By Wirasm
Automate an entire PRP workflow loop — plan, implement, debug, review, commit, and PR — using specialized agents that execute plans, investigate issues, run multi-aspect code reviews, and enforce a review gate on session stop.
Research codebase questions using parallel agents - documents what exists, not what should change
**Target**: $ARGUMENTS
Deep root cause analysis - finds the actual cause, not just symptoms
Execute an implementation plan with rigorous validation loops
Implement a fix from investigation artifact - code changes, PR, and self-review
Reviews code for project guideline compliance, bugs, and quality issues. Use after writing code, before commits, or before PRs. Specify files to review or defaults to unstaged git changes. High-confidence issues only (80+) to minimize noise.
Identifies code simplification opportunities for clarity and maintainability while preserving exact functionality. Use after writing or modifying code. Focuses on recently changed code unless told otherwise. Reports findings with before/after suggestions. Advisory only - does not modify files or commit.
Use proactively to understand HOW code works. Analyzes implementation details, traces data flow, and documents technical workings with precise file:line references. The more specific your request, the better the analysis.
Comprehensive codebase exploration - finds WHERE code lives AND shows HOW it's implemented. Use when you need to locate files, understand directory structure, AND extract actual code patterns. Combines file finding with pattern extraction in one pass.
Analyzes code comments for accuracy, completeness, and long-term value. Use after generating documentation, before PRs with comment changes, or when auditing for comment rot. Verifies comments match actual code behavior. Advisory only - identifies issues, does not modify code.
Uses power tools
Uses Bash, Write, or Edit tools
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A collection of prompts for AI-assisted development with Claude Code.
https://www.youtube.com/watch?v=KVOZ9s1S9Gk&lc=UgzfwxvFjo6pKEyPo1R4AaABAg
Found value in these resources?
Buy me a coffee: https://coff.ee/wirasm
I spent a considerable amount of time creating these resources and prompts. If you find value in this project, please consider buying me a coffee to support my work.
Ready to move beyond toy demos to production-ready AI systems?
Book a workshop: https://www.rasmuswiding.com/
What you'll get:
Perfect for: Engineering teams, Product teams, and developers who want AI that actually works in production
Contact me directly at [email protected]
Product Requirement Prompt (PRP) = PRD + curated codebase intelligence + agent/runbook
The minimum viable packet an AI needs to ship production-ready code on the first pass.
A PRP supplies an AI coding agent with everything it needs to deliver a vertical slice of working software—no more, no less.
A traditional PRD clarifies what the product must do and why customers need it, but deliberately avoids how it will be built.
A PRP keeps the goal and justification sections of a PRD yet adds AI-critical layers:
# From your project root
cp -r /path/to/PRPs-agentic-eng/.claude/commands/prp-core .claude/commands/
git clone https://github.com/Wirasm/PRPs-agentic-eng.git
cd PRPs-agentic-eng
The .claude/commands/prp-core/ directory contains the core PRP workflow commands:
| Command | Description |
|---|---|
/prp-prd | Interactive PRD generator with implementation phases |
/prp-plan | Create implementation plan (from PRD or free-form input) |
/prp-implement | Execute a plan with validation loops |
| Command | Description |
|---|---|
/prp-issue-investigate | Analyze GitHub issue, create implementation plan |
/prp-issue-fix | Execute fix from investigation artifact |
/prp-debug | Deep root cause analysis with 5 Whys methodology |
| Command | Description |
|---|---|
/prp-commit | Smart commit with natural language file targeting |
/prp-pr | Create PR with template support |
/prp-review | Comprehensive PR code review |
| Command | Description |
|---|---|
/prp-ralph | Start autonomous loop until all validations pass |
/prp-ralph-cancel | Cancel active Ralph loop |
Based on Geoffrey Huntley's Ralph Wiggum technique - a self-referential loop that keeps iterating until the job is actually done.
/prp-ralph .claude/PRPs/plans/my-feature.plan.md --max-iterations 20
<promise>COMPLETE</promise> and exitsEach iteration, Claude sees its previous work in files and git history. It's not starting fresh - it's debugging itself.
The stop hook must be configured in .claude/settings.local.json:
{
"hooks": {
"Stop": [
{
"hooks": [
{
"type": "command",
"command": ".claude/hooks/prp-ralph-stop.sh"
}
]
}
]
}
}
# Create a plan
/prp-plan "add user authentication with JWT"
# Let Ralph loose
/prp-ralph .claude/PRPs/plans/add-user-auth.plan.md --max-iterations 20
npx claudepluginhub wirasm/prps-agentic-eng --plugin prp-coreAutonomous GitHub Project Management workflow with orchestrator-agent coordination for parallel task execution via git worktrees
Orchestration plugin. v1 use case: async development - turn ready issues into pull requests, then iterate on review feedback until a human takes over. Designed to host more orchestration use cases (refactoring, docs, audits) in future versions.
Development workflow automation including feature development, code quality, and PR management
AI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.
Autonomous development methodology: PRD interviews → agent execution → automated review
A plugin to help with Ralph's tasks