pm-spec

Transform high-level feature descriptions into structured specs with acceptance criteria.

1|Updated Jun 26, 2025
One-click install
npx skills add https://github.com/Docaari/GrindfyManager --skill pm-spec-docaari
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-spec
Source: https://github.com/Docaari/GrindfyManager/tree/main/.claude/skills/pm-spec
Command: npx skills add https://github.com/Docaari/GrindfyManager --skill pm-spec-docaari

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gera especificações estruturadas de features a partir de descrições de alto nível. Transforma ideias vagas em documentos acionáveis que outros agentes consomem. Invoque SEMPRE ao iniciar qualquer feature nova, quando o usuário descrever uma funcionalidade que precisa ser planejada, quando alguém disser 'quero criar', 'preciso de uma feature', vamos construir', ou qualquer variação de pedido de nova funcionalidade. Também invoque quando precisar decompor um requisito grande em partes menores. NÃO use para tarefas de implementação, review de código ou deploy.

Core Features & Use Cases

  • Coleta de contexto e alinhamento de objetivos antes da escrita da spec.
  • Decomposição de features grandes em sub-itens independentes e testáveis.
  • Escrita da Spec com RFs, critérios de aceitação e cenários de teste claros.
  • Validação e recomendação de próximos passos ao concluir a spec.

Quick Start

Descreva brevemente a feature desejada para que o PM-Spec inicie a geração da especificação.

Frequently Asked Questions about pm-spec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn vague feature ideas into actionable specs for AI agents?

To turn vague ideas into actionable specs, you provide a high-level feature description to trigger a guided interview that captures context, decomposes requirements, and outputs a structured document with acceptance criteria and test scenarios.

What is the best way to decompose large requirements into independent testable sub-features?

Decomposing large requirements into testable sub-features involves conducting a contextual interview to break down the initial description, ensuring each sub-item remains independent and clearly defined before generating the final specification.

How do I write a feature specification with clear acceptance criteria and test scenarios?

Writing a feature specification with acceptance criteria and test scenarios requires gathering high-level descriptions and objectives, then structuring that context into a complete document formatted specifically for AI agents to consume.

Does this specification tool propose code or architectural choices during the interview?

This specification tool does not propose code or architectural choices. It strictly focuses on capturing context, decomposing requirements, and defining acceptance criteria and test scenarios for your features.

When should I use a requirements decomposition workflow instead of direct code implementation?

You should use a requirements decomposition workflow when initiating any new feature or when needing to break down a large request into smaller parts, rather than for tasks involving actual code implementation, code review, or deployment.