Atlas / Skills / nwave-ai / Nw Design Patterns

Nw Design PatternsSAFE

skills/nwave-ai/nw-design-patterns

AI agents that guide you from idea to working code, with you in control at every step.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
617
01

Overview

AI agents that guide you from idea to working code, with you in control at every step.

Read from source at commit 1a864ec81cdeOBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: nw-design-patterns
description: 7 agentic design patterns with decision tree for choosing the right pattern for each agent type
user-invocable: false
disable-model-invocation: true
---

# Agentic Design Patterns

## Pattern Decision Tree

```
Is the agent doing a single focused task?
  YES -> Does it need self-evaluation?
    YES -> Reflection
    NO  -> ReAct (default for most agents)
  NO -> Is it coordinating multiple agents?
    YES -> Are tasks independent?
      YES -> Parallel Orchestration
      NO  -> Are tasks sequential with dependencies?
        YES -> Sequential Orchestration
        NO  -> Hierarchical (supervisor + workers)
    NO -> Is it routing to one of several specialists?
      YES -> Router
      NO  -> Does it need structured task decomposition?
        YES -> Planning
        NO  -> ReAct (default)
```

## 1. ReAct (Reason + Act)

General-purpose agents needing tool calling and iterative problem-solving.

**Loop**: Reason -> Select/execute action -> Observe result -> Repeat until done.
**When**: Default pattern. Most specialist agents.
**Examples**: software-crafter, researcher, troubleshooter.

## 2. Reflection

Agent must evaluate and iteratively improve its own output.

**Loop**: Generate -> Review against criteria -> Identify gaps -> Refine -> Validate threshold met.
**When**: Quality-critical outputs where first-draft insufficient (code review, architecture review, agent validation).
**Examples**: agent-builder-reviewer, solution-architect-reviewer, software-crafter-reviewer.

## 3. Router

Request classified and delegated to exactly one specialist.

**Loop**: Analyze request -> Classify -> Select specialist -> Delegate.
**When**: Task dispatching, single path execution. Low overhead, fast routing.
**Examples**: workflow-dispatcher, task-router.

## 4. Planning

Complex tasks requiring structured decomposition before execution.

**Loop**: Decompose into sub-tasks -> Sequence -> Allocate resources -> Execute with checkpoints.
**When**: Multi-step implementations, migrations, large refactoring.
**Examples**: project-planner, migration-coordinator.

## 5. Sequential Orchestration

Linear workflows with clear dependencies between stages.

**Structure**: Agent1 -> Output1 -> Agent2 -> Output2 -> Agent3 -> Result
**When**: Pipeline workflows where each stage transforms previous output.
**Example**: nWave waves: DISCUSS -> DESIGN -> DEVOPS -> DISTILL -> DELIVER.

## 6. Parallel Orchestration

Multiple independent analyses needed simultaneously.

**Structure**: Supervisor -> [Worker1, Worker2, Worker3] (concurrent) -> Aggregate results.
**When**: Independent analyses, multi-aspect reviews, parallel risk assessment.
**Example**: Multi-reviewer code review, parallel security + performance + correctness analysis.

## 7. Hierarchical

Supervisor coordinates multiple worker agents dynamically.

**Structure**: Supervisor manages workers, routing tasks and aggregating results.
**When**: Complex coordination where routing depends on intermediate results.
**Example**: feature-coordinator supervising frontend/backend/database/testing specialists.

## Pattern Combinations

- **ReAct + Reflection**: Reason/act then self-review (most reviewer agents)
- **Planning + Sequential**: Decompose then execute pipeline (devop)
- **Router + Hierarchical**: Route to supervisor who coordinates workers

## Choosing for nWave Agents

| Agent Role | Pattern | Rationale |
|-----------|---------|-----------|
| Specialist (single domain) | ReAct | Tool-using, iterative task completion |
| Reviewer (-reviewer suffix) | Reflection | Must self-evaluate and iterate on critique |
| Wave orchestrator | Sequential | Clear dependency chain between phases |
| Multi-agent coordinator | Hierarchical | Dynamic task routing to specialists |
| Task dispatcher | Router | Classification and single-path delegation |
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-design-patterns.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141a864ec81cdeSAFEB89first audit
05

Questions

What does the Nw Design Patterns skill do?

AI agents that guide you from idea to working code, with you in control at every step.

Is Nw Design Patterns safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Nw Design Patterns access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1a864ec81cde), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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