القائمة
Structured visual design critique with specific actionable feedback
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Local git operations for syncing, branching, merging, and conflict resolution
GitHub interactions for issues, PRs, releases, and repository management
Use this skill when performing hardware security analysis for System-on-Chip components — threat modeling, verification scaffolding, compliance mapping, executive briefing, microarchitectural attack analysis, physical side-channel assessment, kernel security analysis, emerging hardware security, or TLA+ formal specification. Routes to the appropriate specialist. Trigger phrases include "threat model my SoC", "run STRIDE analysis", "generate SVA assertions", "compliance check against FIPS", "executive summary of findings", "Spectre analysis for cache", "DPA attack assessment", "kernel hardening review", "PQC hardware review", "TLA+ spec for access control". Do NOT use for software-only security, network security, or web application security.
Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code architecture decisions
Security audit checklist for web applications. Use when reviewing, auditing, or hardening a web app's security posture. Covers rate limiting, auth headers, IP blocking, CORS, security middleware, input validation, file upload limits, ORM usage, and password hashing. Triggers on requests like "review security", "harden this app", "security audit", "check for vulnerabilities", or when building/reviewing API endpoints.
Use this skill when connecting AI or LLMs to data platforms. Covers MCP servers for warehouses, natural-language-to-SQL, embeddings for data discovery, LLM-powered enrichment, and AI agent data access patterns. Common phrases: "text-to-SQL", "MCP server for Snowflake", "LLM data enrichment", "AI agent access". Do NOT use for general data integration (use data-integration) or dbt modeling (use dbt-transforms).
| name | Visual Audit |
| department | artisan |
| description | Structured visual design critique with specific actionable feedback |
| version | 1 |
| triggers | ["visual","design review","UI audit","hierarchy","contrast","spacing","typography","color","layout"] |
Perform a structured visual design critique of an interface, producing specific actionable feedback on hierarchy, contrast, spacing, typography, color, and overall coherence.
View the interface at arm's length (or blur it mentally). Identify:
Check the information hierarchy:
Check the type system:
Check color usage:
Check spatial consistency:
Check for visual consistency:
# Visual Audit Report
## Overall Assessment
**Score:** [1-10]
**Summary:** [2-3 sentences on the interface's visual effectiveness]
## Squint Test Results
- **Primary focus:** [What draws the eye first — is this correct?]
- **Reading order:** [Clear / Unclear / Competing elements]
- **Visual noise:** [Low / Medium / High]
## Findings
### [CRITICAL] [Category] — [Finding]
**Current:** [What's happening now]
**Issue:** [Why it's a problem — cite specific principle]
**Fix:** [Specific change — exact values where possible]
### [IMPROVEMENT] [Category] — [Finding]
**Current:** [What's happening now]
**Suggestion:** [Specific improvement with rationale]
## Contrast Report
| Element | Foreground | Background | Ratio | Pass AA |
|---------|-----------|------------|-------|---------|
| Body text | #333 | #fff | 12.6:1 | Yes |
| Muted text | #999 | #fff | 2.8:1 | NO |
## Quick Wins
1. [Change that would have the biggest visual impact for the least effort]
2. [Second quick win]
3. [Third quick win]