Best fit
- Generate a complete, production-ready application from an OpenAPI specification
github/awesome-copilot
Generate a complete, production-ready application from an OpenAPI specification
npx skills add https://github.com/github/awesome-copilot --skill "skills/openapi-to-application-code"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
According to the pinned SKILL.md from github/awesome-copilot: Your goal is to generate a complete, working application from an OpenAPI specification using the active framework's conventions and best practices.
npx skills add https://github.com/github/awesome-copilot --skill "skills/openapi-to-application-code"Best fit
Bring this context
Expected outputs
Key source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
Validate the OpenAPI spec for completeness and correctness
Validate the OpenAPI spec for completeness and correctness
Plan directory structure appropriate for the framework
Create project structure with build/package configuration files
Generate appropriate unit tests for services and controllers
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use openapi-to-application-code to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned openapi-to-application-code source to [task]. Pay particular attention to these source sections: “Generation Process”, “Step 1: Analyze the OpenAPI Specification”, “Step 2: Design Application Architecture”, “Step 3: Generate Application Code”, “Step 4: Add Supporting Files”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current openapi-to-application-code result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
The task matches the purpose documented in the SKILL.md.
The source section “Generation Process” has been checked.
The source section “Step 1: Analyze the OpenAPI Specification” has been checked.
The source section “Step 2: Design Application Architecture” has been checked.
The source section “Step 3: Generate Application Code” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
A separate implementation from github/awesome-copilot; compare its source, maintenance signals, and permission requirements.
Open source detailComprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java, JavaScript, React, Python). Generates configurable blueprints with version information, licensing details, usage patterns, coding conventions, and visual diagrams. Provides implementation-ready templates and maintains architectural consistency fo
A separate implementation from github/awesome-copilot; compare its source, maintenance signals, and permission requirements.
Open source detailUse when working directly with the `esm` Python SDK, ESM3 or ESMC model IDs, Forge/Biohub inference clients, or ESMFold2 folding workflows.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Your goal is to generate a complete, working application from an OpenAPI specification using the active framework's conventions and best practices.
The catalog detected this source-specific install command: npx skills add https://github.com/github/awesome-copilot --skill "skills/openapi-to-application-code". Inspect the command and pinned source before running it.
No dedicated Agent platform is declared in the pinned source record.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java, JavaScript, React, Python). Generates configurable blueprints with version information, licensing details, usage patterns, coding conventions, and visual diagrams. Provides implementation-ready templates and maintains architectural consistency fo
Use when working directly with the `esm` Python SDK, ESM3 or ESMC model IDs, Forge/Biohub inference clients, or ESMFold2 folding workflows.
ONLY when user asks for single-pass tech-stack detection or `agents/evidence/analysis/` write-up. Deep multi-pass audit → `universal-project-analysis`. Raw primitives → `project-analysis-core`.
Use when creating or rewriting a README for a reusable package or library. Focus on installability, minimal usage example, compatibility, and developer onboarding.
Your goal is to generate a complete, working application from an OpenAPI specification using the active framework's conventions and best practices.
OpenAPI Specification: Provide either:
https://api.example.com/openapi.json)Project Details (if not in spec):
The generated application will include:
project-name/
├── README.md # Setup and usage instructions
├── [build-config] # Framework-specific build files (pom.xml, build.gradle, package.json, etc.)
├── src/
│ ├── main/
│ │ ├── [language]/
│ │ │ ├── controllers/ # HTTP endpoint handlers
│ │ │ ├── services/ # Business logic
│ │ │ ├── models/ # Data models and DTOs
│ │ │ ├── repositories/ # Data access (if applicable)
│ │ │ └── config/ # Application configuration
│ │ └── resources/ # Configuration files
│ └── test/
│ ├── [language]/
│ │ ├── controllers/ # Controller tests
│ │ └── services/ # Service tests
│ └── resources/ # Test configuration
├── .gitignore
├── .env.example # Environment variables template
└── docker-compose.yml # Optional: Docker setup (if applicable)
After generation: