Create a Kotlin Spring Boot project with database connections, API documentation, and local services managed through Docker Compose. Set up dependencies and configuration files, then run Gradle tests to check the initial project.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Starting a Kotlin Spring Boot project
- Setting up local Redis, PostgreSQL, and MongoDB services
- Adding API documentation and architecture test dependencies
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Turn a feature requirements document into a detailed Markdown implementation plan following Epoch’s monorepo structure. Cover frontend components, APIs, database design, security, performance, and deployment, with Mermaid diagrams showing system architecture and data relationships.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Turning feature requirements into an implementation plan
- Mapping frontend, API, and service responsibilities
- Documenting database design and migrations
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Prepare an ASP.NET .NET Framework application for Windows Docker containers. Create project-specific build and runtime files, configure environment-based settings and Windows dependencies, and verify that the Docker image builds successfully.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Move an existing ASP.NET application into a Windows container
- Configure COM components and other Windows dependencies
- Read application settings and connection strings from environment variables
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Prepare an ASP.NET Core project to run in a Linux Docker container. Create a project-specific Dockerfile and .dockerignore, configure dependencies, ports, and environment variables, and check that the container image builds successfully.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Preparing an ASP.NET Core app for Docker
- Separating build and runtime image stages
- Configuring container dependencies and environment variables
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Turn a product requirements document for a major development initiative into a technical architecture specification, including a Mermaid system diagram, major features, supporting technologies, technical value, and a rough size estimate.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Turning product requirements into a technical architecture
- Visualizing system layers and data flows
- Identifying services and infrastructure needed for features
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Develop and troubleshoot distributed applications with Aspire. Coordinate services written in different languages through AppHost, configure connections and startup dependencies, inspect logs and metrics, and prepare deployment settings.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Creating an Aspire application from a template
- Connecting services written in different languages
- Diagnosing services through logs and traces
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Manage Azure Container Registry, a service for storing container images, with Azure CLI. Build images in the cloud, copy them between registries, clean up stored artifacts, and configure authentication and network access.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Build container images in Azure without local Docker
- Copy images from another registry
- Clean up unused images and tags
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Get oriented in an unfamiliar codebase
- Prepare documentation for a project handover
- Compare documented architecture with implementation
github/awesome-copilot☆ 4만2026년 10월 20일 업데이트
Prepare and guide software releases using rules discovered in the project and its automated build workflows. It tracks version files, helps draft release notes, runs release steps with confirmation, and checks the published result.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Preparing a software version release
- Updating version numbers across multiple files
- Drafting release notes from commit history
Yeachan-Heo/oh-my-claudecode☆ 4만2026년 10월 19일 업데이트
Guides development of MCP servers that let AI access external actions and data using mcp-use. Covers project setup, tools, reusable prompts, interactive React interfaces, authentication, validation, and deployment through task-specific reference guides.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Starting an MCP server project with mcp-use
- Adding tools and read-only data resources
- Building interactive React widgets
CopilotKit/CopilotKit☆ 3.8만2026년 10월 19일 업데이트
Review SGLang Cookbook pull requests for configuration errors, documentation mismatches, benchmark issues, and broken links. Get findings for each file and an overall recommendation on whether to approve, request changes, or block the contribution.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Reviewing a new model's Cookbook contribution
- Checking documentation against generated launch commands
- Checking benchmark definitions and measurement consistency
sgl-project/sglang☆ 3.7만2026년 10월 20일 업데이트
Add a model page to the SGLang Cookbook using shared templates. Organize verified launch settings and measured benchmarks, create configuration files and documentation, and update navigation, vendor cards, and page validation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Add documentation for a newly supported model
- Organize verified launch recipes by hardware
- Publish measured speed and accuracy results
sgl-project/sglang☆ 3.7만2026년 10월 20일 업데이트
Convert an existing SGLang cookbook page to shared templates driven by model configuration. Preserve its deployment commands and interactive choices, transfer eligible benchmark measurements, and check equivalence, links, and rendered behavior.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Migrating a legacy SGLang cookbook page
- Moving deployment choices into model configuration
- Transferring reproducible benchmark measurements
sgl-project/sglang☆ 3.7만2026년 10월 20일 업데이트
Use Stratus Red Team to simulate attack techniques across AWS, Azure, GCP, and Kubernetes. Prepare test resources, run and repeat simulations, check logs and alerts, and remove resources to assess whether security detections work.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking whether cloud detection rules trigger
- Testing log ingestion and alert routing
- Running joint attack and defense exercises
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Assess whether a container can escape its isolation and reach the host during an authorized security test. Review privileges, shared mounts, Docker socket exposure, and runC vulnerabilities, then document demonstrated impact and remediation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Testing container escape within an approved scope
- Assessing the impact of privileged or hostPath workloads
- Validating controls that block container escape
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Identify runtime signs of attackers breaking out of Docker or Kubernetes containers. Review namespace changes, privilege abuse, sensitive host access, and unusual system calls to guide incident investigations and compare monitoring coverage across security tools.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Investigating a suspected Docker or Kubernetes container escape
- Choosing runtime behaviors to monitor for escape attempts
- Comparing escape detection coverage across security sensors
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Deploy and operate Falco to monitor running containers in Kubernetes or Docker. Choose a driver, validate detection rules, confirm alerts for suspicious activity, and forward those alerts to a central security monitoring system.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Installing Falco on a Kubernetes cluster
- Choosing a driver for the Linux environment
- Checking alerts for suspicious container activity
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Create and tune Falco rules to detect possible container escapes, where a container gains access to its host. Define detection conditions, alert priorities, and output fields, then refine exceptions to reduce false positives.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Writing rules for suspicious host filesystem access
- Investigating noisy container escape alerts
- Reusing detection conditions through macros and lists
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Deploy decoy credentials, documents, and URLs with Canarytokens to detect suspicious access. Guides token generation, placement, alert testing, and inventory tracking, with email or webhook notifications when someone interacts with a planted token.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Add intrusion alerts to shared folders
- Detect use of decoy cloud credentials
- Monitor decoy documents for signs of data theft
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Build a central platform for collecting, analyzing, and sharing cyber threat information. Connect MISP, OpenCTI, TheHive, and Cortex to import feeds, add context to suspicious indicators, manage cases, and track platform activity.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Build a central threat intelligence platform
- Automate threat feed ingestion
- Add context to suspicious IP addresses and domains
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Build a central vulnerability dashboard with DefectDojo to combine scanner findings, remove duplicates, and track remediation. Includes Docker deployment, automated scan imports from CI/CD pipelines, Jira ticket integration, and API queries for reporting metrics.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Combining findings from multiple security scanners
- Importing scan results automatically from CI/CD pipelines
- Connecting vulnerability findings to Jira tickets
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Set up MISP to collect threat feeds and centrally manage indicators such as suspicious IP addresses and domains. Configure automated synchronization, connect related findings, and export indicators to security monitoring platforms or blocklists.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Centralizing threat indicators from multiple feeds
- Deploying MISP with Docker
- Automating threat feed synchronization
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Build a GitLab CI/CD pipeline with automated checks for vulnerable code, dependencies, container images, running applications, and exposed secrets. Covers scanner configuration, consolidated findings, and approval policies for serious vulnerabilities before production deployment.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Add automated security scans to .gitlab-ci.yml
- Check dependencies and container images for known vulnerabilities
- Detect credentials and API keys committed to source control
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트
Build an OpenCTI pipeline that adds external context to indicators of compromise, such as suspicious IP addresses. Connect intelligence services, relate indicators to known attackers and campaigns, and score confidence to help analysts prioritize investigations.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Deploying OpenCTI and configuring enrichment connectors
- Automatically adding context to suspicious IP addresses and domains
- Relating indicators to known attackers and campaigns
mukul975/Anthropic-Cybersecurity-Skills☆ 3.5만2026년 8월 31일 업데이트