create-specification
github/awesome-copilot
Create AI-optimized specification files with structured templates and best practices for clear, machine-readable requirements.
What is create-specification?
This skill generates specification files designed for Generative AI consumption, ensuring requirements, constraints, and interfaces are precise, unambiguous, and well-structured. Use it when you need to document solution components, APIs, data contracts, or architectural decisions in a format that AI agents can reliably parse and act upon.
- Creates specification files following a standardized Markdown template with front matter
- Enforces structured formatting (headings, lists, tables) for machine readability
- Guides definition of requirements, constraints, guidelines, and acceptance criteria with explicit naming conventions
- Documents interfaces, data contracts, and integration points with examples and edge cases
- Includes test automation strategy, rationale, and dependency mapping sections
- Saves specifications to /spec/ directory with descriptive naming (spec-[type]-[name].md)
How to install create-specification
npx skills add https://github.com/github/awesome-copilot --skill create-specificationHow to use create-specification
- 1.Run the skill and provide the specification purpose when prompted (e.g., 'schema', 'tool', 'data', 'infrastructure', 'process', 'architecture', or 'design')
- 2.Fill in the front matter: title, version, date_created, owner, and relevant tags
- 3.Complete each section of the template: Purpose & Scope, Definitions, Requirements, Interfaces, Acceptance Criteria, Test Strategy, Rationale, Dependencies, Examples, Validation Criteria, and Related Specifications
- 4.Use explicit naming conventions for requirements (REQ-001, SEC-001, CON-001, etc.) and acceptance criteria (AC-001, AC-002)
- 5.Ensure all acronyms, domain-specific terms, and edge cases are clearly defined with examples
- 6.Save the completed specification file with the naming convention spec-[type]-[descriptive-name].md in the /spec/ directory
Use cases
- Documenting API contracts and data schemas for AI-assisted development
- Creating infrastructure or architecture specifications before implementation
- Defining process workflows and design patterns for consistent team execution
- Specifying security, compliance, or performance requirements in unambiguous language
- Establishing acceptance criteria and test strategies for automated validation
- Software architects and technical leads
- Development teams using AI coding assistants
- DevOps and infrastructure engineers
- Product managers defining technical requirements
- QA engineers designing test automation strategies
create-specification FAQ
AI-optimized specifications use precise, unambiguous language; avoid idioms and metaphors; define all terms explicitly; use structured formatting (lists, tables, code blocks); include concrete examples and edge cases; and are self-contained without external context dependencies. This enables AI agents to parse and act on requirements reliably.
Document architectural and business dependencies (external systems, third-party services, infrastructure components, data sources, platform requirements, compliance needs) focusing on what is needed rather than specific package versions. For example, specify 'OAuth 2.0 authentication library' rather than a specific npm package version.
Use the convention spec-[type]-[descriptive-name].md where type is one of: schema, tool, data, infrastructure, process, architecture, or design. For example: spec-schema-user-api.md or spec-process-deployment-workflow.md.
The template provides a comprehensive structure, but you should fill out sections appropriately for your specification's purpose. Some sections (like version, owner, or examples) are marked optional and can be omitted if not applicable.
Use Given-When-Then format where appropriate (e.g., 'Given [context], When [action], Then [expected outcome]') or explicit system behavior statements (e.g., 'The system shall [specific behavior] when [condition]'). Each criterion should be testable and unambiguous.
Full instructions (SKILL.md)
Source of truth, from github/awesome-copilot.
name: create-specification description: 'Create a new specification file for the solution, optimized for Generative AI consumption.'
Create Specification
Your goal is to create a new specification file for ${input:SpecPurpose}.
The specification file must define the requirements, constraints, and interfaces for the solution components in a manner that is clear, unambiguous, and structured for effective use by Generative AIs. Follow established documentation standards and ensure the content is machine-readable and self-contained.
Best Practices for AI-Ready Specifications
- Use precise, explicit, and unambiguous language.
- Clearly distinguish between requirements, constraints, and recommendations.
- Use structured formatting (headings, lists, tables) for easy parsing.
- Avoid idioms, metaphors, or context-dependent references.
- Define all acronyms and domain-specific terms.
- Include examples and edge cases where applicable.
- Ensure the document is self-contained and does not rely on external context.
The specification should be saved in the /spec/ directory and named according to the following convention: spec-[a-z0-9-]+.md, where the name should be descriptive of the specification's content and starting with the highlevel purpose, which is one of [schema, tool, data, infrastructure, process, architecture, or design].
The specification file must be formatted in well formed Markdown.
Specification files must follow the template below, ensuring that all sections are filled out appropriately. The front matter for the markdown should be structured correctly as per the example following:
---
title: [Concise Title Describing the Specification's Focus]
version: [Optional: e.g., 1.0, Date]
date_created: [YYYY-MM-DD]
last_updated: [Optional: YYYY-MM-DD]
owner: [Optional: Team/Individual responsible for this spec]
tags: [Optional: List of relevant tags or categories, e.g., `infrastructure`, `process`, `design`, `app` etc]
---
# Introduction
[A short concise introduction to the specification and the goal it is intended to achieve.]
## 1. Purpose & Scope
[Provide a clear, concise description of the specification's purpose and the scope of its application. State the intended audience and any assumptions.]
## 2. Definitions
[List and define all acronyms, abbreviations, and domain-specific terms used in this specification.]
## 3. Requirements, Constraints & Guidelines
[Explicitly list all requirements, constraints, rules, and guidelines. Use bullet points or tables for clarity.]
- **REQ-001**: Requirement 1
- **SEC-001**: Security Requirement 1
- **[3 LETTERS]-001**: Other Requirement 1
- **CON-001**: Constraint 1
- **GUD-001**: Guideline 1
- **PAT-001**: Pattern to follow 1
## 4. Interfaces & Data Contracts
[Describe the interfaces, APIs, data contracts, or integration points. Use tables or code blocks for schemas and examples.]
## 5. Acceptance Criteria
[Define clear, testable acceptance criteria for each requirement using Given-When-Then format where appropriate.]
- **AC-001**: Given [context], When [action], Then [expected outcome]
- **AC-002**: The system shall [specific behavior] when [condition]
- **AC-003**: [Additional acceptance criteria as needed]
## 6. Test Automation Strategy
[Define the testing approach, frameworks, and automation requirements.]
- **Test Levels**: Unit, Integration, End-to-End
- **Frameworks**: MSTest, FluentAssertions, Moq (for .NET applications)
- **Test Data Management**: [approach for test data creation and cleanup]
- **CI/CD Integration**: [automated testing in GitHub Actions pipelines]
- **Coverage Requirements**: [minimum code coverage thresholds]
- **Performance Testing**: [approach for load and performance testing]
## 7. Rationale & Context
[Explain the reasoning behind the requirements, constraints, and guidelines. Provide context for design decisions.]
## 8. Dependencies & External Integrations
[Define the external systems, services, and architectural dependencies required for this specification. Focus on **what** is needed rather than **how** it's implemented. Avoid specific package or library versions unless they represent architectural constraints.]
### External Systems
- **EXT-001**: [External system name] - [Purpose and integration type]
### Third-Party Services
- **SVC-001**: [Service name] - [Required capabilities and SLA requirements]
### Infrastructure Dependencies
- **INF-001**: [Infrastructure component] - [Requirements and constraints]
### Data Dependencies
- **DAT-001**: [External data source] - [Format, frequency, and access requirements]
### Technology Platform Dependencies
- **PLT-001**: [Platform/runtime requirement] - [Version constraints and rationale]
### Compliance Dependencies
- **COM-001**: [Regulatory or compliance requirement] - [Impact on implementation]
**Note**: This section should focus on architectural and business dependencies, not specific package implementations. For example, specify "OAuth 2.0 authentication library" rather than "Microsoft.AspNetCore.Authentication.JwtBearer v6.0.1".
## 9. Examples & Edge Cases
```code
// Code snippet or data example demonstrating the correct application of the guidelines, including edge cases
```
## 10. Validation Criteria
[List the criteria or tests that must be satisfied for compliance with this specification.]
## 11. Related Specifications / Further Reading
[Link to related spec 1]
[Link to relevant external documentation]
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