interaction-design
claudeInteraction design skills: micro-interactions, animation principles, state machines, gesture patterns, error handling UX, and feedback patterns.
22 skills · 5 commands
Evaluate agentic experiences: behaviour evals, trust calibration, failure analysis.
Plugin evaluation from marketplace designer-skills in Owl-Listener/designer-skills. Commands read from the repo's manifest — 1 month ago.
comparative-evaluationA/B testing, side-by-side comparison, and preference ranking for AI outputs.
failure-taxonomyClassifying AI failures — hallucination, refusal, irrelevance, tone mismatch, latency.
heuristic-evaluation-aiAdapting Nielsen's heuristics and new AI-specific heuristics for AI interfaces.
longitudinal-measurementTracking AI product quality over time — drift, degradation, and improvement.
output-quality-rubricsDefining what "good" looks like for AI outputs — accuracy, relevance, helpfulness.
task-success-metricsMeasuring whether the AI actually helped users accomplish their goals.
user-satisfaction-signalsInterpreting implicit and explicit feedback — edits, regenerations, abandonment.
/evaluation:create-rubricBuild a scoring rubric for evaluating AI output quality.
/evaluation:design-benchmarkDesign a benchmark suite to measure AI product performance over time.
/evaluation:run-evaluationExecute a structured evaluation of an AI feature against defined criteria.
Interaction design skills: micro-interactions, animation principles, state machines, gesture patterns, error handling UX, and feedback patterns.
22 skills · 5 commands
UI design skills: color palettes, typography systems, layout grids, responsive breakpoints, dark mode specs, visual hierarchy, and brand alignment.
19 skills · 5 commands
User research skills for designers: personas, empathy maps, journey maps, interview scripts, usability testing, card sorting, behavioural analytics, and reconciling data with research.
14 skills · 4 commands
Prototyping and testing skills: wireframe specs, usability heuristics, heuristic evaluations, accessibility audits, A/B test design, and benchmark analysis.
10 skills · 5 commands
UX strategy skills: information architecture, content strategy, navigation patterns, user flows, task analysis, and competitive UX audits.
12 skills · 3 commands
Design system skills: component specs, design tokens, naming conventions, spacing and grid systems, accessibility standards, and documentation.
11 skills · 3 commands
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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