Ada Plan View Accessibility logo

Ada Plan View Accessibility

OrganizationPopular
benchflow-ai
ada-plan-view-accessibility

Use when checking simplified ADA-derived plan-view bathroom accessibility constraints such as turning space, door clear width, toilet centerline, grab bars, and lavatory knee/toe clearance.

Overview

Publisherbenchflow-ai
Repositoryskillsbench
Skill nameada-plan-view-accessibility
Stars
1.8K
Forks
367
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by benchflow-ai on GitHub. Read the source before you install it.

Installation

Install the Ada Plan View Accessibility 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.
  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/benchflow-ai/skillsbench.git /tmp/skillsbench
mkdir -p .claude/skills
cp -r /tmp/skillsbench/tasks/ada-bathroom-plan-repair/environment/skills/ada-plan-view-accessibility .claude/skills/ada-plan-view-accessibility
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ada Plan View Accessibility 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 Ada Plan View Accessibility 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 Ada Plan View Accessibility 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.

Use this skill for plan-view accessibility checks. It is not a full legal ADA compliance review; apply only the geometric rules provided by the task.

Plan-View Checks

  • Door clear opening: compare the submitted clear width against the minimum in the rules file, commonly 32 inches.
  • Door swing: if the rule disallows swing into required fixture clearance, prefer an outward or sliding swing in the repaired layout. Do not leave an inward repaired swing unless you have explicitly modeled and cleared the swing path against fixtures and required clearances.
  • Turning space: verify that a 60 inch diameter circle fits inside usable floor area. Diameter alone is not enough. Apply the wall/boundary offset from the rules, subtract protected or blocked fixtures such as tubs, and allow overlap with toilet clear floor space only when the rules say so.
  • Lavatory overlap: allow the turning circle to overlap a lavatory only when plan-view knee/toe clearance is explicitly indicated and meets the required width and depth.
  • Toilet centerline: measure from the adjacent side wall and keep it inside the rule range, commonly 16 to 18 inches.
  • Grab bars: classify rear-wall and side-wall bars by orientation/location and compare their plan-view lengths against the minimums. The side-wall grab bar should align with the same adjacent side wall used for the toilet centerline and overlap the toilet use zone. The rear-wall grab bar should align with the rear wall behind the toilet and cross or closely span the toilet centerline.

Violation Reporting

Report one violation per failed rule/element pair. Use stable machine-readable rule names from the rules file, for example:

  • door_clear_width_min
  • turning_circle_diameter_min
  • turning_circle_fit_usable_floor
  • toilet_centerline_from_side_wall_range
  • side_grab_bar_length_min
  • rear_grab_bar_length_min
  • side_grab_bar_toilet_side_wall_alignment
  • rear_grab_bar_toilet_centerline_span
  • lavatory_knee_clearance_min

Do not report vertical requirements such as seat height, mounting height, mirror height, signage height, or pipe protection if the task scope excludes them.

Use combined rule names for range checks. For example, if the toilet centerline is outside the allowed range, report toilet_centerline_from_side_wall_range; do not invent separate *_min or *_max violation names unless the rules file explicitly asks for them.

Use the element id that matches the failed requirement's scope:

  • For toilet centerline failures, use the toilet id, such as WC1.
  • For room-level turning-circle fit failures, use the room id, such as bathroom_1, because the failure is about whether usable floor area can contain the full circle.
  • For grab-bar length failures, report them only after classifying the actual side-wall and rear-wall grab bars. Do not report grab-bar failures when the classified bars meet the minimum lengths.
  • For lavatory knee/toe clearance, report a violation only when the lavatory lacks the indicated plan-view knee/toe clearance or the stated width/depth is below the rule minimum. Do not infer a before-repair violation from unrelated fixture graphics when the extracted lavatory metadata satisfies the rule.

Repair Principles

  • Preserve existing walls and fixtures whenever a local move or small expansion solves the problem.
  • Prefer changing door swing/opening representation over redesigning the whole room.
  • Keep protected fixtures such as tubs in place unless the rules make that impossible.
  • If the toilet moves, update or validate the grab-bar segments against the repaired toilet position.
  • Make every repair traceable to a violation or to preserving a valid clearance.

Frequently asked questions

What does the Ada Plan View Accessibility AI skill do?

Use when checking simplified ADA-derived plan-view bathroom accessibility constraints such as turning space, door clear width, toilet centerline, grab bars, and lavatory knee/toe clearance.

Why use Ada Plan View Accessibility on TypingMind?

Because you install it once and use it with any model. Ada Plan View Accessibility 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 Ada Plan View Accessibility in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/benchflow-ai/skillsbench/tree/main/tasks/ada-bathroom-plan-repair/environment/skills/ada-plan-view-accessibility. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ada Plan View Accessibility?

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 Ada Plan View Accessibility?

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

Is the Ada Plan View Accessibility AI skill free?

Yes. It is published on GitHub by benchflow-ai under the Apache-2.0 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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