Systematic workflow for identifying missing features, prioritizing them, and creating detailed GitHub issue specifications.
Works with
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
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongen-specs-as-issuesExecute the skills CLI command in your project's root directory to begin installation:
Fetches gen-specs-as-issues from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gen-specs-as-issues. Access via /gen-specs-as-issues in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
Guiding Questions:
Output Creation:
Scoring Matrix (1-5 scale):
Priority = (User Impact × Strategic Alignment) / (Implementation Effort × Risk Level)
Output Creation:
For Each Feature Specification:
Overview & Scope
Technical Requirements
Implementation Plan
Acceptance Criteria
Issue Template Structure:
[Brief description of the feature and its purpose]
[What's included and what's explicitly excluded]
[Specific technical needs and constraints]
[Step-by-step approach with simple code examples]
[Clear list of requirements to consider the feature complete]
[Justification for prioritization]
Independence Analysis
Dependency Mapping
Workload Balancing
Implementation Guidelines:
Remember throughout this process:
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.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
gen-specs-as-issues reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in gen-specs-as-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gen-specs-as-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in gen-specs-as-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend gen-specs-as-issues for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: gen-specs-as-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.
gen-specs-as-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in gen-specs-as-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gen-specs-as-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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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