quinotospec-create-prd

quinotospec-create-prd is a skill for Claude Code, Codex from Quinoto-Tech/QuinotoSpec. It costs 28 tokens per session (1,239 once invoked), scanned A, original, MIT.

A workflow for creating a PRD, or Product Requirements Document: a living document that explains a product idea, its users, and the problem it should solve.

In plain words
What is it for?
Use it to research a product topic, review existing project context and proposals, and create a structured PRD in the project.
Why use it?
It helps validate a product idea and understand user problems before committing development time and resources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to research a product topic, review existing project context and proposals, and create a structured PRD in the project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quinoto-tech/quinotospec/quinotospec-create-prd
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Quinoto-Tech/QuinotoSpec --skill quinotospec-create-prd
Clone the repo
git clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpec

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for quinotospec-create-prd

README.md
[![agentmods](https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-create-prd/github.svg)](https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-create-prd)
Your own site
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-create-prd"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-create-prd/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for quinotospec-create-prd

Your own site · 80×15
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-create-prd"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-create-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,239 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.01239
Opus 5 $0.00014 $0.00620
Sonnet 5 $0.00006 $0.00248
Haiku 4.5 $0.00003 $0.00124

Measured 12d ago against content hash 6141660d2787, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

quinotospec-create-prd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agent-dist/skills/quinotospec-create-prd/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow: Create PRD

Este workflow te guía en la creación de un Product Requirements Document (PRD) estructurado para validar ideas de producto antes de comprometer recursos de desarrollo. El PRD es un documento vivo que evoluciona durante la sesión de trabajo.

Inputs obligatorios:

  • PRD_TOPIC: El tema, problema o oportunidad de producto a documentar.
  • PRD_AUDIENCE: Audience principal del producto (ej. "desarrolladores B2B", "usuarios finales", "equipos internos").

Flujo de Trabajo:

  1. Contextualización

    • Revisa .quinoto-spec/discovery/ para entender el contexto del proyecto
    • Especialmente 08-product-and-agreements.md para visión de producto y acuerdos existentes
    • Si no existe discovery, ejecuta /quinotospec.discovery primero
  2. Exploración del Topic

    • Investiga qué existe actualmente relacionado con {{PRD_TOPIC}}
    • Identifica douleur points actuales del usuario
    • Busca features o documentos relacionados en .quinoto-spec/proposals/
  3. Generación del PRD

    • Crea directorio .quinoto-spec/prd/{{SLUG}}/
    • Genera prd.md con la siguiente estructura:

PRD.md Structure

---
prd_id: {{PRD_ID}}
topic: {{PRD_TOPIC}}
audience: {{PRD_AUDIENCE}}
created_date: {{DATE}}
status: 🟡 Draft
version: 0.1
---

# Product Requirements Document: {{PRD_NAME}}

## 1. Resumen Ejecutivo
- Problema/Oportunidad identificados
- Propuesta de valor concise
- Impacto esperado (cuantificado si posible)

## 2. User Personas
| Persona | Descripción | Necesidades | Pain Points |
|---------|-------------|-------------|-------------|
|         |             |             |             |

## 3. Problem Statement
- **陈述 del Problema**: Descripción clara del problema
- **Contexto**: Cuándo, dónde, cómo ocurre
- **Impacto**: Cuantificación del dolor (tiempo, dinero, conversión)

## 4. Goals & Objectives
| Objetivo | Métrica | Target | Timeline |
|----------|---------|--------|----------|
|          |         |        |          |

## 5. Feature Requirements

### 5.1 Core Features
| Feature | Descripción | Prioridad | Estimación |
|---------|-------------|-----------|------------|
|         |             | P0/P1/P2  |            |

### 5.2 Secondary Features
| Feature | Descripción | Prioridad | Estimación |
|---------|-------------|-----------|------------|
|         |             | P0/P1/P2  |            |

### 5.3 Out of Scope
- Lista de features explícitamente excluidas

## 6. User Stories

### Must Have
- **COMO** [persona]
- **QUIERO** [功能]
- **PARA** [beneficio]
- **CRITERIOS DE ACEPTACIÓN**:
  - [ ] Given... When... Then...

### Should Have
- ...

## 7. User Flows
- Diagramas de flujo en Mermaid mostrando flujos principales
- Happy path y edge cases

## 8. Technical Considerations
- Constraints técnicos identificados
- Integraciones necesarias
- Dependencias externas
- Consideraciones de compliance/seguridad

## 9. Metrics & Success Criteria
| KPI | Baseline | Target | Measurement |
|-----|----------|--------|-------------|
|     |          |        |             |

## 10. Risks & Open Questions
| Riesgo/Pregunta | Impacto | Status |
|-----------------|---------|--------|
|                 |         | 🔴 Open |

## 11. Competitive Analysis (opcional)
- Productos competidores
- Diferenciadores propuestos

## 12. Appendices
- Research links
- Meeting notes
- Feedback collected

---

## 13. Validation Checklist
- [ ] Al menos 3 user personas definidas
- [ ] Al menos 5 user stories (2 Must Have, 2 Should Have, 1 Could Have)
- [ ] KPIs con baseline y target
- [ ] User flow diagramado
- [ ] Review interno completado

Read the full file on GitHub · 148 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 148 lines · 28 tokens per session scan A 6141660d2787

Subscribe to this mod's changes

quinotospec-create-prd is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (20 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,239 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens