design

design is a skill for Claude Code from bricerising/enterprise-software-playbook. It costs 71 tokens per session (2,877 once invoked), scanned A, original, Apache-2.0.

A decision guide for choosing simple in-process code structures, such as adapters or strategies, when a component needs to change, be reused, or be tested.

In plain words
What is it for?
Use it for refactoring code inside one application, isolating third-party libraries, separating modules, or selecting a pattern for swappable implementations.
Why use it?
It helps avoid adding complicated patterns where they do not solve the actual problem and keeps ownership, boundaries, and behavior clear.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the enterprise-software-playbook plugin — 16 skills shipped together

Good fit Use it for refactoring code inside one application, isolating third-party libraries, separating modules, or selecting a pattern for swappable implementations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bricerising/enterprise-software-playbook/design
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bricerising/enterprise-software-playbook --skill design
Clone the repo
git clone --depth 1 https://github.com/bricerising/enterprise-software-playbook

Made for: Claude Code.

Or install enterprise-software-playbook, the plugin that ships this one along with the rest of its 16 skills.

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 design

README.md
[![agentmods](https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/design/github.svg)](https://agentmods.dev/skills/bricerising/enterprise-software-playbook/design)
Your own site
<a href="https://agentmods.dev/skills/bricerising/enterprise-software-playbook/design"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/design/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 design

Your own site · 80×15
<a href="https://agentmods.dev/skills/bricerising/enterprise-software-playbook/design"><img src="https://agentmods.dev/badge/skills/bricerising/enterprise-software-playbook/design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,877 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 $0.00071 $0.02877
Opus 5 $0.00036 $0.01438
Sonnet 5 $0.00014 $0.00575
Haiku 4.5 $0.00007 $0.00288

Measured 9d ago against content hash 045286eda992, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

design 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 9d 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/design/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design (Choose Code Pattern)

Overview

Pick the simplest design that fits, then map it to a code pattern only if it buys you clear leverage (change isolation, testability, reuse, or performance).

In TypeScript systems, also watch for “complications” that patterns can accidentally amplify (hidden lifetimes, implicit throw, unchecked boundary data, cyclic deps). Prefer patterns that keep boundaries and ownership explicit.

If the main pressure is system-level (multiple services/processes, partial failures, retries/idempotency, sagas, event-driven architecture, domain boundaries), use architecture first; then come back here to pick any code patterns needed for the in-process implementation.

If you’re standardizing cross-cutting boundary behavior across multiple services, consider extracting the primitive into a shared package (see platform) so the pattern becomes a consistent “golden path” instead of copy/paste.

Monolith edge case: In a monolith, use design to isolate modules within the process (Facade for subsystem boundaries, Adapter for third-party libs, Strategy for swappable implementations). If the goal is decomposing the monolith into separate deployable units or defining service boundaries, start with architecture — then return here for the in-process patterns each new service needs.

Inputs / Outputs

Inputs: Archobs JSON — file coupling (xnbr, hubness), cluster leakage (required); architecture output (if exists); forecast lifecycle data (if wrapping external dep). Outputs: Pattern selection with rationale, implementation sketch, trade-offs. Consumed by testing (test strategy), finish (verification).

Workflow

  1. Load archobs data (required): Run archobs show risks --format json and archobs show clusters --format json to get risk scores and coupling signals for the files under consideration. Use xnbr to identify files bridging multiple concerns, hubness to find fan-in bottlenecks, and cluster leakage to see where boundaries are porous. This data helps narrow the pattern choice — e.g., high xnbr suggests Facade or Strategy; high hubness suggests Mediator. If the artifacts do not exist, run archobs report --repo <path> --out .archobs --suggestions-provider rules and wait for it to complete before continuing.

Read the full file on GitHub · 168 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. 9d ago First seen · 168 lines · 71 tokens per session scan A 045286eda992

Subscribe to this mod's changes

design is a skill published in the GitHub repository bricerising/enterprise-software-playbook (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 71 tokens to every session and 2,877 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

frontmcp-guides

Tutorials, end-to-end walkthroughs, and complete reference projects for FrontMCP. Use when you want a getting-started guide, a full worked example, or to learn best practices by following a step-by-step build rather than a single API reference. Includes a beginner weather-API server (tool plus static resource, Zod…

agentfront/frontmcp · 157 tokens

replit-deck

For product and technical management work: turn PRDs, roadmaps, RFCs, architecture reviews, and retros into decision documents. Built around the core query "pm-feature-business-case-deck", with product strategy lead judgment, buyer-ready proof, and this outcome: approve the feature, architecture, roadmap, or incident…

nexu-io/open-design · 71 tokens

fs-notebook-tabs

A computer-science capstone: an on-device ML keyboard that predicts next words privately — problem, method, evaluation, and defense answers. Built as a decision-grade coursework defense deck for professor, defense committee.

nexu-io/open-design · 47 tokens

hps-bauhaus

A visual-design fundamentals course for new brand designers — grid, type, color, and the exercises that build the eye. Built as a decision-grade professional training deck for junior designers, new hires.

nexu-io/open-design · 45 tokens

hps-memphis-pop

A pop-culture retrospective on how 1980s design language shaped today's apps — the scenes, the turning point, and the takeaway. Built as a decision-grade story deck for talk audience, design community.

nexu-io/open-design · 49 tokens

hps-true-blueprint

OpenDesign's engineering blueprint: how the sandbox, sidecar, and daemon fit — the system diagram and the invariants. Built as a decision-grade product management deck for engineering org.

nexu-io/open-design · 44 tokens