Nw Production Readiness

Organization

nWave-ai

nw-production-readiness

Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.

Overview

Publisher	nWave-ai
Repository	`nWave`
Skill name	`nw-production-readiness`
Stars	616
Forks	65
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 Production Readiness AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-production-readiness
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.

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-production-readiness .claude/skills/nw-production-readiness

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nw Production Readiness 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 Production Readiness 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 Production Readiness 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.

Production Readiness

Monitoring and Observability

Application Monitoring

Performance: response time | throughput | latency percentiles (P50, P95, P99)
Resources: CPU | memory | database connections | cache hit rates
Errors: exception tracking | error rate trends | integration failure detection
Business: KPI tracking | conversion funnels | feature usage | revenue impact

Infrastructure Monitoring

Server/container health and resource utilization | Network performance and connectivity | Storage capacity and I/O performance | Security event detection.

Alerting Tiers

Tier	Condition	Response
Page	Service down, data loss risk, security breach	Immediate response
Urgent	Error rate >2x baseline, latency SLA breach	Response within 15 min
Warning	Capacity >80%, error rate trending up	Response within 1 hour
Info	Deployment complete, metric threshold crossed	Review next business day

Operational Procedures

Incident Response

Detect: automated alerting identifies issue
Triage: classify severity, assign responder
Communicate: notify stakeholders per severity level
Resolve: apply fix or rollback
Review: post-incident review within 48 hours
Improve: update runbooks and monitoring based on findings

Maintenance Procedures

Regular update and patching schedule | Backup verification (test restores quarterly) | Security vulnerability scanning (automated, weekly) | Performance baseline recalibration (after major changes).

Knowledge Transfer

Operational runbooks for common procedures | Architecture documentation with system diagrams | Deployment procedures and configuration management | Troubleshooting guides for known failure modes.

Quality Gates for Production Readiness

Before declaring production-ready, all must pass:

For CI/CD architecture lessons and measurement coupling pitfalls, see cicd-and-deployment skill.

Frequently asked questions

What does the Nw Production Readiness AI skill do?

Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.

Why use Nw Production Readiness on TypingMind?

Because you install it once and use it with any model. Nw Production Readiness 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 Production Readiness in TypingMind?

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

Which AI models can use Nw Production Readiness?

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 Production Readiness?

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

Is the Nw Production Readiness 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Production Readiness

Monitoring and Observability

Application Monitoring

Infrastructure Monitoring

Alerting Tiers

Operational Procedures

Incident Response

Maintenance Procedures

Knowledge Transfer

Quality Gates for Production Readiness

Frequently asked questions

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