2,062 件 ・ 関連度順
概要と使いどころ
Provides chaos engineering best practices for resilience testing, fault injection, and game day planning. Use when designing resilience experiments, configuring chaos tools, planning game days, or when user mentions 'chaos engineering', 'resilience', 'litmus', 'game day', 'fault injection', 'chaos monkey', 'blast radius', 'steady state', 'failure mode'.
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 GitOps best practices for ArgoCD, Flux, Argo Rollouts, and progressive delivery strategies. Use when setting up GitOps workflows, configuring continuous delivery, managing Kubernetes deployments declaratively, or when user mentions 'gitops', 'argocd', 'flux', 'progressive delivery', 'reconciliation', 'argo rollouts', 'canary', 'sealed secrets'.
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 Infrastructure as Code best practices for Terraform, Pulumi, CloudFormation, and OpenTofu. Use when provisioning infrastructure, writing IaC modules, managing cloud resources, scanning for misconfigurations, or when user mentions 'terraform', 'pulumi', 'cloudformation', 'IaC', 'opentofu', 'infrastructure', 'tfsec', 'checkov', 'drift'.
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 CI/CD pipeline best practices for GitHub Actions, deployment strategies, and pipeline optimization. Use when setting up pipelines, configuring GitHub Actions, managing deployments, or when user mentions 'CI', 'CD', 'pipeline', 'GitHub Actions', 'deploy', 'workflow', 'build'.
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 best practices for AI agent orchestration including MCP servers, A2A protocol, multi-agent coordination, and swarm architectures. Use when designing agent systems, configuring MCP servers, setting up agent teams, or when user mentions 'MCP', 'A2A', 'agent orchestration', 'multi-agent', 'swarm', 'agent team', 'LangGraph', 'CrewAI', 'AutoGen'.
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。
LaTeX document authoring with arXiv submission best practices, Overleaf patterns, and academic publishing conventions.
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。
Producing digital media -- writing, images, video, audio, presentations, and multimedia -- with an understanding of craft, audience, accessibility, and ethics. Covers composition principles, copyright-safe sourcing, accessibility features (alt text, captions, contrast), remix culture, attribution practices, and the difference between creating for yourself, for a small audience, and for the open web. Use when helping a learner move from media consumer to media producer.
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。
Technical writing, engineering specifications, reports, presentations, and documentation standards for engineering practice. Covers document types (requirements documents, test reports, design rationale, operations manuals), writing style, data visualization, engineering drawing standards, and oral presentation techniques. Use when writing engineering documents, presenting technical results, creating specifications, or learning documentation best 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。
Reliability engineering for cloud systems — SLIs, SLOs, error budgets, SRE practices, runbooks, incident response, on-call rotation, blameless postmortems, chaos engineering, and the NASA Systems Engineering methodology (MCR/SRR/PDR/CDR/ORR phase gates, TAID verification, requirements tracing) adapted to cloud operations. Use when establishing SLOs for a new service, running an incident, writing a runbook, preparing a launch readiness review, or bringing NASA SE discipline to cloud deployments.
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。
Conflict resolution strategies and mediation techniques for interpersonal and group communication. Covers conflict styles (Thomas-Kilmann model), interest-based negotiation (Fisher and Ury), de-escalation techniques, mediation process, restorative practices, workplace conflict, and cross-cultural conflict norms. Use when mediating disputes, analyzing conflict dynamics, preparing for difficult conversations, or building conflict-competent communication cultures.
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。
TypeScript best practices and patterns. Use when writing TypeScript, fixing type errors, or working with generics.
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。
Reviews code for bugs, style, and best practices. Use when reviewing PRs or checking code quality.
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。
REST API design best practices. Use when designing APIs, choosing status codes, or creating endpoints.
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。
Apply best practices for Jupyter notebooks: cell ordering, reproducibility, parameterisation. Use when working with .ipynb files.
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。
Apply Docker and Docker Compose best practices for containerising services. Use when writing or reviewing Dockerfiles and compose configs.
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 RESTful APIs with best practices for consistency and usability
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。
Git best practices for version control and collaboration
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 coding assistance with best practices and code review
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 guide for building robust, secure, and efficient CI/CD pipelines using GitHub Actions. Use when the task involves `creating or editing GitHub Actions workflows`, `.github/workflows/*.yml`, `CI/CD pipelines`, `GitHub Actions best practices`, or `workflow optimization`.
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。
Best practices for authoring clean, maintainable, and portable GNU Make Makefiles. Use when the task involves `creating or editing Makefiles`, `Makefile`, `makefile`, `*.mk`, `GNUmakefile`, `GNU Make patterns`, `build automation`, or `makefile troubleshooting`.
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 skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude 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。
Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations. (project, gitignored)
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。
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
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。
Community knowledge from bivector.net - GA tutorials, discussions, and best 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。