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Dani
054c0e56e9
Removed the deprecated 'model: sonnet' field from command frontmatter to fix compatibility issues with Claude Code. Commands will now inherit the model from the active conversation instead of using a hardcoded deprecated model identifier. Changes: - Removed 'model: sonnet' from 142 command files across all categories - Commands now use default model inheritance behavior - Preserved 'model: claude-sonnet-4-5-20250929' in gemini-review.md (valid model) - 67 commands without model field remain unchanged This resolves the "model: sonnet not found" error reported in GitHub issues and aligns with Claude Code's recommended practice of letting commands inherit the conversation model. Affected categories: - Database/Supabase commands (8 files) - Documentation commands (8 files) - Deployment commands (11 files) - Setup commands (14 files) - Performance commands (8 files) - Team commands (14 files) - Security commands (6 files) - NextJS/Vercel commands (10 files) - Sync commands (14 files) - And more across other categories 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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allowed-tools: Read, Write, Edit, WebSearch, Grep, Glob
argument-hint: [feature-description] | --research | --template | --validate
description: Create comprehensive Product Requirement Prompt (PRP) with research and validation
Create Product Requirement Prompt
Create comprehensive Product Requirement Prompt (PRP) following structured research process: $ARGUMENTS
PRP Foundation
- Base template: @concept_library/cc_PRP_flow/PRPs/base_template_v1
- PRP concept: @concept_library/cc_PRP_flow/README.md
- Existing PRPs: !
find concept_library/cc_PRP_flow/PRPs/ -name "*.md" | head -5 - Documentation: @ai_docs/ directory analysis
Task
Develop comprehensive PRP through systematic research and structured documentation:
Research Process:
- Documentation Review - Analyze existing ai_docs/ and project documentation
- Web Research - Gather implementation examples, library docs, and best practices
- Template Analysis - Study base_template_v1 structure and existing PRPs
- Codebase Exploration - Identify patterns, dependencies, and integration points
- Context Synthesis - Compile comprehensive implementation context
PRP Development:
- Follow base_template_v1 structure exactly
- Include specific file references and web resources
- Provide curated codebase intelligence
- Define clear validation criteria and success metrics
- Create production-ready implementation guide
Remember: PRP = PRD + curated codebase intelligence + agent/runbook—the minimum viable packet an AI needs to ship production-ready code on the first pass.