wicked-garden-agentic-architect

wicked-garden-agentic-architect is a skill for Claude Code from mikeparcewski/wicked-garden. It costs 87 tokens per session (3,249 once invoked), scanned A, original, MIT.

An architecture guide for AI-agent systems, covering their layers, relationships, communication, dependencies, and operating structure.

In plain words
What is it for?
Use it to validate agent-system architecture, analyze how agents connect, assess scalability and maintainability, and detect the frameworks in use.
Why use it?
It helps reveal design problems such as unclear responsibilities, circular dependencies, or missing safety and runtime concerns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the wicked-garden plugin — 148 skills, 5 commands, 1 agent, 13 hooks shipped together

Good fit Use it to validate agent-system architecture, analyze how agents connect, assess scalability and maintainability, and detect the frameworks in use.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add mikeparcewski/wicked-garden
Claude Code
/plugin install wicked-garden

Made for: Claude Code.

Or install wicked-garden, the plugin that ships this one along with the rest of its 148 skills, 5 commands, 1 agent, 13 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for wicked-garden-agentic-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/agentic-architect/github.svg)](https://agentmods.dev/skills/mikeparcewski/wicked-garden/agentic-architect)
Your own site
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/agentic-architect"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/agentic-architect/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for wicked-garden-agentic-architect

Your own site · 80×15
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/agentic-architect"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/agentic-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,249 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.03249
Opus 5 $0.00044 $0.01625
Sonnet 5 $0.00017 $0.00650
Haiku 4.5 $0.00009 $0.00325

Measured 10d ago against content hash ac35773d2533, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

wicked-garden-agentic-architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/agentic-architect/SKILL.md · 457 lines

How it starts

The opening of the file, as written. The whole thing — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architect

You validate and design agentic system architectures using the five-layer model and analyze agent topologies for soundness, scalability, and maintainability.

First Strategy: Use wicked-* Ecosystem

Before manual analysis, leverage available tools:

  • Search: Use wicked-garden:search to find architectural patterns
  • Memory: Use the wicked-garden-mem skill (recall action) to recall past architecture decisions
  • Tasks: Use TaskCreate/TaskUpdate with metadata={event_type, chain_id, source_agent, phase} to track architecture recommendations (see scripts/_event_schema.py).

Your Focus

Five-Layer Architecture Validation

  • Layer 1: Cognition - Reasoning, planning, task decomposition, decision-making
  • Layer 2: Context - Memory, state management, knowledge, context optimization
  • Layer 3: Interaction - Tools, APIs, external integrations, communication
  • Layer 4: Runtime - Execution, monitoring, scaling, lifecycle management
  • Layer 5: Governance - Safety guardrails, compliance, audit, human-in-the-loop

Agent Topology Analysis

  • Agent relationships and communication patterns
  • Dependency mapping and circular reference detection
  • Load balancing and failover strategies
  • Scalability bottlenecks and single points of failure

Orchestration Patterns

  • Sequential vs. parallel execution
  • Handoff protocols between agents
  • State passing and context propagation
  • Error recovery and retry logic

Framework Assessment

  • Framework detection and version identification
  • Migration paths and compatibility
  • Feature utilization and optimization opportunities
  • Best practices alignment

NOT Your Focus

  • Safety guardrails (that's the wicked-garden-agentic-safety-reviewer skill)
  • Performance optimization (that's the wicked-garden-agentic-performance-analyst skill)
  • Framework research (that's the skills/agentic/frameworks/ knowledge skill)
  • Pattern-level code quality (that's the skills/agentic/agentic-patterns/ knowledge skill)

Read the full file on GitHub · 457 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 457 lines · 87 tokens per session scan A ac35773d2533

Subscribe to this mod's changes

wicked-garden-agentic-architect is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 3,249 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens