Results for “content-api”

Generate PDF, DOCX, EPUB, and PPTX documents from structured content blocks.

Design consistent, developer-friendly REST APIs with conventions for resource naming, HTTP methods, status codes, pagination, filtering, error responses, versioning, and rate limiting.

Plan and govern product content: audit existing material, define content models, establish voice and tone, and set ownership workflows.

Design REST and GraphQL APIs with OpenAPI 3.1 specifications, resource modeling, versioning strategies, pagination patterns, and error handling standards.

Expert at designing clean, consistent, and developer-friendly APIs. Covers RESTful conventions, versioning strategies, error handling, pagination, rate limiting, and OpenAPI documentation. Designs APIs that are intuitive to use and easy to evolve. Use when "API design, REST API, RESTful, API versioning, API documentation, OpenAPI, Swagger, API error handling, pagination, rate limiting, api, rest, http, versioning, pagination, openapi, swagger" mentioned.

Design RESTful APIs with proper resource modeling, HTTP method semantics, status codes, pagination, versioning, and documentation. Use when the user requests api design or provides relevant inputs for this workflow.

Design APIs with endpoints, methods, and documentation. TRIGGERS - Use when user needs help with api-design related tasks.

Generates a three-column technical documentation page with side navigation, article body, and sticky table of contents.

Crawl entire websites using Cloudflare Browser Rendering /crawl API. Initiates async crawl jobs, polls for completion, and saves results as markdown files. Useful for ingesting documentation sites, knowledge bases, or any web content into your project context. Requires CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN environment variables.

Creates, structures, and reviews technical documentation using the Diátaxis framework, organizing content into tutorials, how-to guides, reference material, and explanations.

Resolves an approved article comment task into a publishable AI markdown reply by fetching article context from a local HTTP API (with sf-cli fallback), reasoning with the selected quote and full article content, and writing the final reply to a backend-provided local result file path.