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design-system-ops

Claude Code✓ SPEC VERIFIED

Claude Code skills for the work that keeps a design system alive

@murphytrueman · v2.0.0 · MIT · updated 24d ago

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/plugin marketplace add murphytrueman/design-system-ops
/plugin install design-system-ops

README

Design System Ops

Design System Ops

Claude Code skills for the work that keeps a design system alive.

designsystemops.com

CI


The work nobody built AI for

Design systems drift. Tokens go stale. Components fall out of spec. Governance documentation gets written once and never updated. The deprecation plan lives in someone's head. The stakeholder brief gets thrown together the night before quarterly review. There are great AI tools for the designer who uses a design system. But the team running it? That work never had proper tooling – until now.


What this is

A skill pack for Claude Code and Cowork that teaches Claude how to do design systems work the way a staff-level practitioner would — with structured processes, expert frameworks, and output calibrated to the actual complexity of what you're dealing with.

When you ask Claude to audit your tokens, it doesn't give you generic advice. It reads your actual token files, identifies tier leakage, flags naming violations, and produces a prioritised finding table with remediation guidance and effort ranges you can plan sprints around. If you're moving to DTCG, it can plan that migration too.

That is the difference. Not a smarter prompt. A different kind of output entirely.

Who it's for: Design systems leads, senior design engineers, and anyone responsible for a production design system. The people who run the system, not just the people who use it.


Installation

Cowork (desktop app — easiest)

  1. Download design-system-ops.plugin from the installable/ folder — or from the latest Release
  2. Open the Claude desktop app and start a Cowork session
  3. Drop the .plugin file into the chat
  4. Follow the install prompt — done

Claude Code (terminal)

Clone this repo into your Claude Code skills directory:

git clone https://github.com/murphytrueman/design-system-ops.git ~/.claude/skills/design-system-ops

For project-level installation (instead of global):

git clone https://github.com/murphytrueman/design-system-ops.git your-project/.claude/skills/design-system-ops

Claude Code loads the cloned folder as a plugin. To confirm, run claude plugin list: you should see design-system-ops@skills-dir with status loaded. A project-level install only loads once you trust the project folder; accept Claude Code's trust prompt, then run /reload-plugins.

Verify: Open Claude Code and say "How healthy is my design system?" If Claude responds with a structured, multi-step process — not generic advice — you're set up.

To check the install itself, run bash ~/.claude/skills/design-system-ops/verify-install.sh — it confirms every skill can find its knowledge notes. Only git clone and the .plugin bundle are supported; installers that flatten skills into separate folders (e.g. npx skills install) drop the knowledge notes, and skills will stop and tell you so.

See 1-INSTALL.md for the full guide with entry points by use case.


What's included

Skills

Category Skills What they do
Audit token-audit, component-audit, system-health, drift-detection, naming-audit, figma-variable-audit, codebase-index, theme-audit, docs-coverage Understand what you actually have
Govern contribution-workflow, deprecation-process, decision-record, change-communication, backlog-generator, version-bump-advisor, release-retrospective, governance-encoder, codemod-generator Run the system as infrastructure
Document ai-component-description, pattern-documentation, token-documentation, usage-guidelines, component-decision-tree, agent-instructions, metadata-schema-generator Make the system legible to humans and machines
Validate design-to-code-check, accessibility-per-component, token-compliance, schema-validator, component-api-validator, cicd-integration Verify quality before it ships
Communicate adoption-report, stakeholder-brief, system-pitch, onboarding, visual-report Move people and decisions

Agents

Run these as slash commands. Claude Code prefixes plugin commands with the pack's name, so type /design-system-ops: to see them all.

Agent What it chains When to use it
/design-system-ops:full-diagnostic 6 audit skills (+ conditional theme/Figma) with cross-skill synthesis Quarterly review or inheriting a system
/design-system-ops:release-check Design-to-code, accessibility, token compliance, AI description, usage guidelines, change communication (plus a semver check for breaking changes) Before shipping any component
/design-system-ops:governance-review Adoption report, drift detection, stakeholder brief Monthly or quarterly governance cadence
/design-system-ops:token-migration Token audit, transformation table, codemods, a three-stage rollout (ship new names with the old ones aliased and deprecated, consumers migrate, remove in the next major), communication Planning a token migration (format, tool, naming or tier)

For coding agents

agent-instructions writes the AGENTS.md that Claude, Cursor and Copilot read first, with a source for every rule, and links the rest: the inventory and dependency graph from codebase-index, per-component metadata from metadata-schema-generator, choosing-between pages from component-decision-tree, and the lint configuration governance-encoder writes so agents can check their own work.


Core frameworks

The skills encode specific practitioner frameworks, not generic advice:

  • Three-tier token architecture — primitive → semantic → component, with tier-leakage detection and DTCG 2025.10 alignment
  • Component Challenge Rating — rates components by how risky they are to implement, so higher-risk components get deeper documentation and more rigorous validation
  • Design system maturity model — five named stages from Ad-hoc to Optimised, used across health reports, stakeholder briefs, and adoption tracking to frame recommendations appropriately
  • AI-readiness assessment — evaluates how well your system's metadata, naming, and structure support AI agent consumption

Usage

"I just want to know where we stand" → Say: "How healthy is my design system?"

"Our tokens are a mess" → Say: "Audit my tokens"

"I need to deprecate a component" → Say: "Help me deprecate DatePicker in favour of DatePickerNext"

"I need to convince leadership to fund this" → Say: "Help me build the business case for a dedicated design system team"

"My VP wants an update" → Say: "Write a short update for our VP on where the design system stands this quarter"

"Run the full pre-release pipeline" → Run: /design-system-ops:release-check Dialog

Which skill do I need?

If you're asking… Start with
Where do we stand overall? system-health
Are the tokens defined well? / Is the code using them? / Do the themes match? token-audit / token-compliance / theme-audit
Are the token files valid? schema-validator
What components do we have, and what's duplicated or missing? component-audit
Does this component match its design? / Is it accessible? design-to-code-check / accessibility-per-component
Where are teams drifting off the system? drift-detection (needs a consuming codebase)
Which components are undocumented or stale? docs-coverage
How do I remove or replace something? deprecation-process, then change-communication
Is this release a major? version-bump-advisor
How do I make coding agents use the system properly? agent-instructions, then codebase-index and metadata-schema-generator
Someone new starts next week onboarding
Leadership wants an update / wants a business case stakeholder-brief / system-pitch

You don't need to memorise skill names. Describe what you need and the right skill activates. You can also run any skill directly, with a path if you like: /design-system-ops:token-audit src/tokens. The four chained workflows are the exception to asking in plain language: run them by their command, so a long multi-skill run only starts when you ask for it.


Sample outputs

Sample outputs are in sample-outputs/. All nine are unedited runs against the small test design system in tests/fixtures/, which has known problems planted in it, so you can see exactly what the skills produce and regenerate any of them yourself with the evals. Nothing is anonymised or hand-edited: a script copies each report verbatim, trimming only the chat lead-in and any harness notes after the closing note, and says so in the header.

  • fixture-token-audit.md — Tier leakage in card.border traced to the dark-mode break it causes, every finding with a file and line, an orphan search with its positive control, and effort estimates with their assumptions.
  • fixture-drift-detection.md — A consuming app's forked Button and token override. Four findings are kept Unclassified with the question that would classify each, because the fixture has no history to prove intent; the system's own defects are reported separately from the consumer's drift.
  • fixture-system-health.md — Seven dimensions with evidence behind each status, and a maturity stage inferred from the repo rather than asked: "Managed, provisionally".
  • fixture-accessibility-per-component.md — Opens by saying no runtime evidence exists, so nothing is marked PASS on code inference; a tooltip with no aria-describedby link, computed contrast ratios, forced-colours and reflow checked.

2-WHATS-INCLUDED.md lists all nine with what each demonstrates.


Configuration

Every skill works out of the box with no configuration. If you want to customise behaviour — severity overrides, Figma integration, GitHub API access, recurring trend tracking — copy the annotated template, ds-ops-config.example.yml, to your project root as .ds-ops-config.yml. It documents every key the skills read.

See 3-SETUP-AND-CONFIG.md for the full configuration reference.


Figma integration (optional)

Several skills become more powerful when Claude can read your Figma file directly. Two options:

  • Figma Console MCP (recommended) — Read and write access. Skills can write descriptions back into components, rename variables, create tokens.
  • Official Figma MCP — Reads are scoped to your current selection, and it can write through its use_figma tool. Skills pull component data and the variables a selection uses; collection-wide variable audits need the Console MCP.

Setup details in 1-INSTALL.md.


Requirements

  • Claude Code or Cowork (Claude desktop app)
  • Access to your design system's source files (tokens, components, config)
  • Works with any stack: React, Vue, Twig, Tailwind, SCSS, CSS custom properties, Style Dictionary, Emotion, CSS-in-JS

Documentation

File What it covers
1-INSTALL.md Full installation guide with entry points by use case
2-WHATS-INCLUDED.md Complete product documentation — every skill, agent, and knowledge note
3-SETUP-AND-CONFIG.md Deep-dive setup, framework compatibility, monorepo handling, troubleshooting
CHANGELOG.md What changed in each release, and why

Contributing

See CONTRIBUTING.md.

Run the test suite before opening a pull request:

./tests/run.sh

Stdlib Python, nothing to install. It checks skill frontmatter and references, that every count and config key the docs mention matches the files, that commands pre-approve the tools their skills use, that no output template asks for a numeric score, and that the built plugin bundle is complete and installs cleanly. CI runs the same suite on every pull request.

Before a release, python3 tests/evals/run_evals.py runs key skills against a small design system with known problems planted in it and checks they find them. It calls Claude, so it isn't part of CI — see tests/README.md.


License

MIT — see LICENSE.


Support

If you found this useful, buy me a coffee.


Author

Murphy Trueman — designsystemops.com · hello@murphytrueman.com

Built from 14 years of production design systems work. If it's in these skills, it's because it came up in real work.

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