update-specification

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill update-specification
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summary

Update specification files for AI-ready consumption based on new requirements or code changes.

  • Modifies existing specification documents in /spec/ directory using structured markdown with YAML front matter
  • Ensures specifications are precise, unambiguous, and machine-readable through established formatting standards (headings, lists, tables, code blocks)
  • Covers 11 core sections: purpose, definitions, requirements, interfaces, acceptance criteria, testing strategy, rationale, dependenc
skill.md

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
// 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]

how to use update-specification

How to use update-specification on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add update-specification
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/github/awesome-copilot --skill update-specification

The skills CLI fetches update-specification from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/update-specification

Reload or restart Cursor to activate update-specification. Access the skill through slash commands (e.g., /update-specification) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.872 reviews
  • Mateo Khan· Dec 24, 2024

    Keeps context tight: update-specification is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Liam Perez· Dec 20, 2024

    Keeps context tight: update-specification is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mateo Yang· Dec 16, 2024

    Registry listing for update-specification matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Zara Menon· Dec 12, 2024

    update-specification has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yusuf Rahman· Dec 8, 2024

    update-specification is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Valentina Kim· Dec 8, 2024

    update-specification fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chen Robinson· Nov 27, 2024

    update-specification has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Fatima Dixit· Nov 15, 2024

    Keeps context tight: update-specification is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Nia Malhotra· Nov 7, 2024

    Useful defaults in update-specification — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Reddy· Nov 3, 2024

    update-specification fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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