Claude Marketplaces
SkillsMCP serversMarketplacesDigestTools
Submit

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP servers by category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control
Claude Marketplaces

An independent directory of skills, plugins and MCP servers for Claude Code. Not affiliated with Anthropic.

Browse

  • Skills
  • MCP servers
  • Marketplaces
  • Weekly digest
  • Skill index
  • MCP index
  • Marketplace index

Site

  • About
  • Tools
  • Submit
  • Feedback
  • Privacy
  • llms.txt
  • Plugins reference

Maker

  • Snug
  • Agent Caffeine
  • knobs
  • Wax
  • Vectoys
  • mertduzgun.com
Crafted at
Skills/Git & Pull Requests
github avatar

Gen Specs As Issues

github/awesome-copilotOfficial

The gen-specs-as-issues skill guides product managers and developers through a four-phase workflow to systematically identify missing features in a codebase, prioritize them using a quantitative scoring matrix, and generate detailed implementation specifications. It solves the problem of unclear feature gaps and implementation priorities by combining code analysis with structured gap identification and feasibility assessment. The skill produces actionable specifications focused on MVP functionality and developer experience, turning abstract feature requests into concrete technical requirements.

installs
8.8K
GitHub stars
40.5K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add github/awesome-copilot --skill gen-specs-as-issues --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

SKILL.md on GitHub

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/github/awesome-copilot
Categories
Git & Pull Requests, AI & Agent Building, Automation & Workflows

More from github/awesome-copilot

All 318
  • Suggest Awesome Github Copilot Instructions8.8K
  • Power Apps Code App Scaffold8.7K
  • Structured Autonomy Generate8.7K
  • Dataverse Python Quickstart8.7K
  • Copilot Usage Metrics8.7K
  • Java Add Graalvm Native Image Support8.7K
  • Mcp Create Adaptive Cards8.7K
  • Transloadit Media Processing8.7K
  • Dataverse Python Usecase Builder8.7K
  • Mcp Create Declarative Agent8.7K
  • Create Spring Boot Kotlin Project8.7K
  • Typespec Create Api Plugin8.7K
  • Cosmosdb Datamodeling8.7K
  • Sponsor Finder8.7K
  • Power Platform Mcp Connector Suite8.7K
  • Mcp Copilot Studio Server Generator8.7K
  • Az Cost Optimize8.7K
  • Kotlin Mcp Server Generator8.7K
  • Shuffle Json Data8.7K
  • Declarative Agents8.7K
  • Azure Resource Health Diagnose8.7K
  • Typespec Create Agent8.7K
  • Containerize Aspnet Framework8.7K
  • Centos Linux Triage8.7K

Recommended

More Git & Pull Requests
1github avatarpower-apps-code-app-scaffoldgithub/awesome-copilotScaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration8.7Kinstalls
2github avatarstructured-autonomy-generategithub/awesome-copilotStructured Autonomy Implementation Generator Prompt8.7Kinstalls
3github avatardataverse-python-quickstartgithub/awesome-copilotGenerate Python SDK setup + CRUD + bulk + paging snippets using official patterns.8.7Kinstalls
4github avatarcopilot-usage-metricsgithub/awesome-copilotRetrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.8.7Kinstalls
5github avatarjava-add-graalvm-native-image-supportgithub/awesome-copilotGraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until su8.7Kinstalls
6github avatarmcp-create-adaptive-cardsgithub/awesome-copilotSkill converted from mcp-create-adaptive-cards.prompt.md8.7Kinstalls