Nw Par Critique Dimensions logo

Nw Par Critique Dimensions

Organization
nWave-ai
nw-par-critique-dimensions

Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.

Overview

PublishernWave-ai
RepositorynWave
Skill namenw-par-critique-dimensions
Stars
616
Forks
65
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nWave-ai on GitHub. Read the source before you install it.

Installation

Install the Nw Par Critique Dimensions AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-par-critique-dimensions
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nWave-ai/nWave.git /tmp/nWave
mkdir -p .claude/skills
cp -r /tmp/nWave/nWave/skills/nw-par-critique-dimensions .claude/skills/nw-par-critique-dimensions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nw Par Critique Dimensions in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nw Par Critique Dimensions on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nw Par Critique Dimensions is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Platform Design Critique Dimensions

Dimension 1: CI/CD Pipeline Completeness

Questions: All stages defined (commit, acceptance, capacity, production)? Quality gates explicit with pass/fail criteria? Parallelization used? Failure recovery/retry documented? Commit stage < 10 min, acceptance < 30 min?

Blocker: Missing critical stage (no acceptance tests) | no quality gates | no security scanning. Critical: Pipeline > 30 min without parallelization | no failure notification | missing artifact versioning. High: No caching strategy | incomplete environment parity | missing matrix testing. Medium: Inconsistent naming | missing documentation for manual steps.

Dimension 2: Infrastructure as Code Quality

Questions: Infrastructure fully codified? Modules reusable and parameterized? State management secure (encrypted, locked)? Security best practices (least privilege, encryption)? Idempotent and reproducible?

Blocker: Secrets in version control | no state management | production credentials in code. Critical: No encryption at rest | overly permissive IAM | missing network security. High: Hardcoded values | missing resource tagging | no cost estimation. Medium: Inconsistent module structure | missing input variable validation.

Dimension 3: Deployment Strategy Risk

Questions: Strategy appropriate for risk profile? Rollback documented? Health checks and readiness probes defined? Gradual traffic shifting with automatic rollback? Database migrations backward compatible?

Blocker: No rollback strategy | no health checks | breaking changes without safeguards. Critical: Single-shot deployment for critical services | no canary/blue-green for high-traffic | missing pod disruption budgets. High: Rollback not tested | no gradual traffic shifting | no pre-deployment validation. Medium: Incomplete manual step documentation | no feature flags for risky features.

Dimension 4: Observability and SLO Alignment

Questions: SLOs defined with specific targets? All four golden signals monitored? Distributed tracing configured? Alerts SLO burn-rate based? Dashboards for investigation?

Blocker: No SLOs defined | no error rate monitoring | no alerting strategy. Critical: No latency monitoring (p50/p90/p99) | symptom-based alerts | no log-metric-trace correlation. High: Incomplete metric coverage | alert thresholds misaligned with SLOs | no runbook links. Medium: Unclear dashboard organization | missing error budget tracking.

Dimension 5: Pipeline and Infrastructure Security

Questions: SAST in commit stage? DAST before production? SCA configured? Secrets management using external vault? SBOM generated and signed?

Blocker: No security scanning | secrets in env vars or code | no container image scanning. Critical: Missing SAST in CI | no dependency vulnerability scanning | missing K8s network policies. High: No DAST before production | no SBOM generation | no image signing. Medium: Security scan results not blocking deployment | no license compliance.

Dimension 6: DORA Metrics Enablement

Questions: Design enables multiple deployments/day? Lead time < 1 hour achievable? Change failure rate tracking in place? Time to restore measurable with SLOs?

Critical: Manual steps preventing daily deployments | no automated testing for fast feedback | no deployment failure tracking. High: Pipeline > 1 hour for full deployment | no post-deployment validation | missing deployment frequency metrics.

Dimension 7: Priority and Constraint Validation

Questions: Design addresses largest bottleneck first? Simpler alternatives documented and rejected with evidence? Constraint prioritization correct? Complexity justified?

Critical: Design addresses secondary concern while larger exists | no measurement data | simple alternatives not documented. High: Constraint prioritization not explicit | over-engineered for stated requirements.

Frequently asked questions

What does the Nw Par Critique Dimensions AI skill do?

Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.

Why use Nw Par Critique Dimensions on TypingMind?

Because you install it once and use it with any model. Nw Par Critique Dimensions is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nw Par Critique Dimensions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-par-critique-dimensions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nw Par Critique Dimensions?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nw Par Critique Dimensions?

As many as you like. As long as a model supports skills, you can use Nw Par Critique Dimensions with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nw Par Critique Dimensions AI skill free?

Yes. It is published on GitHub by nWave-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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