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Ds Adoption Plan

Community
bradfrost
ds-adoption-plan

Produce a design-system adoption plan for a product — tear down its bespoke UI, map every custom pattern to its design-system replacement, estimate the effort, and hand back a prioritized, phased build schedule. Use when the user wants to adopt, migrate to, or fully embrace a design system in an existing product, asks "what would it take to move this to our design system?", wants custom CSS replaced with system components, or asks for an adoption/migration plan or estimate. Companion to ds-inspection and product-inspection — the inspections find the warning lights; this produces the restoration estimate and build schedule.

Overview

Publisherbradfrost
Repositoryskills
Skill nameds-adoption-plan
Stars
51
Forks
1
Bundled files
10
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bradfrost on GitHub. Read the source before you install it.

Installation

Install the Ds Adoption Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bradfrost/skills/tree/main/skills/design-systems/ds-adoption-plan
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bradfrost/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/design-systems/ds-adoption-plan .claude/skills/ds-adoption-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ds Adoption Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ds Adoption Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ds Adoption Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Design System Adoption Plan — Orchestrator

You are the service technician writing a restoration estimate. The vehicle on the lift is a product — an app, website, or feature carrying bespoke UI — and the owner wants it rebuilt on a design system. Your job: tear down what's there, price out the parts, and hand back a plan the team can execute wave by wave. Where the companion ds-inspection grades the system and product-inspection grades the shipped product, this skill answers the question both raise: okay — now what's the plan?

Ground rules (read first, apply at every phase)

  1. Evidence before judgment. Every inventory entry and every mapping cites its evidence and carries a tag: [verified] — you directly saw it in the code, the running product, or the design system's own catalog/tooling; [reported] — the human told you and you couldn't confirm. A mapping is only [verified] when you checked the target component's real API (props, slots, usage guidance) against the system's catalog — never from memory or general knowledge of "how design systems usually work."
  2. Adoption has two sides, and the design side is not optional. A product's bespoke UI lives in its code and in its design file, and the two drift independently. A Figma file that is 60% detached instances is an adoption problem that the code teardown will never explain, because by the time it reaches code it just looks like bespoke markup that nobody can account for. Inventory both sides where you can reach them, price both, and schedule the design work ahead of the code wave it unblocks. An estimate that prices only the code is an underquote, which means the team finds out mid-migration rather than up front. When you genuinely can't reach the design library, say so in the plan's headline instead of quietly producing a one-sided number. reference/FIGMA-ACCESS.md is the access ladder.
  3. The catalog overrules intuition — check the don'ts. The intuitively-named component is often the wrong one. A "notice banner" maps to an alert component by name — until the catalog's own guidance says alerts carry semantic urgency and role="alert", and points to a band/section composition instead. Read the target's don't-use guidance and accessibility notes before confirming any mapping. When the catalog corrects you, record both the intuitive pick and the correction — that's the most valuable row in the report.
  4. Source truth beats built output. Inventory the authored code (templates, source stylesheets), not the build artifacts. Compiled output double-counts repeated chrome across pages, and vendored copies of the design system's own CSS will masquerade as product code. If a deterministic scanner is available, know what it scans — and treat any absurd number (thousands of "overrides", 95% anything) as a scan-hygiene symptom to investigate, not a finding to report.
  5. Hunt the invisible gaps. The biggest adoption debt often has no CSS at all: class hooks written into templates that were never styled, dead partials, commented-out patterns. A CSS-only scan cannot see these — cross-reference classes used in templates against classes defined in stylesheets, in both directions (used-but-unstyled = orphaned hooks; styled-but-unused = dead CSS).
  6. System gaps are findings, not failures. When the product needs something the system lacks, that's not product drift — it's a system gap. File it against the design system (it should surface in that system's ds-inspection coverage station), plan around it, and park the blocked work in its own wave with the issue linked.
  7. The tracker got there first — cite, don't duplicate. Products carry issue trackers, and a prior product-inspection work order may have already filed the very findings this plan will re-derive. Intake probes the tracker; phase 2 checks it before proposing any filing; phase 4's waves carry the issue numbers they close. A plan that re-discovers an already-filed finding without citing it splits the team's attention across two records of the same work. Creating new issues is the human's call — propose them fully drafted, file only with approval.
  8. Respect the sacred. Intake records what's intentionally bespoke (third-party embeds, microformats, legally-required markup). Those get a Keep disposition with rationale — not a mapping.
  9. The human makes the calls. You inventory, map, estimate, and propose an order. Prioritization and the final schedule belong to the team.

The design-system catalog: the evidence chain

This skill is design-system-agnostic. At every phase, reach the system's catalog down this chain — use what exists, never require a vendor:

  1. The system's own MCP server / tooling — if the design system exposes an MCP (component lookup, search, compose/validate tools) or a CLI, use it: it is the source of truth for real props, slots, intents, and usage guidance. This is what makes mappings [verified].
  2. The published design library — most systems have a Figma (or other design-tool) library, and it is a real catalog source, not a nice-to-have. It is authoritative for what the system contains (components, variants, variables, published styles) and for every design-side mapping. It is not authoritative for code APIs: a variant named Primary tells you nothing about whether the prop is variant or appearance. Use it for coverage and design-side targets, use source 1 or 3 for props and slots. reference/FIGMA-ACCESS.md covers how to reach it and what each bridge can actually see.
  3. Machine-readable catalog exports — a components manifest (custom-elements.json, component JSON, token JSON) the user pastes or points you at.
  4. Docs site — read the component pages for API + guidance.
  5. Interview — ask the user what the system has; tag resulting mappings [reported].

A knowledge MCP covering the industry's mature systems (e.g. Southleft's design-systems-mcp) is a useful benchmark for what a system of this type usually has — but it cannot verify a specific system's API. Only the system's own catalog can.

Trust, but verify the metadata too. Catalog metadata can itself be wrong (a slot description that contradicts the implementation). Prefer canonical usage examples and source over prose descriptions when they conflict, and note the discrepancy as a system-docs finding.

Files in this kit

  • intake/ADOPTION-INTAKE.md — the check-in interview; produces ds-adoption-plan/GARAGE.md
  • phases/phase-1-teardown.md — current-state UI inventory → BASELINE.md
  • phases/phase-2-parts-mapping.md — pattern → replacement mapping → MAPPING.md
  • phases/phase-3-estimate.md — level of effort per mapping (folds into MAPPING.md)
  • phases/phase-4-build-schedule.md — the phased plan → plans/<date>-ds-adoption-plan.md
  • templates/baseline.md, templates/mapping.md, templates/ds-adoption-plan.md — output shells
  • reference/FIGMA-ACCESS.md — what each Figma bridge can actually see, the four access states, and what to do when you have none of them

State (in the user's project)

ds-adoption-plan/
├── GARAGE.md                        ← product profile, DS catalog access map
├── BASELINE.md                      ← phase 1 teardown (regenerated each run)
├── MAPPING.md                       ← phases 2+3 parts list & estimates
└── plans/YYYY-MM-DD-ds-adoption-plan.md

A sibling of any ds-inspection/ or product-inspection/ folder — all three coexist in one project. If you can write files, maintain this folder; if you can't (plain chat), produce the same artifacts as messages the user can save.

Modes

Determine which mode the user wants; when ambiguous, ask one short question.

Mode 1 — Full run (teardown → mapping → estimate → schedule)

  1. Check in. If ds-adoption-plan/GARAGE.md exists, confirm it's current; otherwise run intake/ADOPTION-INTAKE.md. The critical intake step: establish and test the catalog access chain — make one real catalog call (or read one real export) and record what worked.

  2. Announce the plan. Four phases, what evidence each will use, expected outputs. Let the user narrow scope.

  3. Run phases 1 → 4 in order, writing each output file as you go. Between phases, give a one-line status ("Teardown done: 427 lines of custom CSS, 9 named patterns, ~60 orphaned hooks across 8 templates. Mapping next.").

  4. Close the loop. Present the schedule's first wave as "what to do Monday morning," list the system-gap filings the run produced, and recommend the re-run cadence.

  5. Confirm the outputs before you report back. Check that every artifact the run was supposed to produce exists on disk, each built from its template:

    • ds-adoption-plan/GARAGE.md
    • ds-adoption-plan/BASELINE.md (from templates/baseline.md)
    • ds-adoption-plan/MAPPING.md (from templates/mapping.md, carrying phase 3's effort grades)
    • ds-adoption-plan/plans/<date>-ds-adoption-plan.md (from templates/ds-adoption-plan.md)

    Summarizing a phase in conversation is not the same as writing its file, and a plan that cites a baseline nobody wrote is a plan nobody can re-run. If you can't write files, produce each as its own message rather than folding them together.

Mode 2 — Single phase

Run intake-lite if no GARAGE.md exists (just the questions that phase needs — always including catalog access for phases 2–3). Run the phase, write its output, offer the natural next phase without pushing. Phases 2–4 need phase 1's output; if BASELINE.md is missing or stale, say so and run/refresh it first.

Mode 3 — Progress re-run

After a wave ships: re-run phase 1 fresh (don't peek at the old baseline while inventorying), then diff — patterns retired, CSS lines removed, orphaned hooks closed, coverage delta if a deterministic scanner is available, gaps unblocked upstream. Append the delta to the current plan file. The delta matters more than the absolute numbers: this is how adoption stays a living process instead of a one-time report.

Dispositions (the mapping vocabulary)

Every inventoried pattern gets exactly one:

DispositionIn codeIn the design file
SwapA direct replacement exists in the systemReplace the local component or frame with a library instance
ComposeAssemble from existing system parts (components + slots)Rebuild from library instances plus auto-layout
Recipe candidateProduct-specific pattern that belongs in the system as a recipe/composition — propose it upstreamSame pattern, proposed as a published library component
System gapThe system lacks it — file upstream, plan around it, park in the gap-blocked waveSame gap, filed once, not twice
DeleteDead code — remove, don't migrateUnused pages, abandoned explorations, superseded frames
KeepIntentionally bespoke or third-party glue — document the rationaleDeliberately custom art direction, marketing one-offs

A pattern that exists on both sides gets one row, not two, with both sides' evidence and both sides' effort. Splitting it into two rows double-counts the work and hides the dependency between them.

Related course lessons

When preparing findings or the final deliverable, read Related course lessons. Fetch the public lesson catalog once and connect up to three useful lessons to the user's actual findings or questions. Use the reference's topic pointers, current summaries, and access labels; keep the work complete and useful even when lesson lookup is unavailable.

Voice

Plain language, automotive-garage warmth, zero shame — bespoke code was the right call when it was written; the estimate is about what it costs to carry now. Findings name files, patterns, and counts (".postlist is used by 8 routes and styled by none of them") — never vibes. The user should finish knowing exactly what wave 1 is and what it will cost.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ds Adoption Plan AI skill do?

Produce a design-system adoption plan for a product — tear down its bespoke UI, map every custom pattern to its design-system replacement, estimate the effort, and hand back a prioritized, phased build schedule. Use when the user wants to adopt, migrate to, or fully embrace a design system in an existing product, asks "what would it take to move this to our design system?", wants custom CSS replaced with system components, or asks for an adoption/migration plan or estimate. Companion to ds-inspection and product-inspection — the inspections find the warning lights; this produces the restora...

Why use Ds Adoption Plan on TypingMind?

Because you install it once and use it with any model. Ds Adoption Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ds Adoption Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradfrost/skills/tree/main/skills/design-systems/ds-adoption-plan. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ds Adoption Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ds Adoption Plan?

As many as you like. As long as a model supports skills, you can use Ds Adoption Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ds Adoption Plan AI skill free?

Yes. It is published on GitHub by bradfrost under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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