Run technical quality checks across accessibility, performance, responsive design, theming, and anti-patterns. Generate a scored report with P0-P3 severity ratings. Report-only — documents issues for other skills to fix. Triggers on audit the design, check accessibility, technical review, performance audit, a11y check.
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See how to installReview the instructions the agent will receive before you install.
Run systematic technical quality checks and generate a scored report. Don't fix issues — document them for other commands to address.
This is a code-level audit, not a design critique. Check what's measurable and verifiable in the implementation.
Read ~/.claude/skills/minoan-frontend-design/SKILL.md for anti-pattern guidance. Check .design-context.md for project context if it exists.
Read the ignore list at .design-critique/ignore.md if it exists. Findings matching an ignore entry (case-insensitive substring) should be silently dropped — the user has already acknowledged them as deferred tradeoffs or accepted deviations.
Check 5 dimensions. Score each 0-4 using ~/.claude/skills/minoan-frontend-design/references/heuristics-scoring.md criteria.
Score: 0=Inaccessible, 1=Major gaps, 2=Partial effort, 3=WCAG AA mostly met, 4=WCAG AA fully met
will-changeScore: 0=Severe issues, 1=Major problems, 2=Partial optimization, 3=Mostly optimized, 4=Fast and lean
Score: 0=Desktop-only, 1=Major failures, 2=Works on mobile with rough edges, 3=Responsive with minor issues, 4=Fluid across all viewports
Score: 0=No theming, 1=Minimal tokens, 2=Inconsistent tokens, 3=Good with minor gaps, 4=Full token system
Check against the rejection guidelines in the minoan skill and the full checklist in ~/.claude/skills/minoan-frontend-design/references/anti-patterns.md. Look for AI slop tells, side-tab borders, gradient text, generic fonts, and all other tells.
Score: 0=AI slop gallery (5+ tells), 1=Heavy AI aesthetic (3-4), 2=Some tells (1-2), 3=Mostly clean, 4=Distinctive and intentional
| # | Dimension | Score | Key Finding |
|---|---|---|---|
| 1 | Accessibility | ? | |
| 2 | Performance | ? | |
| 3 | Responsive Design | ? | |
| 4 | Theming | ? | |
| 5 | Anti-Patterns | ? | |
| Total | ??/20 |
Rating bands: 18-20 Excellent, 14-17 Good, 10-13 Acceptable, 6-9 Poor, 0-5 Critical
Pass/fail: does this look AI-generated? List specific tells.
Tag every issue P0-P3. For each:
Recurring problems indicating gaps rather than one-off mistakes.
What's working well — good practices to maintain.
List commands in priority order (P0 first). End with /design-polish if fixes were recommended.
For UX-level issues (hierarchy, emotional resonance, cognitive load), run /design-critique.
Re-run
/design-auditafter fixes to see your score improve.
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Search academic papers, build literature reviews, and synthesize research findings — combines Exa search (publication category, domain and date filters) with arxiv-mcp-server for paper discovery, download, and deep analysis. Triggers on academic paper, literature review, research synthesis, arxiv, find papers, scholarly search.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).
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Academic research skill for Biblical Hebrew, Semitic linguistics, cuneiform studies, and comparative Ancient Near Eastern research. Provides Sefaria API for Hebrew Bible, CDLI/ORACC for cuneiform databases, and web discovery via Omnisearch, Exa, Firecrawl, and Obscura for finding scholarly sources across JSTOR, Perseus, Persée, Google Scholar, and academia.edu. Triggers on Hebrew quotes, cuneiform, Sefaria, ANE research, Minoan, search for scholarship, find papers, literature review, scholarly search, academic search, Genesis/Tehom, Ugaritic, Talmudic sources, extract from PDF, OCR academic.
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Build comprehensive ARCHITECTURE.md files following matklad's canonical guidelines — bird's-eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries. Triggers on document the architecture, create ARCHITECTURE.md, map this codebase, architectural overview.
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Generate physically-based atmospheric scattering shaders — sky domes, planetary atmospheres, LUT-optimized pipelines, depth-aware post-processing. Four modes — sky-dome, atmosphere-post, planet, lut. Triggers on atmospheric scattering, sky shader, sunset rendering, planet atmosphere, Rayleigh scattering, Mie scattering, volumetric sky, sky dome, atmosphere post-processing, aerial perspective, transmittance LUT, sky rendering, realistic sky, planetary rendering.
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