00-andruia-consultant
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string
$ npx -y skills add sickn33/agentic-awesome-skills --skill accesslint-audit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/accesslint-auditContext preview
The summary Claude sees to decide when to auto-load this skill.
Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string
name: accesslint-audit description: "Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits." risk: safe source: "https://github.com/AccessLint/skills" date_added: "2026-06-02"
You audit accessibility and optionally fix what's broken.
If unsure, ask. Don't default-to-fix when the user only asked for an audit.
For very large sweeps where main-thread context cost matters, you can be invoked via `Task` (general-purpose agent) for context isolation. The recipe is the same either way.
Three flows, in order of preference.
1. **`audit_live`** — try first for any URL. Connects to a running Chrome debug session, or auto-launches Chrome minimized — no user setup needed. Single call; IIFE bytes don't enter your context. 2. **`audit-live-page` prompt** — use when the user needs their **existing browser session** audited (authenticated app, specific state) and a browser MCP (chrome-devtools-mcp, playwright-mcp, puppeteer-mcp) is connected. Invoke via `Skill` with `mode: "fix"` or `mode: "plan"`. 3. **`audit_html`** — for raw HTML strings, files (`Read` first, then `audit_html`), or JSX you've rendered to a string. Pair with `audit_diff({ html })` for fix-mode verification.
For non-URL targets, skip straight to flow 3. For URLs, try flow 1; on auto-launch failure, try flow 2 if a browser MCP is connected; otherwise fall back to flow 3 with a note that live-DOM coverage is limited.
State the scope explicitly at the start of your report.
1. **Map the surface.** Glob/Grep to enumerate components, templates, styles. Sample representative files; don't open everything blindly. 2. **Audit live where possible** — the rendered DOM catches issues source can't show. Use the flow picker above. 3. **Look for patterns.** If one component fails a rule, similar components likely do too. Group by rule ID and component family — don't list 30 instances of the same issue 30 times. 4. **Prioritize by user impact.** Critical/serious first. Many low-impact violations of one rule are often a single root-cause fix. 5. **Use `format: "compact"` for sweep-time calls.** Reserve verbose output for rules you'll expand in the report. 6. **Trust `Source:` lines.** Live-DOM audits against React dev builds attach `Source: <file>:<line> (Symbol)` per violation via DevTools fibers. Use it as the file pointer instead of grepping selectors. Fall back to stable hooks → visible text → tree position when absent. 7. **Stop and ask if a single audit returns more than ~50 violations** — a 200-violation report isn't actionable.
The engine catches what's mechanically detectable. Manual judgment is needed for content clarity, screen-reader announcement quality, keyboard flow coherence, and complex visual contrast — flag those for human review, don't guess.
# Accessibility audit — <scope> ## Summary - N critical, M serious, K moderate, J minor (after deduplication) - Most impactful patterns: <one-line each, max 3> ## Critical (blocks access) For each pattern: - **Pattern**: <one-line description> - **WCAG**: <ID> — <name> - **Affected files**: <file:line> (×N if repeated) - **Fix**: <directive from engine output, or specific code change> - **Why critical**: <user impact> ## Serious [same shape] ## Moderate / Minor [Bullet list, deduplicated by rule. Skip per-instance detail unless the fix differs.] ## Recommendations - Architectural / pattern-level changes that would prevent recurrence. - Tooling or component abstractions worth introducing. - What to verify manually (screen reader, keyboard, low-vision testing). ## Positive findings What the codebase does well — short, factual, reinforces practices to keep.
Include rule IDs in every entry. Quote the `Fix:` directive verbatim for `mechanical` rules. For `visual` / `contextual`, leave a `TODO` with the rule ID; don't invent content.
1. **Baseline.** Audit with `name: "before"` and `format: "compact"`. 2. **Plan + apply.** For each violation:
Find reusable instructions for your project, inspect their complete files, and keep an exact skill set you can review and reuse. Codex or Claude inspects your project and chooses exact skills from the complete local AAS catalog.
Repo: sickn33/agentic-awesome-skills
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
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