adrianliechti

Audit an HTML/UI Studio build for accessibility — contrast, semantic HTML, keyboard/focus, motion, forms — and fix what's found. Use only when the user explicitly requests an accessibility review or a polish-pass.

Scan a Studio HTML/UI build for generic AI-template visual tropes and fix them. Use only when the user explicitly asks whether it looks AI-generated, asks to remove the slop, or requests a polish-pass.

Create generative / algorithmic art — flow fields, particle systems, noise-driven compositions — rendered to an image with code. Use when the user wants art made with code, generative art, or parametric visuals.

Design a software/system architecture diagram (C4 context/container, or a sequence diagram) from the conversation and workspace material, delivered as a Mermaid `.mmd` diagram that renders natively in the panel. Trigger with "draw the architecture", "create a C4 diagram", "diagram the system", "show a sequence diagram", or whenever the user wants a technical system visualized.

Build a self-contained interactive HTML dashboard with ECharts, filters, KPIs, and tables. Use for executive overviews, operational monitoring, or analytical workspaces where several coordinated views need to respond to the same data.

Create beautiful static visual art — posters, design pieces, cover art — as .png or .pdf, driven by a design philosophy. Use when the user asks for a poster, a piece of art, a design, or any static, design-forward visual. Create original work, never copying existing artists.

Create rigorous static or interactive data visualizations from real data. Use Python with matplotlib/seaborn for publication-ready PNG/SVG, or the JavaScript executor's embedded ECharts browser bundle for a self-contained interactive HTML chart.

Extract a design system from a brand guide, codebase, screenshots, or finished artifact. Use when the user explicitly asks for tokens, a component inventory/library, or to turn an existing visual language into a reusable system.

Build a threat model for a codebase — map assets, entry points, trust boundaries, and the threats that matter — and write THREAT_MODEL.md to focus later scanning and triage.

Explore an existing codebase, design a concrete feature architecture, implement in small phases, and verify with focused tests.

Behavior-preserving cleanup of recently changed code for reuse, clarity, consistency, and efficiency.

Verify, deduplicate, rank, and route raw security findings from VULN-FINDINGS.json, scanner output, or a markdown report, then write TRIAGE.json and TRIAGE.md.

Static source-code vulnerability scan that maps focus areas, fans out read-only security agents, and writes VULN-FINDINGS.json plus VULN-FINDINGS.md for triage.

High-precision review of code changes for real bugs, security regressions, and explicit project-guideline violations, with independent verification before reporting.

Generate minimal, behavior-preserving fixes for verified security findings, then verify each fix builds, passes tests, and closes the root cause.

End-to-end read-only security audit that scans focus areas and adversarially verifies candidates so only high-confidence exploitable vulnerabilities are reported.

Build, run, and drive the Bridge web UI (Kubernetes/Docker dashboard) to verify changes end-to-end.