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Found 2,058 Skills
Score content against GEO optimization criteria. Triggers on "score this", "rate content", "GEO score", "how does this rank", "evaluate content", "content score".
Know when your AI breaks in production. Use when you need to monitor AI quality, track accuracy over time, detect model degradation, set up alerts for AI failures, log predictions, measure production quality, catch when a model provider changes behavior, build an AI monitoring dashboard, or prove your AI is still working for compliance. Covers DSPy evaluation for ongoing monitoring, prediction logging, drift detection, and alerting.
data-collection for evidence-based learning research and evaluation.
Triage GitHub bug reports for actionability. Use when evaluating whether a bug issue has sufficient detail and identifying missing information from the reporter.
Comprehensive visual design and aesthetics evaluation. Analyzes typography, color, spacing, hierarchy, consistency, branding, and modern design trends for polished, professional interfaces.
Deep research expert for comprehensive technical investigations. Use when conducting technology evaluations, comparing solutions, analyzing papers, or exploring technical trends.
Core visual design principles that underpin all great design. Master gestalt psychology, visual hierarchy, composition, color theory, and typography fundamentals. Use when making design decisions or evaluating designs against proven principles.
Plan and (when feasible) implement or execute user acceptance tests (UAT) / end-to-end acceptance scenarios. Converts requirements or user stories into acceptance criteria, test cases, test data, and a sign-off checklist; suggests automation (Playwright/Cypress for web, golden/snapshot tests for CLIs/APIs). Use when validating user-visible behavior for a release, or mapping requirements to acceptance coverage.
Designs and writes high-quality Agent Skills (SKILL.md + optional reference files/scripts). Use when asked to create a new Skill, rewrite an existing Skill, improve Skill structure/metadata, or generate templates/evaluations for Skills.
Code quality gatekeeper and auditor. Enforces strict quality gates, resolves the AI verification gap, and evaluates codebases across 12 critical dimensions with evidence-based scoring. Use when auditing code quality, reviewing AI-generated code, scoring codebases against industry standards, or enforcing pre-commit quality gates. Use for quality audit, code review, codebase evaluation, security assessment, technical debt analysis.
Evaluate designs for usability, visual hierarchy, consistency, and adherence to design principles. Trigger with "what do you think of this design", "give me feedback on", "critique this", "review this mockup", or when the user shares a design and asks for opinions.
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.