How is quality ensured during the authoring process?

The skill performs quality checks to eliminate vague language, validates requirements against a JSON schema, and ensures every requirement is linked to an upstream business objective.

How does this skill handle requirement IDs?

It assigns a permanent ID in the format REQ-YYYY-NNN. These IDs are never reused; even if a requirement is deferred or rejected, it retains its ID with an updated status for full traceability.

What format are the acceptance criteria in?

All acceptance criteria are authored using the 'Given [precondition], when [action], then [outcome]' format to ensure they are measurable and testable.

Does it support AI-specific requirements?

Yes, it includes specialized fields for AI/ML behaviors, such as precision/recall thresholds, fallback logic, and mandatory references to test datasets.

Can I use this for Non-Functional Requirements (NFRs)?

Absolutely. The skill mandates that NFRs (like security or performance) include specific numeric targets and a stated test approach, such as load testing or compliance audits.

Requirement Authoring

Name: Requirement Authoring
Author: nsalvacao

bynsalvacao

0•

Collaboration Tools

Standardizes the authoring, review, and validation of functional, non-functional, and AI requirements within waterfall lifecycles.

This skill enforces professional-grade requirement engineering by guiding Claude to generate, document, and validate specifications using industry-standard frameworks. It implements a strict lifecycle for requirements—from initial elicitation to baseline freeze—incorporating permanent ID assignment (REQ-YYYY-NNN), MoSCoW prioritization, and SMART criteria enforcement. Specifically designed for structured environments, it includes specialized templates for AI-specific constraints and Non-Functional Requirements (NFRs), ensuring every entry is unambiguous, measurable, and ready for technical implementation or auditing.

Key Features

01Schema-based validation to ensure traceability and audit readiness

020 GitHub stars

03Structured Given/When/Then acceptance criteria generation

04Automated REQ-YYYY-NNN ID assignment and permanent tracking

05Specialized templates for AI model thresholds and NFR performance targets

06SMART criteria enforcement for unambiguous and measurable requirements

Use Cases

01Authoring baseline-ready requirements for regulated or enterprise waterfall projects

02Defining measurable AI performance thresholds and fallback behaviors

03Validating existing documentation against quality gates for testability and completeness

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nsalvacao/nsalvacao-claude-code-plugins requirement-authoring

For use in Claude.ai and ChatGPT

Key Features

01Schema-based validation to ensure traceability and audit readiness

020 GitHub stars

03Structured Given/When/Then acceptance criteria generation

04Automated REQ-YYYY-NNN ID assignment and permanent tracking

05Specialized templates for AI model thresholds and NFR performance targets

06SMART criteria enforcement for unambiguous and measurable requirements

Use Cases

01Authoring baseline-ready requirements for regulated or enterprise waterfall projects

02Defining measurable AI performance thresholds and fallback behaviors

03Validating existing documentation against quality gates for testability and completeness

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nsalvacao/nsalvacao-claude-code-plugins requirement-authoring

For use in Claude.ai and ChatGPT