accessibility-review

anthropics/knowledge-work-plugins · updated Apr 8, 2026

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$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill accessibility-review
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summary

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

skill.md

/accessibility-review

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Audit a design or page for WCAG 2.1 AA accessibility compliance.

Usage

/accessibility-review $ARGUMENTS

Audit for accessibility: @$1

WCAG 2.1 AA Quick Reference

Perceivable

  • 1.1.1 Non-text content has alt text
  • 1.3.1 Info and structure conveyed semantically
  • 1.4.3 Contrast ratio >= 4.5:1 (normal text), >= 3:1 (large text)
  • 1.4.11 Non-text contrast >= 3:1 (UI components, graphics)

Operable

  • 2.1.1 All functionality available via keyboard
  • 2.4.3 Logical focus order
  • 2.4.7 Visible focus indicator
  • 2.5.5 Touch target >= 44x44 CSS pixels

Understandable

  • 3.2.1 Predictable on focus (no unexpected changes)
  • 3.3.1 Error identification (describe the error)
  • 3.3.2 Labels or instructions for inputs

Robust

  • 4.1.2 Name, role, value for all UI components

Common Issues

  1. Insufficient color contrast
  2. Missing form labels
  3. No keyboard access to interactive elements
  4. Missing alt text on meaningful images
  5. Focus traps in modals
  6. Missing ARIA landmarks
  7. Auto-playing media without controls
  8. Time limits without extension options

Testing Approach

  1. Automated scan (catches ~30% of issues)
  2. Keyboard-only navigation
  3. Screen reader testing (VoiceOver, NVDA)
  4. Color contrast verification
  5. Zoom to 200% — does layout break?

Output

## Accessibility Audit: [Design/Page Name]
**Standard:** WCAG 2.1 AA | **Date:** [Date]

### Summary
**Issues found:** [X] | **Critical:** [X] | **Major:** [X] | **Minor:** [X]

### Findings

#### Perceivable
| # | Issue | WCAG Criterion | Severity | Recommendation |
|---|-------|---------------|----------|----------------|
| 1 | [Issue] | [1.4.3 Contrast] | 🔴 Critical | [Fix] |

#### Operable
| # | Issue | WCAG Criterion | Severity | Recommendation |
|---|-------|---------------|----------|----------------|
| 1 | [Issue] | [2.1.1 Keyboard] | 🟡 Major | [Fix] |

#### Understandable
| # | Issue | WCAG Criterion | Severity | Recommendation |
|---|-------|---------------|----------|----------------|
| 1 | [Issue] | [3.3.2 Labels] | 🟢 Minor | [Fix] |

#### Robust
| # | Issue | WCAG Criterion | Severity | Recommendation |
|---|-------|---------------|----------|----------------|
| 1 | [Issue] | [4.1.2 Name, Role, Value] | 🟡 Major | [Fix] |

### Color Contrast Check
| Element | Foreground | Background | Ratio | Required | Pass? |
|---------|-----------|------------|-------|----------|-------|
| [Body text] | [color] | [color] | [X]:1 | 4.5:1 | ✅/❌ |

### Keyboard Navigation
| Element | Tab Order | Enter/Space | Escape | Arrow Keys |
|---------|-----------|-------------|--------|------------|
| [Element] | [Order] | [Behavior] | [Behavior] | [Behavior] |

### Screen Reader
| Element | Announced As | Issue |
|---------|-------------|-------|
| [Element] | [What SR says] | [Problem if any] |

### Priority Fixes
1. **[Critical fix]** — Affects [who] and blocks [what]
2. **[Major fix]** — Improves [what] for [who]
3. **[Minor fix]** — Nice to have

If Connectors Available

If ~~design tool is connected:

  • Inspect color values, font sizes, and touch targets directly from Figma
  • Check component ARIA roles and keyboard behavior in the design spec

If ~~project tracker is connected:

  • Create tickets for each accessibility finding with severity and WCAG criterion
  • Link findings to existing accessibility remediation epics

Tips

  1. Start with contrast and keyboard — These catch the most common and impactful issues.
  2. Test with real assistive technology — My audit is a great start, but manual testing with VoiceOver/NVDA catches things I can't.
  3. Prioritize by impact — Fix issues that block users first, polish later.
how to use accessibility-review

How to use accessibility-review on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add accessibility-review
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill accessibility-review

The skills CLI fetches accessibility-review from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/accessibility-review

Reload or restart Cursor to activate accessibility-review. Access the skill through slash commands (e.g., /accessibility-review) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.555 reviews
  • Dhruvi Jain· Dec 24, 2024

    Registry listing for accessibility-review matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Charlotte Brown· Dec 24, 2024

    I recommend accessibility-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Olivia Kim· Dec 12, 2024

    accessibility-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hana Ndlovu· Dec 12, 2024

    Keeps context tight: accessibility-review is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Wang· Nov 19, 2024

    Useful defaults in accessibility-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Oshnikdeep· Nov 15, 2024

    accessibility-review reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Charlotte Thompson· Nov 15, 2024

    Keeps context tight: accessibility-review is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Charlotte Robinson· Nov 3, 2024

    We added accessibility-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Charlotte Garcia· Nov 3, 2024

    I recommend accessibility-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anika Anderson· Oct 22, 2024

    Solid pick for teams standardizing on skills: accessibility-review is focused, and the summary matches what you get after install.

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