub Actions — syntax mappings and the migration report template for Build plans, deployment projects, tasks, requirements, variables, plan branches. Load with `migration-core` when migrating Bamboo sources to GitHub Actions.
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。
Quantify cyber risk using FAIR methodology with Monte Carlo simulation, assess control effectiveness against NIST CSF/CIS/ISO 27001 frameworks, evaluate risk appetite alignment, and analyze cyber insurance coverage adequacy. Covers threat landscape mapping, asset valuation, loss event frequency and magnitude estimation, annualized loss expectancy calculation, control gap analysis with ROI ranking, residual risk assessment, and insurance policy gap modeling at 90th/95th/99th percentile loss scenarios. Use when building risk registers, preparing board-level risk dashboards, evaluating security investment priorities, assessing cyber insurance coverage, or auditing any organization's risk quantification maturity per NIST RMF, ISO 27005, or FAIR 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。
Topic cluster and keyword-to-page mapping — group keywords by search intent (validated by SERP overlap, not word similarity), map each cluster to an existing or proposed page, flag cannibalization, and lay out pillar, supporting posts, and internal links. Use when asked to "build a content cluster", "map our SEO cluster for [topic]", "which page should target these keywords", "create a topic cluster", or "what should our pillar page be about".
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。
Jobs-to-Be-Done analysis — given a product, user descriptions, transcripts, or tickets, produce a JTBD job map with switching forces analysis and opportunity ranking. Use when asked to "find the JTBD", "what jobs are users hiring us for", "job mapping", "what are users really trying to do", "JTBD framework", or "why are users switching".
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 detection rules for a threat — SIEM queries, alert logic, and MITRE ATT&CK mapping. Use when asked to "write a detection rule", "how do we detect this attack", or "build a SIEM query for this TTP".
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 hardening playbook for a system or service — CIS benchmark mapping and implementation steps. Use when asked to "harden this server", "apply the CIS benchmark", or "write a hardening playbook".
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 guide for converting UI screenshots, mockups, Figma frames, and whiteboard sketches into production-ready frontend code using vision-capable frontier models (Gemini 4 Pro, Claude 5.5, GPT Astra 6) — multi-pass visual extraction, component decomposition, responsive generation, and design token mapping / Panduan ahli konversi screenshot UI, mockup, frame Figma, dan sketsa whiteboard menjadi kode frontend siap produksi menggunakan model frontier berkemampuan vision — ekstraksi visual multi-pass, dekomposisi komponen, generasi responsif, dan pemetaan design token.
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 guide for in-memory Abstract Syntax Tree (AST) code knowledge graphs, real-time symbol dependency mapping, refactoring blast radius calculation, and dead code eradication / Panduan ahli graf pengetahuan AST kode in-memory, pemetaan dependensi simbol real-time, kalkulasi radius dampak refaktor, dan pembersihan kode mati.
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。
Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.
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 AI coding CLI accounts with sub-100ms switching. Use when hitting rate limits on Claude Max, GPT Pro, or Gemini Ultra subscriptions and need instant account swapping without browser OAuth.
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。
Provides compliance, governance, and supply chain security guidance for cloud-native systems. Covers OPA Rego policies, Kyverno cluster policies, SBOM generation, SLSA provenance, audit trail design, and regulatory framework mapping. Use when user mentions 'compliance', 'governance', 'OPA', 'kyverno', 'SBOM', 'SLSA', 'audit', 'policy-as-code', 'SOC2', 'HIPAA', 'PCI-DSS', 'artifact signing'.
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。
Practical argument analysis and construction -- how to identify, evaluate, reconstruct, and build real arguments in natural language. Covers argument identification (premises, conclusions, intermediate steps), charity and steel-manning, argument mapping, the distinction between deductive validity and inductive strength, burden of proof, and the rhetorical context in which arguments operate. Use when the goal is to engage with real-world argument rather than to formalize it.
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。
Reading a habitat — identifying biome, plant community, food web structure, successional stage, and the keystone species that hold the system together. Covers the elevational and latitudinal gradients that Humboldt first mapped, the structural vocabulary for describing a habitat, the core concepts of food-web and trophic analysis, and the practice of diagnosing habitat health from indicator species. Use when the task is to understand a place rather than a species.
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。
Designing the household as an operating system. Covers room-function mapping, work-triangle analysis, storage topology, utility flow, and the Richards/Beecher lineage that treats the home as an engineered environment rather than a stage set. Use when planning a new kitchen, reorganizing a room, diagnosing friction in a daily routine, or teaching a learner to see the house as a system with inputs, flows, and outputs.
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。
Map design, spatial analysis, and Geographic Information Systems. Covers map projections and their distortion trade-offs, coordinate systems, thematic mapping techniques (choropleth, proportional symbol, dot density, isoline), remote sensing and satellite imagery, GIS data models (vector and raster), spatial analysis operations (overlay, buffer, interpolation, network analysis), and cartographic design principles. Use when creating maps, analyzing spatial data, selecting projections, interpreting satellite imagery, or reasoning about spatial relationships in any domain.
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 observation, data collection, and research methods for geographic inquiry. Covers site selection and sampling strategies, field observation techniques (landscape reading, transects, quadrats), survey and interview methods for human geography, GPS and field mapping, environmental monitoring and instrumentation, data recording and field notebooks, ethical considerations in fieldwork, and the integration of field data with GIS analysis. Use when planning geographic field research, designing data collection protocols, evaluating field evidence, or connecting field observations to broader geographic analysis.
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。
Systematic evaluation of arguments for structure, validity, soundness, and charitable interpretation. Covers premise identification, conclusion extraction, argument mapping, steel-manning, and the distinction between validity (form) and soundness (form plus true premises). Use when assessing an argument, reconstructing an opponent's position fairly, or preparing a rebuttal.
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。
Operations management and lean production techniques for turning inputs into outputs under variability. Covers the Toyota Production System, seven wastes, just-in-time, kanban, jidoka, single-minute die exchange, 5 Whys, value stream mapping, bottleneck theory, and the distinction between mass production and flexible production. Use when diagnosing operational waste, designing production flows, setting up quality systems, or comparing batch-and-queue to one-piece flow.
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。
Observational drawing and visual perception techniques for art education. Covers contour drawing, gesture drawing, negative space, proportion and measurement, value mapping, spatial depth cues, and the cognitive shift from symbolic to perceptual seeing. Use when teaching drawing fundamentals, analyzing observational accuracy, or developing visual literacy in any medium.
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。
Kolla-Ansible deployment engine skill for containerized OpenStack lifecycle management. Use when bootstrapping, deploying, reconfiguring, or upgrading OpenStack environments. Covers globals.yml configuration, inventory management, container operations, rolling upgrades, password management, and troubleshooting deployment failures across all service containers. This is the meta-skill that manages the deployment lifecycle for all OpenStack 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。