Assess cognitive load across a complete multi-step process and produce a load map.

MITAuto-check passedFrontend & Design

Install Assess Load

skills CLI
$ npx skills add Owl-Listener/inclusive-design-skills --skill assess-load -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Owl-Listener/inclusive-design-skills assess-load --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cognitive-accessibility/skills/assess-load .claude/skills/assess-load && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
assess-load
GitHub stars
104
Token cost
~463 tokens
SKILL.md length
225 words
Files
1
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Assess cognitive load across a complete multi-step process and produce a load map.

  • Works in 5 steps: Map the Journey → Rate Each Step → Identify Load Spikes → …
  • Evaluating a checkout flow
  • SKILL.md covers Process and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Assess Load is an agent skill from Owl-Listener/inclusive-design-skills. Assess cognitive load across a complete multi-step process and produce a load map. Chains: cognitive-load-assessment, memory-load-reduction, wayfinding-navigation. Use when evaluating a checkout flow, onboarding sequence, application process, or any multi-step journey.

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design. The repository describes itself as: Inclusive design skills for AI coding agents — from cognitive accessibility to adaptive interfaces, inclusive research, and accessibility decision-making. The licence is MIT.

When your agent uses it

  • Evaluating a checkout flow
  • Onboarding sequence
  • Application process
  • Any multi-step journey

Example prompts

  • “/assess-load”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Map the Journey
  2. Rate Each Step
  3. Identify Load Spikes
  4. Check Navigation and Memory
  5. Recommendations

What it can do on your machine

Read from SKILL.md and the folder at commit 6e0740f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Assess Load loads about 463 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~463

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Owl-Listener/inclusive-design-skills at commit 6e0740f, republished under its MIT licence (© Owl-Listener). 225 words, ~463 tokens.

Download SKILL.mdSave it as .claude/skills/assess-load/SKILL.md (or your agent's skills folder).
name
assess-load
description
Assess cognitive load across a complete multi-step process and produce a load map. Chains: cognitive-load-assessment, memory-load-reduction, wayfinding-navigation. Use when evaluating a checkout flow, onboarding sequence, application process, or any multi-step journey.

Assess Load

Map the cognitive load across a complete multi-step process and identify where users are most likely to struggle, give up, or make errors.

Process

Step 1: Map the Journey

List every step in the process from start to completion. For each step, note: what the user sees, what they must do, and what they must decide.

Step 2: Rate Each Step

Using cognitive-load-assessment, evaluate each step across all six dimensions (decisions, memory, concepts, steps, reading, visual). Record the rating for each.

Step 3: Identify Load Spikes

Plot the load across the journey. Identify:

  • Steps where load suddenly increases (load spikes)
  • Consecutive steps with medium-or-higher load (sustained load)
  • Points where users must remember information from earlier steps (memory bridges)
Step 4: Check Navigation and Memory

Using wayfinding-navigation and memory-load-reduction, verify:

  • Can users always get back to a previous step?
  • Is progress saved automatically?
  • Is key context carried forward between steps?
  • Can users see where they are in the overall process?
Step 5: Recommendations

For each load spike or sustained load zone, recommend specific design changes to bring the load rating down.

Output

Deliver a cognitive load map: a step-by-step table showing the load rating at each point in the journey, annotated with:

  • Load spikes flagged in red
  • Memory bridges highlighted
  • Specific reduction recommendations for each issue
  • An overall cognitive load score for the process

© Owl-Listener, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cognitive-accessibility/skills/assess-load of Owl-Listener/inclusive-design-skills.

Open the folder on GitHubat commit 6e0740f

Compare with similar skills

Assess Load next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Assess Load compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Assess Load this skillOwl-Listener/inclusive-design-skills104—~463Automated safety check: PassMIT
Web Artifacts Builderanthropics/skills180k41 repos~769Automated safety check: PassApache-2.0
React Doctormakeplane/plane61k12 repos~657Automated safety check: PassAGPL-3.0
Impeccablebestofjs/bestofjs3.1k27 repos~2.6kAutomated safety check: PassMIT
Figma Design System Builderwarpdotdev/warp65k2 repos~4.4kAutomated safety check: PassAGPL-3.0
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone

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Questions about Assess Load

What does Assess Load do?

Assess cognitive load across a complete multi-step process and produce a load map. Assess Load is an agent skill from Owl-Listener/inclusive-design-skills. Assess cognitive load across a complete multi-step process and produce a load map.

When should I use Assess Load?

Assess Load fits situations like: evaluating a checkout flow; onboarding sequence; application process; any multi-step journey.

How do I install Assess Load in Claude Code?

Run `npx skills add Owl-Listener/inclusive-design-skills --skill assess-load -a claude-code`. Or copy the skill folder (cognitive-accessibility/skills/assess-load in Owl-Listener/inclusive-design-skills) into .claude/skills/assess-load in your project. Claude Code loads it when a task matches its description.

How do I install Assess Load in Codex?

Run `npx skills add Owl-Listener/inclusive-design-skills --skill assess-load -a codex`. Or copy the skill folder (cognitive-accessibility/skills/assess-load in Owl-Listener/inclusive-design-skills) into .agents/skills/assess-load in your project. Codex loads it when a task matches its description.

Can I use Assess Load in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Owl-Listener/inclusive-design-skills --skill assess-load -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/assess-load, .gemini/skills/assess-load, .github/skills/assess-load and .opencode/skills/assess-load in your project.

What does Assess Load need to run?

SKILL.md names no scripts, command-line tools or credentials: Assess Load is instructions for the agent only.

Does Assess Load access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Assess Load safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Assess Load use?

Assess Load is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Assess Load use?

About 463 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Assess Load?

Skills that share tags, products or a category with Assess Load: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Assess Load?

Owl-Listener (a GitHub user) maintains it in Owl-Listener/inclusive-design-skills, which has 104 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on June 9, 2026.

Source: Owl-Listener/inclusive-design-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.