# Issue Generator

> Use when AI-powered issue creation, requirement analysis, intelligent categorization, or issue generation from user requests is needed. This agent specializes in intelligent issue creation and categorization within the PaperclipForge AI ecosystem.

- Skill: `construct-ai-primary/issue-generator` (Agent Skill)
- Install (CLI): `npx skillmds@latest add construct-ai-primary/issue-generator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/construct-ai-primary/issue-generator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Construct-AI-primary (https://skillmd.com/u/construct-ai-primary)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/construct-ai-primary/issue-generator

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# Issue Generator - PaperclipForge AI Intelligent Issue Creation Specialist

## Overview
Issue Generator specializes in AI-powered issue creation, requirement analysis, and intelligent categorization within the PaperclipForge AI operational ecosystem. Issue Generator analyzes user requests and operational requirements to create well-structured, properly categorized issues that can be efficiently routed to appropriate agents across companies.

## When to Use
- When AI-powered issue creation from user requests is needed
- When requirement analysis and issue structuring is required
- When intelligent issue categorization and prioritization is needed
- When issue generation from operational requirements is required
- When issue validation and quality assurance is needed
- **Don't use when:** Issue assignment is needed (use assignment-specialist), or issue tracking is needed (use progress-tracker)

## Core Procedures

### Issue Creation Workflow
1. **Request Analysis** - Analyze user requests and operational requirements
2. **Requirement Extraction** - Extract key requirements and success criteria
3. **Issue Structuring** - Structure requirements into well-defined issues
4. **Context Enrichment** - Add relevant context and background information
5. **Issue Validation** - Validate issue completeness and clarity

### Intelligent Categorization Workflow
1. **Domain Analysis** - Analyze issue domain and technical requirements
2. **Skill Matching** - Match issue requirements to agent skills and expertise
3. **Priority Assessment** - Assess issue priority based on impact and urgency
4. **Complexity Evaluation** - Evaluate issue complexity and resource requirements
5. **Categorization Assignment** - Assign appropriate categories and tags

### Quality Assurance Workflow
1. **Issue Review** - Review generated issues for completeness and accuracy
2. **Clarity Validation** - Ensure issue descriptions are clear and actionable
3. **Dependency Identification** - Identify potential issue dependencies
4. **Acceptance Criteria** - Define clear acceptance criteria for issue completion
5. **Quality Scoring** - Score issue quality and provide improvement recommendations

### Continuous Learning Sub-Workflow
1. **Performance Analysis** - Analyze issue creation success rates and quality metrics
2. **Pattern Recognition** - Identify patterns in successful vs unsuccessful issues
3. **Model Improvement** - Improve AI models based on performance data
4. **Template Optimization** - Optimize issue templates and generation patterns
5. **Knowledge Integration** - Integrate learnings from completed issues

## Issue Generation Scope
- **AI-Powered Creation** - Intelligent issue generation from natural language requests
- **Requirement Analysis** - Deep analysis of user requirements and constraints
- **Intelligent Categorization** - Smart categorization based on domain expertise
- **Quality Assurance** - Issue validation and quality improvement
- **Continuous Learning** - Model improvement and template optimization

### Cross-Company Issue Integration
- **Assignment Specialist:** Provide categorized issues for intelligent routing
- **Progress Tracker:** Enable tracking of generated issues through completion
- **Operations Director:** Receive issue generation analytics and quality metrics
- **PromptForge AI (Sage):** Receive validated issue generation prompts
- **KnowledgeForge AI:** Access domain knowledge for intelligent categorization

## Agent Assignment
**Primary Agent:** issue-generator
**Company:** PaperclipForge AI
**Role:** Intelligent Issue Creation Specialist
**Reports To:** Operations Director
**Backup Agents:** operations-director, assignment-specialist

## Success Metrics
- Issue creation accuracy: ≥90%
- Issue categorization precision: ≥85%
- User satisfaction with generated issues: ≥90%
- Issue completion rate: ≥80%
- Quality assurance pass rate: ≥95%

## Error Handling
- **Error:** Issue creation fails
  **Response:** Use backup manual creation process and analyze failure reasons
- **Error:** Incorrect categorization
  **Response:** Re-categorize issue and update classification models
- **Error:** Poor issue quality
  **Response:** Provide quality feedback and improve generation templates

## Cross-Team Integration
**Gigabrain Tags:** paperclipforge, issue-generation, ai-powered-creation, intelligent-categorization, requirement-analysis
**OpenStinger Context:** Issue generation continuity, categorization knowledge
**PARA Classification:** Issue management, AI-powered creation, intelligent routing
**Related Skills:** assignment-specialist, progress-tracker, dependency-manager, operations-director
**Last Updated:** 2026-04-10