design-qa-skill
Skill providing design QA checklists and principles for visual review across lanes. Used by design-review agents to enforce hierarchy, spacing, color, and responsiveness.
640,421 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Counts cover every published resource in this section. A resource can belong to several fields and platforms.
Skill providing design QA checklists and principles for visual review across lanes. Used by design-review agents to enforce hierarchy, spacing, color, and responsiveness.
Enforces quality verification gates with four-step validation (tests pass, build succeeds, checklist complete, no blockers) before task completion, PR creation, or status updates. Auto-activates when user says "done", "complete", "finished", "ready to merge", or runs /ccpm:verify or /ccpm:done co...
Complete FFmpeg noise reduction and denoising for video and audio. PROACTIVELY activate for: (1) Video denoising (nlmeans, hqdn3d, vaguedenoiser), (2) Hardware-accelerated denoising (nlmeans_opencl, nlmeans_vulkan), (3) Audio noise reduction (afftdn, anlmdn), (4) Film grain removal, (5) Low-light...
Complete guide to FFmpeg filter_complex syntax, multi-input/output pipelines, and composition patterns. PROACTIVELY activate for: (1) filter_complex syntax questions, (2) Multi-input video composition (PiP, grids, overlays), (3) Video transitions (xfade, fades, wipes), (4) Audio mixing (amix, ame...
Audio and video processing with FFmpeg, WebRTC, and streaming. Covers transcoding, format conversion, real-time communication, and media pipelines. Use for video processing, live streaming, or audio manipulation.
Playwright-based game playtesting and design validation. Use when validating implementation against GDD, testing gameplay mechanics, capturing screenshot evidence, performing game state detection via Vision MCP, or conducting visual GDD compliance validation.
---name: bone-marrow-ai-agent description: AI-powered bone marrow morphology analysis, cell classification, and hematologic disorder diagnosis using deep learning on aspirate and biopsy images. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
---name: coagulation-thrombosis-agent description: AI-powered analysis of coagulation disorders, thrombosis risk prediction, anticoagulation management, and platelet function assessment using machine learning. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatib...
---name: liquid-biopsy-analytics-agent description: AI-powered comprehensive liquid biopsy analysis integrating ctDNA, CTCs, exosomes, and cfRNA for cancer detection, monitoring, and treatment guidance. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
Use when investigating errors, analyzing stack traces, or finding root causes of unexpected behavior. Invoke for error investigation, troubleshooting, log analysis, root cause analysis.
Systematic debugging with defense-in-depth approach (symptoms → immediate cause → root cause → systemic issues → prevention). Auto-activates when user mentions "error", "failing", "broken", "debug", "bug", "issue" or when /ccpm:verify runs. Uses Observe → Hypothesize → Test → Confirm → Fix → Veri...
Analyzes errors, searches past solutions in memory, provides immediate fixes with code examples, and saves solutions for future reference. Use when user says "debug this", "fix this error", "why is this failing", or when error messages appear like TypeError, ECONNREFUSED, CORS, 404, 500, etc.
Try a broader search or clear some filters.
Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.