gen-specs-as-issues

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill gen-specs-as-issues
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summary

Systematic workflow for identifying missing features, prioritizing them, and creating detailed GitHub issue specifications.

  • Guides through five structured phases: project understanding, gap analysis, prioritization scoring, specification development, and issue creation
  • Uses a quantitative priority matrix (User Impact × Strategic Alignment / Implementation Effort × Risk Level) to rank features objectively
  • Includes work distribution optimization to maximize independent development stre
skill.md

Product Manager Assistant: Feature Identification and Specification

This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.

1. Project Understanding Phase

  • Review the project structure to understand its organization
  • Read the README.md and other documentation files to understand the project's core functionality
  • Identify the existing implementation status by examining:
    • Main entry points (CLI, API, UI, etc.)
    • Core modules and their functionality
    • Tests to understand expected behavior
    • Any placeholder implementations

Guiding Questions:

  • What is the primary purpose of this project?
  • What user problems does it solve?
  • What patterns exist in the current implementation?
  • Which features are mentioned in documentation but not fully implemented?

2. Gap Analysis Phase

  • Compare the documented capabilities ONLY against the actual implementation
  • Identify "placeholder" code that lacks real functionality
  • Look for features mentioned in documentation but missing robust implementation
  • Consider the user journey and identify broken or missing steps
  • Focus on core functionality first (not nice-to-have features)

Output Creation:

  • Create a list of potential missing features (5-7 items)
  • For each feature, note:
    • Current implementation status
    • References in documentation
    • Impact on user experience if missing

3. Prioritization Phase

  • Apply a score to each identified gap:

Scoring Matrix (1-5 scale):

  • User Impact: How many users benefit?
  • Strategic Alignment: Fits core mission?
  • Implementation Feasibility: Technical complexity?
  • Resource Requirements: Development effort needed?
  • Risk Level: Potential negative impacts?

Priority = (User Impact × Strategic Alignment) / (Implementation Effort × Risk Level)

Output Creation:

  • Present the top 3 highest-priority missing features based on the scoring
  • For each, provide:
    • Feature name
    • Current status
    • Impact if not implemented
    • Dependencies on other features

4. Specification Development Phase

  • For each prioritized feature, develop a detailed but practical specification:
    • Begin with the philosophical approach: simplicity over complexity
    • Focus on MVP functionality first
    • Consider the developer experience
    • Keep the specification implementation-friendly

For Each Feature Specification:

  1. Overview & Scope

    • What problem does it solve?
    • What's included and what's explicitly excluded?
  2. Technical Requirements

    • Core functionality needed
    • User-facing interfaces (API, UI, CLI, etc.)
    • Integration points with existing code
  3. Implementation Plan

    • Key modules/files to create or modify
    • Simple code examples showing the approach
    • Clear data structures and interfaces
  4. Acceptance Criteria

    • How will we know when it's done?
    • What specific functionality must work?
    • What tests should pass?

5. GitHub Issue Creation Phase

  • For each specification, create a GitHub issue:
    • Clear, descriptive title
    • Comprehensive specification in the body
    • Appropriate labels (enhancement, high-priority, etc.)
    • Explicitly mention MVP philosophy where relevant

Issue Template Structure:

[Feature Name]

Overview

[Brief description of the feature and its purpose]

Scope

[What's included and what's explicitly excluded]

Technical Requirements

[Specific technical needs and constraints]

Implementation Plan

[Step-by-step approach with simple code examples]

Acceptance Criteria

[Clear list of requirements to consider the feature complete]

Priority

[Justification for prioritization]

Dependencies

  • Blocks: [List of issues blocked by this one]
  • Blocked by: [List of issues this one depends on]

Implementation Size

  • Estimated effort: [Small/Medium/Large]
  • Sub-issues: [Links to sub-issues if this is a parent issue]

5.5 Work Distribution Optimization

  • Independence Analysis

    • Review each specification to identify truly independent components
    • Refactor specifications to maximize independent work streams
    • Create clear boundaries between interdependent components
  • Dependency Mapping

    • For features with unavoidable dependencies, establish clear issue hierarchies
    • Create parent issues for the overall feature with sub-issues for components
    • Explicitly document "blocked by" and "blocks" relationships
  • Workload Balancing

    • Break down large specifications into smaller, manageable sub-issues
    • Ensure each sub-issue represents 1-3 days of development work
    • Include sub-issue specific acceptance criteria

Implementation Guidelines:

  • Use GitHub issue linking syntax to create explicit relationships
  • Add labels to indicate dependency status (e.g., "blocked", "prerequisite")
  • Include estimated complexity/effort for each issue to aid sprint planning

6. Final Review Phase

  • Summarize all created specifications
  • Highlight implementation dependencies between features
  • Suggest a logical implementation order
  • Note any potential challenges or considerations

Remember throughout this process:

  • Favor simplicity over complexity
  • Start with minimal viable implementations that work
  • Focus on developer experience
  • Build a foundation that can be extended later
  • Consider the open-source community and contribution model

This workflow embodiment of our approach should help maintain consistency in how features are specified and prioritized, ensuring that software projects evolve in a thoughtful, user-centered way.

how to use gen-specs-as-issues

How to use gen-specs-as-issues 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 gen-specs-as-issues
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 gen-specs-as-issues

The skills CLI fetches gen-specs-as-issues 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/gen-specs-as-issues

Reload or restart Cursor to activate gen-specs-as-issues. Access the skill through slash commands (e.g., /gen-specs-as-issues) 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)
  • No comments yet — start the thread.
general reviews

Ratings

4.674 reviews
  • Pratham Ware· Dec 24, 2024

    gen-specs-as-issues reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dev Ndlovu· Dec 24, 2024

    Useful defaults in gen-specs-as-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Naina Taylor· Dec 20, 2024

    gen-specs-as-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Omar Dixit· Dec 16, 2024

    Useful defaults in gen-specs-as-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Lucas Menon· Dec 4, 2024

    I recommend gen-specs-as-issues for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Lucas Iyer· Nov 23, 2024

    Keeps context tight: gen-specs-as-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Omar Gill· Nov 15, 2024

    gen-specs-as-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Lucas Patel· Nov 11, 2024

    Useful defaults in gen-specs-as-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Omar Farah· Nov 7, 2024

    gen-specs-as-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aisha Sethi· Oct 26, 2024

    Keeps context tight: gen-specs-as-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.

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