GitHub
api-docs-generator
Generate API documentation in OpenAPI/Swagger, Markdown, or Postman Collection formats. Use when documenting REST APIs, GraphQL schemas, or creating client code examples.
Skills IA DevOps
Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.
Catégories: DevOps
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GitHub
log-analyzer
Analyze application logs to detect errors, patterns, anomalies, and generate insights. Use when troubleshooting issues or analyzing system behavior.
GitHub
azure-artifacts-manager
Manage Azure Artifacts including package feeds, versions, and dependencies. Use when publishing or managing artifact packages.
GitHub
dockerfile-generator
Generate optimized Dockerfiles with multi-stage builds and best practices. Use when containerizing applications or creating Docker configurations.
GitHub
sql-query-helper
Generate, optimize, and explain SQL queries with best practices. Use when writing database queries or optimizing SQL performance.
GitHub
docx-processor
Process and generate Word documents with formatting, tables, and images. Use when working with Word documents or generating reports.
GitHub
azure-wiki-generator
Generate and manage Azure DevOps Wiki pages with markdown content. Use when creating project documentation or wiki pages.
GitHub
data-converter
Convert data between formats (JSON, XML, CSV, YAML, TOML). Use when transforming data structures or migrating between data formats.
GitHub
azure-repos-helper
Manage Azure Repos including branches, pull requests, and code reviews. Use when working with Azure Repos or managing repository operations.
GitHub
pdf-processor
Process, extract, and generate PDF documents with text extraction and form handling. Use when working with PDF files or extracting PDF content.
GitHub
automation-script-generator
繰り返し作業の自動化スクリプト生成スキル。Shell、Python、PowerShell、Node.jsスクリプトを生成。ファイル操作、データ処理、API連携、CI/CD、バックアップ、監視、レポート生成を自動化。
GitHub
pptx-generator
Generate PowerPoint presentations with slides, charts, and formatting. Use when creating presentations programmatically.
GitHub
mcp-server-builder
Build Model Context Protocol (MCP) servers with best practices. Generate production-ready MCP servers in Python or TypeScript with tools, resources, and prompts.
GitHub
graphql-schema-generator
Generate GraphQL schemas, resolvers, and type definitions. Use when designing GraphQL APIs or documenting GraphQL schemas.
GitHub
changelog-generator
Generate comprehensive changelogs from git history following Keep a Changelog format. Use when creating release notes or maintaining version history.
GitHub
config-file-generator
Generate configuration files for tools like ESLint, Prettier, TypeScript, and Webpack. Use when setting up project tooling or standardizing configurations.
GitHub
meeting-notes
Generate structured meeting notes with action items, decisions, and summaries from transcripts. Use when documenting meetings or creating meeting summaries.
GitHub
test-generator
Generate comprehensive unit, integration, and E2E tests with edge cases, mocks, and assertions. Use when writing tests for functions, classes, APIs, or implementing TDD.
GitHub
ci-cd-generator
Generate CI/CD pipeline configurations for GitHub Actions, GitLab CI, Jenkins. Use when setting up automated build and deployment pipelines.
GitHub
excel-processor
Process Excel files with data manipulation, formula generation, and chart creation. Use when working with spreadsheets or Excel data.
GitHub
multi-stage-pipeline
Create multi-stage Azure Pipelines with deployment gates and approvals. Use when implementing complex deployment pipelines with multiple environments.
GitHub
yaml-pipeline-validator
Validate and lint Azure Pipelines YAML with best practices checks. Use when validating pipeline syntax or ensuring pipeline quality.
GitHub
data-visualization
Create data visualizations using various charting libraries. Use when visualizing data or creating interactive charts.
GitHub
algorithmic-art
Generate creative coding art using Canvas, SVG, WebGL, and generative algorithms. Use when creating algorithmic art or generative designs.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.