create-specification
github/awesome-copilot
Create AI-optimized specification files with structured templates for clear, machine-readable requirements.
What is create-specification?
This skill generates specification files designed for Generative AI consumption, following established documentation standards. Use it when you need to define requirements, constraints, and interfaces for solution components in a format that's precise, unambiguous, and easy for AI systems to parse.
- Creates specification files in a standardized Markdown format with front matter and structured sections
- Enforces precise, explicit language and avoids idioms or ambiguous references
- Organizes requirements, constraints, and guidelines with clear labeling (REQ-, SEC-, CON-, etc.)
- Includes acceptance criteria in Given-When-Then format for testability
- Defines interfaces, data contracts, and external dependencies separately from implementation details
- Provides sections for test automation strategy, rationale, examples, and edge cases
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
- 2.Fill in the front matter (title, version, date, owner, tags)
- 3.Complete each section of the template, starting with Purpose & Scope and Definitions
- 4.Use the requirement labeling scheme (REQ-, SEC-, CON-, etc.) for all requirements and constraints
- 5.Write acceptance criteria in Given-When-Then format where applicable
- 6.Save the file to the `/spec/` directory with the naming convention `spec-[type]-[descriptive-name].md`
Use cases
- Documenting API contracts and data schemas for AI-assisted development
- Creating infrastructure or architecture specifications that AI agents can follow precisely
- Defining process or workflow specifications for automation and code generation
- Establishing design specifications with clear acceptance criteria for validation
- Writing tool or service specifications that separate requirements from implementation choices
- Development teams using AI coding assistants (Claude Code, Cursor)
- Technical leads defining requirements for AI-generated solutions
- Architects documenting system interfaces and constraints
- Teams implementing specifications generated or reviewed by AI agents
create-specification FAQ
Use the format `spec-[a-z0-9-]+.md` where the name starts with the high-level purpose (schema, tool, data, infrastructure, process, architecture, or design), followed by a descriptive name. For example: `spec-schema-user-api.md` or `spec-infrastructure-database.md`.
The format uses precise, unambiguous language, avoids idioms and metaphors, includes structured formatting with clear labeling schemes, defines all terms, and is self-contained. This makes it easier for AI systems to parse, understand, and generate code that complies with the specification.
No. The Dependencies section should focus on architectural and business needs (e.g., 'OAuth 2.0 authentication library') rather than specific implementations or versions, unless the version represents an architectural constraint.
Use the Given-When-Then format where appropriate (e.g., 'Given [context], When [action], Then [expected outcome]'), or write them as 'The system shall [behavior] when [condition]' statements.
Yes, you should fill out all applicable sections appropriately for your specification type. Some sections (like Test Automation Strategy) may be more relevant for certain specification types than others.
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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