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Update Specification

  • 9.1k installs
  • 37.1k repo stars
  • Updated July 28, 2026
  • github/awesome-copilot

update-specification is an agent skill that Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.

About

Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code. --- name: update-specification description: 'Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.' --- # Update Specification Your goal is to update the existing specification file `${file}` based on new requirements or updates to any existing code. 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.

  • 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.

Update Specification by the numbers

  • 9,067 all-time installs (skills.sh)
  • +33 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #119 of 2,184 Testing & QA skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

update-specification capabilities & compatibility

Capabilities
use precise, explicit, and unambiguous language. · clearly distinguish between requirements, constr · use structured formatting (headings, lists, tabl · avoid idioms, metaphors, or context dependent re · define all acronyms and domain specific terms.
Use cases
documentation
From the docs

What update-specification says it does

Follow established documentation standards and ensure the content is machine-readable and self-contained.
SKILL.md
## Best Practices for AI-Ready Specifications - Use precise, explicit, and unambiguous language.
SKILL.md
- Clearly distinguish between requirements, constraints, and recommendations.
SKILL.md
- Use structured formatting (headings, lists, tables) for easy parsing.
SKILL.md
npx skills add https://github.com/github/awesome-copilot --skill update-specification

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Listed on Skillselion
Installs9.1k
repo stars37.1k
Security audit3 / 3 scanners passed
Last updatedJuly 28, 2026
Repositorygithub/awesome-copilot

What problem does update-specification solve for developers using this skill?

Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.

Who is it for?

Developers who need update-specification patterns described in the cached skill documentation.

Skip if: Skip when docs are empty or the task is outside the skill's documented scope.

When should I use this skill?

Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.

What you get

Actionable workflows and conventions from SKILL.md for update-specification.

  • Updated specification file

Files

SKILL.mdMarkdownGitHub ↗

Update Specification

Your goal is to update the existing specification file ${file} based on new requirements or updates to any existing code.

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: [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 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]

Related skills

How it compares

Use update-specification to sync an existing AI-facing spec; use breakdown-feature-implementation when starting from a Feature PRD instead of an established spec file.

FAQ

What does update-specification do?

Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.

When should I use update-specification?

Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.

Is update-specification safe to install?

Review the Security Audits panel on this page before installing in production.

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