prp-generator

REVIEW · 69
Registry indexed

Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research, identifies patterns, a

Verified installs0
Stars83
Version1.0.0
Quality66/100 · Promising
Trust69/100 · Sandbox only
Audit80/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator

Maintenance

fresh

1d since push

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

83

66/100 Quality · 77/100 Trust

Coverage tags

ResearchResearch agentsagent-skill

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
66

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
69

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
80

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

83 GitHub stars

Repo activity

83 stars, 11 forks

Maintenance

1d since push

License

MIT

Install

npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 83 GitHub stars
  • Stars/forks activity: 83 stars, 11 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator
Policy
review
Human review
yes

Trust and risk

Trust
69/100
Audit
80/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.

Agent safety v2

60/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Financial research output is not financial advice; require human review before any live investment decision

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install henkisdabro-prp-generator

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use prp-generator in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20prp-generator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/henkisdabro-prp-generator/install
Install command: npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use prp-generator for this task. Review https://www.openagentskill.com/api/skills/henkisdabro-prp-generator/install, then install with: npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

67/100

Research agents

Platforms

Claude Code

Audit report

Needs review · 80/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

67
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Research agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 66/100 quality profile
  • 5 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

69
OpenAgentSkill Trust Score

GitHub adoption

CHECK

83 GitHub stars

Stars/forks activity

CHECK

83 stars, 11 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 83 GitHub stars
  • Stars/forks activity: 83 stars, 11 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

66
GitHub stars
83
Freshness
1d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: prp-generator description: Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research, identifies patterns, and creates executable validation gates for one-pass implementation success. Do NOT use for client discovery, requirements gathering, or scope definition - those need a separate clarification pass before the PRP step. ---

# PRP Generator

## Overview

Generates comprehensive Product Requirement Plans (PRPs) that enable AI agents to implement features in a single pass. Combines systematic codebase analysis with external research to create detailed, context-rich implementation blueprints.

## When to Use

- User requests a PRP, PRD, or detailed implementation plan - User asks to "plan out" or "design" a complex feature - Beginning significant feature development that benefits from structured planning - User provides a feature description file and asks for implementation guidance

## Core Principle

**Context is Everything**: The implementing agent only receives the PRP content, training data knowledge, codebase access, and WebSearch. Your PRP must be self-contained with all necessary context, specific references, and executable validation gates.

## Workflow

### Phase 1: Understand the Feature

1. **Read the feature request** - if a file path is given, read it completely; if verbal, clarify requirements 2. **Clarify ambiguities** - use AskUserQuestion for unclear requirements, confirm tech stack, verify integration points 3. **Identify the core problem** being solved and acceptance criteria

### Phase 2: Codebase Analysis (Mandatory)

**Goal**: Understand existing patterns, conventions, and integration points.

Systematically analyse the codebase across five dimensions:

| Area | What to Capture | |------|----------------| | Similar features | File paths, line numbers, code snippets, adaptations needed | | Architecture | Directory conventions, component organisation, state management, API patterns | | Coding conventions | TypeScript usage, component patterns, styling, import ordering, naming | | Test patterns | Framework, file naming, mock strategies, coverage expectations | | Configuration | Dependencies, build setup, path aliases, TypeScript settings |

For detailed sub-steps, examples, and documentation templates, see [references/codebase-analysis-guide.md](references/codebase-analysis-guide.md).

Also refer to [references/research_methodology.md](references/research_methodology.md) for the full research process.

### Phase 3: External Research (Mandatory)

**Goal**: Find best practices, documentation, examples, and gotchas.

Research across four areas:

| Area | Key Actions | |------|------------| | Library documentation | Find official docs for the SPECIFIC version from package.json; note version-specific gotchas | | Implementation examples | Search GitHub, StackOverflow, official examples; prefer recent, production-grade code | | Best practices | Search "[technology] best practices [current year]"; check OWASP for security | | Performance and security | Bundle size implications, runtime patterns, vulnerabilities, accessibility |

Always document exact URLs, versions, and specific sections. See [references/research_methodology.md](references/research_methodology.md) for detailed guidance.

### Phase 4: Ultra-Thinking (Critical)

**STOP AND THINK DEEPLY BEFORE WRITING THE PRP.**

Analyse integration points, implementation ordering, validation strategy, and context completeness. Verify the PRP will enable one-pass implementation without questions.

For the full set of analysis questions and the quality checklist, see [references/quality-assessment.md](references/quality-assessment.md).

### Phase 5: Generate the PRP

Use [assets/prp_template.md](assets/prp_template.md) as the base structure. Populate all sections:

1. **Metadata** - feature name, timeline, confidence score (1-10), date 2. **Executive Summary** - 2-3 sentences with core value proposition 3. **Research Findings** - codebase analysis (file:line refs) and external research (URLs, versions) 4. **Technical Specification** - architecture, components, data models, API endpoints 5. **Implementation Blueprint** - prerequisites, step-by-step with pseudocode, file changes, error handling, edge cases 6. **Testing Strategy** - unit, integration, and manual testing approaches 7. **Validation Gates** - must be EXECUTABLE commands (e.g. `npm run test && npm run build`) 8. **Success Criteria** - clear, measurable checklist

### Phase 6: Quality Scoring

Score the PRP for one-pass implementation success:

| Score | Meaning | |-------|---------| | 9-10 | Exceptionally detailed, all context included, clear path, executable gates | | 7-8 | Very good, minor gaps, mostly clear implementation path | | 5-6 | Adequate, some ambiguity, may require clarification | | 3-4 | Incomplete research, missing context, unclear path | | 1-2 | Insufficient for implementation |

**If score is below 7**: Go back and improve the PRP before delivering.

### Phase 7: Save and Deliver

1. **Save** the PRP to `PRPs/[feature-name].md` (kebab-case, create directory if needed) 2. **Deliver summary** to user with: brief feature summary, file location, confidence score with rationale, and next steps

## Common Pitfalls

| Pitfall | Bad | Good | |---------|-----|------| | Vague references | "There's a similar component somewhere" | "See UserProfile at src/components/UserProfile.tsx:45-67" | | Missing versions | "Use React Query" | "Use @tanstack/react-query v5.28.0" | | Non-executable gates | "Run tests and make sure they pass" | `npm run test && npm run build` | | Generic advice | "Follow React best practices" | "Use named exports (see src/components/Button.tsx:1)" | | Incomplete research | Skipping codebase analysis | Thoroughly document existing patterns | | Missing gotchas | Assuming smooth implementation | Document known issues and edge cases |

## Example Usage

**User**: "Create a PRP for adding dark mode support to the application"

1. Clarify: "Should dark mode preference persist across sessions? Should it respect system preferences?" 2. Research codebase for theme-related code 3. Research external resources (dark mode best practices, library options) 4. Ultra-think about implementation approach 5. Generate comprehensive PRP using template 6. Score the PRP 7. Save to `PRPs/dark-mode-support.md` 8. Deliver summary with confidence score

## Resources

| Resource | Description | |----------|------------| | [assets/prp_template.md](assets/prp_template.md) | Base template for all PRPs | | [references/research_methodology.md](references/research_methodology.md) | Detailed research guidance and best practices | | [references/codebase-analysis-guide.md](references/codebase-analysis-guide.md) | Detailed codebase analysis sub-steps and examples | | [references/quality-assessment.md](references/quality-assessment.md) | Ultra-thinking analysis questions and quality checklist |

## Key Reminders

- **Research is mandatory** - never skip codebase or external research - **Be specific** - always include file paths, line numbers, URLs, versions - **Think deeply** - Phase 4 (Ultra-Thinking) is critical for success - **Validate everything** - all validation gates must be executable - **Score honestly** - if confidence is below 7, improve the PRP - **Context is king** - the implementer only has what you put in the PRP

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 21, 2026
Published
Aug 21, 2026

Decision snapshot

Fallback candidate

67
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

80
Needs review
Security
85/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for prp-generator, ready for a manual X post.

Curator note
prp-generator: Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thoro...

83 stars

https://www.openagentskill.com/skills/henkisdabro-prp-generator?ref=x
Open X draft
Optional reply with install command
Listing + install path for prp-generator:
https://www.openagentskill.com/skills/henkisdabro-prp-generator?ref=x

Install: npx skills add henkisdabro/wookstar-claude-plugins --skill prp-generator

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to henkisdabro but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/henkisdabro-prp-generator?metric=listed&label=Listed)](https://www.openagentskill.com/skills/henkisdabro-prp-generator)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/henkisdabro-prp-generator?metric=trust&label=Trust)](https://www.openagentskill.com/skills/henkisdabro-prp-generator)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/henkisdabro-prp-generator?metric=audit&label=Audit)](https://www.openagentskill.com/skills/henkisdabro-prp-generator/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/henkisdabro-prp-generator?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/henkisdabro-prp-generator)

Author

H

henkisdabro

@henkisdabro

Platform fit

Health signals

GitHub stars
83
Quality score
37/100
Last GitHub push
Aug 21, 2026
Framework hints
Unknown
OpenAgentSkill views
5
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

69
  • GitHub adoption83 GitHub starsCHECK
  • Stars/forks activity83 stars, 11 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance1d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime risknetwork or browser surfacePASS