Agent skill
mcaf-nfr
Capture or refine non-functional requirements such as accessibility, reliability, scalability, maintainability, performance, and compliance. Use when a feature or architecture change needs explicit quality attributes and trade-offs.
Install this agent skill to your Project
npx add-skill https://github.com/managedcode/MCAF/tree/main/skills/mcaf-nfr
SKILL.md
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
- Read the nearest
AGENTS.mdand confirm scope and constraints. - Run this skill's
Workflowthrough theRalph Loopuntil outcomes are acceptable. - Return the
Required Result Formatwith concrete artifacts and verification evidence.
Workflow
- Decide which quality attributes materially affect the change.
- Turn vague goals into explicit requirements, constraints, or testable expectations.
- Link NFRs to feature docs, ADRs, and verification when they affect design or rollout.
- 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.
- Brainstorm first (mandatory):
- analyze current state
- define the problem, target outcome, constraints, and risks
- generate options and think through trade-offs before committing
- capture the recommended direction and open questions
- Plan second (mandatory):
- write a detailed execution plan from the chosen direction
- list final validation skills to run at the end, with order and reason
- Execute one planned step and produce a concrete delta.
- Review the result and capture findings with actionable next fixes.
- Apply fixes in small batches and rerun the relevant checks or review steps.
- Update the plan after each iteration.
- Repeat until outcomes are acceptable or only explicit exceptions remain.
- If a dependency is missing, bootstrap it or return
status: not_applicablewith explicit reason and fallback path.
Required Result Format
status:complete|clean|improved|configured|not_applicable|blockedplan: concise plan and current iteration stepactions_taken: concrete changes madevalidation_skills: final skills run, or skipped with reasonsverification: commands, checks, or review evidence summaryremaining: top unresolved items ornone
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."
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
mcaf-architecture-overview
Create or update `docs/Architecture.md` as the global architecture map for a solution. Use when bootstrapping a repo, onboarding, or changing modules, boundaries, or contracts. Keep it navigational and use `references/overview-template.md` for scaffolding.
mcaf-human-review-planning
Plan a human review for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest boundaries, and prioritizing the files a human should inspect first. Use when the codebase is too large to review line-by-line and you need a practical review sequence plus a prioritized file list.
mcaf-documentation
Create or refine durable engineering documentation: docs structure, navigation, source-of-truth placement, and writing quality. Use when a repo’s docs are missing, stale, duplicated, or hard to navigate, or when adding new durable engineering guidance.
mcaf-observability
Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Use when a change affects runtime visibility, failure diagnosis, SLOs, or alerting.
mcaf-agile-delivery
Shape delivery workflow around backlog quality, roles, ceremonies, and engineering feedback. Use when defining how the team plans, tracks work, and turns feedback into durable improvements.
mcaf-solid-maintainability
Apply SOLID, SRP, cohesion, composition-over-inheritance, and small-file discipline to code changes. Use when refactoring large files or classes, setting maintainability limits in `AGENTS.md`, documenting justified exceptions, or reviewing design quality.
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