mcaf-nfr — for Claude Code mcaf-nfr, MCPGateway, community, for Claude Code, ide skills, ai-extensions, ai-tools, csharp, dotnet, embeddings

v1.0.0

Acerca de este Skill

Escenario recomendado: Ideal for AI agents that need mcaf: non-functional requirements. Resumen localizado: Run this skill's Workflow through the Ralph Loop until outcomes are acceptable. It covers ai-extensions, ai-tools, csharp workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Características

MCAF: Non-Functional Requirements
a feature or architecture change needs explicit quality attributes
a team is using vague words like "fast", "reliable", or "secure" without measurable meaning
docs, ADRs, and tests are out of sync on quality expectations
produce a concrete project delta: code, docs, config, tests, CI, or review artifact

# Core Topics

managedcode managedcode
[1]
[0]
Updated: 4/16/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
60
Canonical Locale
en
Detected Body Locale
en

Escenario recomendado: Ideal for AI agents that need mcaf: non-functional requirements. Resumen localizado: Run this skill's Workflow through the Ralph Loop until outcomes are acceptable. It covers ai-extensions, ai-tools, csharp workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

¿Por qué usar esta habilidad?

Recomendacion: mcaf-nfr helps agents mcaf: non-functional requirements. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable. This AI agent skill supports Claude Code, Cursor, and Windsurf

Mejor para

Escenario recomendado: Ideal for AI agents that need mcaf: non-functional requirements.

Casos de uso accionables for mcaf-nfr

Caso de uso: Applying MCAF: Non-Functional Requirements
Caso de uso: Applying a feature or architecture change needs explicit quality attributes
Caso de uso: Applying a team is using vague words like "fast", "reliable", or "secure" without measurable meaning

! Seguridad y limitaciones

  • Limitacion: a feature or architecture change needs explicit quality attributes
  • Limitacion: Use only the specific reference files that match the active quality attribute.
  • Limitacion: Repeat until outcomes are acceptable or only explicit exceptions remain.

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is mcaf-nfr?

Escenario recomendado: Ideal for AI agents that need mcaf: non-functional requirements. Resumen localizado: Run this skill's Workflow through the Ralph Loop until outcomes are acceptable. It covers ai-extensions, ai-tools, csharp workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install mcaf-nfr?

Run the command: npx killer-skills add managedcode/MCPGateway/mcaf-nfr. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for mcaf-nfr?

Key use cases include: Caso de uso: Applying MCAF: Non-Functional Requirements, Caso de uso: Applying a feature or architecture change needs explicit quality attributes, Caso de uso: Applying a team is using vague words like "fast", "reliable", or "secure" without measurable meaning.

Which IDEs are compatible with mcaf-nfr?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for mcaf-nfr?

Limitacion: a feature or architecture change needs explicit quality attributes. Limitacion: Use only the specific reference files that match the active quality attribute.. Limitacion: Repeat until outcomes are acceptable or only explicit exceptions remain..

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add managedcode/MCPGateway/mcaf-nfr. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use mcaf-nfr immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

mcaf-nfr

Run this skill's Workflow through the Ralph Loop until outcomes are acceptable. It covers ai-extensions, ai-tools, csharp workflows. This AI agent skill

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

MCAF: Non-Functional Requirements

Trigger On

  • a feature or architecture change needs explicit quality attributes
  • a team is using vague words like "fast", "reliable", or "secure" without measurable meaning
  • docs, ADRs, and tests are out of sync on quality expectations

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • generic architecture or feature writing with no quality-attribute decision
  • loading all NFR references at once

Inputs

  • the changed feature, boundary, or rollout path
  • the quality attributes that materially affect it
  • current docs, ADRs, tests, and ops expectations

Quick Start

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

Workflow

  1. Decide which quality attributes materially affect the change.
  2. Turn vague goals into explicit requirements, constraints, or testable expectations.
  3. Link NFRs to feature docs, ADRs, and verification when they affect design or rollout.
  4. Use only the specific reference files that match the active quality attribute.

Deliver

  • explicit NFRs for the changed area
  • docs or ADRs that describe measurable quality attributes
  • better alignment between architecture, testing, and operations

Validate

  • each chosen NFR is measurable or at least falsifiable
  • the selected attributes are the ones that actually drive design trade-offs
  • verification and operational expectations are linked where needed

Ralph Loop

Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

  1. Plan first (mandatory):
    • analyze current state
    • define target outcome, constraints, and risks
    • write a detailed execution plan
    • list final validation skills to run at the end, with order and reason
  2. Execute one planned step and produce a concrete delta.
  3. Review the result and capture findings with actionable next fixes.
  4. Apply fixes in small batches and rerun the relevant checks or review steps.
  5. Update the plan after each iteration.
  6. Repeat until outcomes are acceptable or only explicit exceptions remain.
  7. If a dependency is missing, bootstrap it or return status: not_applicable with explicit reason and fallback path.

Required Result Format

  • status: complete | clean | improved | configured | not_applicable | blocked
  • plan: concise plan and current iteration step
  • actions_taken: concrete changes made
  • validation_skills: final skills run, or skipped with reasons
  • verification: commands, checks, or review evidence summary
  • remaining: top unresolved items or none

For setup-only requests with no execution, return status: configured and exact next commands.

Load References

  • pick only the exact file for the active NFR: accessibility, reliability, performance, scalability, compliance, maintainability, and so on

Example Requests

  • "Make the non-functional requirements explicit for this feature."
  • "Turn vague reliability goals into real constraints."
  • "Document performance and compliance expectations for this service."

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