
gen-specs-as-issues
This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
- Installs
- 8.8K
- Last 24h
- —
- Trending rank
- —
- Security
- Warn
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/github/awesome-copilot --skill gen-specs-as-issues- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads gen-specs-as-issues automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
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:
-
Overview & Scope
- What problem does it solve?
- What's included and what's explicitly excluded?
-
Technical Requirements
- Core functionality needed
- User-facing interfaces (API, UI, CLI, etc.)
- Integration points with existing code
-
Implementation Plan
- Key modules/files to create or modify
- Simple code examples showing the approach
- Clear data structures and interfaces
-
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.
FAQ
What does the gen-specs-as-issues skill do?
This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
How do I install gen-specs-as-issues?
Run npx skills add https://github.com/github/awesome-copilot --skill gen-specs-as-issues in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gen-specs-as-issues/ (personal) or .claude/skills/gen-specs-as-issues/ (project).
Which AI agents can use gen-specs-as-issues?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is gen-specs-as-issues safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains gen-specs-as-issues?
It is published by github in github/awesome-copilot, and it is an official skill from the maker of the technology it covers. It has 8,756 recorded installs.
More from github/awesome-copilot
git-commit
github/awesome-copilot
Use this skill when the user wants to make a Git commit or split changes into more than one commit. Also use it when the user types "/commit" or asks for a conventional commit. The skill examines the diff, stages the related files, writes a Conventional Commits message, and runs git commit. Do not use it when the user wants only a commit message and no commit. Do not use it to push, open a pull request, rebase, or change the commit history.
excalidraw-diagram-generator
github/awesome-copilot
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
multi-stage-dockerfile
github/awesome-copilot
Create optimized multi-stage Dockerfiles for any language or framework
documentation-writer
github/awesome-copilot
Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.
prd
github/awesome-copilot
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
refactor
github/awesome-copilot
Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.
Popular productivity & automation skills
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
lark-doc
open.feishu.cn
飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
lark-base
open.feishu.cn
飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。
lark-drive
open.feishu.cn
飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。
lark-shared
open.feishu.cn
Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.
lark-im
open.feishu.cn
飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。