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- Henkisdabro
- Wookstar Claude Plugins
- Prp Generator
prp-generator_skill
- Python
30
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill henkisdabro/wookstar-claude-plugins --skill prp-generator- SKILL.md7.4 KB
Overview
This skill generates comprehensive Product Requirement Plans (PRPs) that enable an implementing agent to complete feature work in a single pass. It combines systematic codebase analysis with targeted external research and produces executable validation gates, measurable success criteria, and a confidence score. Use it when you need a detailed, implementation-ready blueprint rather than discovery or scope definition.
How this skill works
The skill reads the feature request and clarifies ambiguities before performing mandatory codebase analysis across similar features, architecture, coding conventions, tests, and configuration. It conducts external research for version-specific docs, examples, best practices, performance and security implications, and documents exact URLs and versions. After deep analysis, it fills a structured PRP template with metadata, technical specs, step-by-step implementation instructions, testing strategy, executable validation gates, and a quality score.
When to use it
- When the user requests a PRP, PRD, or a detailed implementation plan
- When planning a complex feature that needs an executable blueprint
- When you want one-pass implementation readiness with validation gates
- When a feature description file is provided and immediate implementation guidance is required
- When you need version-specific research and codebase-aligned recommendations
Best practices
- Always perform both codebase analysis and external research; neither is optional
- Include exact file paths and line ranges for similar code and integration points
- Specify exact package versions and document version-specific gotchas
- Provide executable validation gates (commands) and measurable success criteria
- Score the PRP for one-pass readiness and iterate if confidence < 7
Example use cases
- Add dark mode support with persistence and system preference handling
- Implement a new API-backed feature using existing backend patterns
- Migrate a component library to a specific version while preserving app conventions
- Add analytics tracking with exact GTM and GA patterns from the codebase
- Introduce a performance-sensitive feature with bundle and runtime impact analysis
FAQ
No. This skill assumes requirements are provided. Use a separate scope-clarifier process for discovery or requirements gathering.
What does a confidence score mean?
Confidence 1–10 rates one-pass implementation readiness. Scores below 7 require more research or context before delivery.