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ai
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cli-tools
333

building-clis

Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Use when creating developer tools, automation scripts, or infrastructure management CLIs with robust argument parsing, interactive features, and multi-platform distribution.

ancoleman
ancoleman
tools
open
domain-utilities
333

managing-dns

Manage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DNS, Cloudflare).

ancoleman
ancoleman
tools
open
knowledge-base
332

disabling-services

Hides or disables a service from the documentation listing while preserving the page for SEO and bookmarks. Use when deprecating services, marking services unavailable, adding disabled:true to List.vue, or adding warning callouts to service pages. Keeps docs/services/ pages accessible via direct URL.

coollabsio
coollabsio
documentation
open
smart-contracts
332

nw-operational-safety

Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations

nWave-ai
nWave-ai
blockchain
open
design
332

nw-diagram

Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.

nWave-ai
nWave-ai
content-media
open
data-analysis
332

nw-interviewing-techniques

Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design

nWave-ai
nWave-ai
data-ai
open
data-engineering
332

walkeros-understanding-transformers

Use when working with walkerOS transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.

elbwalker
elbwalker
data-ai
open
data-engineering
332

nw-command-design-patterns

Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence

nWave-ai
nWave-ai
data-ai
open
data-engineering
332

nw-data-architecture-patterns

Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns

nWave-ai
nWave-ai
data-ai
open
data-engineering
332

nw-database-technology-selection

Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics

nWave-ai
nWave-ai
data-ai
open
data-engineering
332

nw-deliver

Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.

nWave-ai
nWave-ai
data-ai
open
data-engineering
332

nw-devops

Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.

nWave-ai
nWave-ai
data-ai
open
data-engineering
332

nw-divio-framework

DIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog

nWave-ai
nWave-ai
data-ai
open
data-engineering
332

nw-research-methodology

Research output templates, distillation workflow, and quality standards for evidence-driven research

nWave-ai
nWave-ai
data-ai
open
machine-learning
332

nw-five-whys-methodology

Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques

nWave-ai
nWave-ai
data-ai
open
machine-learning
332

nw-fp-clojure

Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec

nWave-ai
nWave-ai
data-ai
open
machine-learning
332

nw-fp-fsharp

F# language-specific patterns, Railway-Oriented Programming, and Computation Expressions

nWave-ai
nWave-ai
data-ai
open
machine-learning
332

nw-pbt-stateful

Stateful property-based testing patterns, model-based testing, and anti-patterns

nWave-ai
nWave-ai
data-ai
open
machine-learning
332

nw-sd-framework

4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls

nWave-ai
nWave-ai
data-ai
open
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