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Found 2,256 Skills
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.
Comprehensive UI and UX design principles for software development. This skill should be used when designing interfaces, implementing user interactions, ensuring accessibility, optimizing performance, and creating responsive layouts. Triggers on tasks involving UI components, user experience flows, accessibility requirements, responsive design, or design system implementation.
Review git diffs, staged changes, and GitHub PRs. Change-focused analysis across seven pillars (Security, Performance, Architecture, Error Handling, Testing, Maintainability, Paranoia) with numeric scoring 1-10. Supports GitHub PR review, staged changes, and arbitrary diffs. Use when: reviewing a PR, reviewing staged changes, reviewing a diff, pre-commit review. Triggers: review PR, review my changes, review the diff, review staged, review-pr, check my changes.
Master Dart/Flutter performance optimization including efficient code patterns, data structure selection, and compilation benefits.
AWS RDS relational database service for managed databases. Use when provisioning databases, configuring backups, managing replicas, troubleshooting connectivity, or optimizing performance.
LOAD THIS SKILL when: reviewing code before PR, user mentions 'code review', 'review', 'pre-PR check', 'code quality audit'. Contains project-specific review checklist covering TRPC, TanStack, Drizzle, security, performance, and Effect patterns.
Use when monitoring Xiaohongshu marketing campaign performance, tracking promotion effectiveness, analyzing advertising ROI, measuring influencer collaboration results, evaluating activity success rates, or optimizing marketing spend allocation
Use when evaluating individual Xiaohongshu post performance, identifying what makes content succeed or fail, extracting viral content patterns, recognizing underperforming content that needs optimization, or comparing performance across different content types and formats
Systematic LLM prompt engineering: analyzes existing prompts for failure modes, generates structured variants (direct, few-shot, chain-of-thought), designs evaluation rubrics with weighted criteria, and produces test case suites for comparing prompt performance. Triggers on: "prompt engineering", "prompt lab", "generate prompt variants", "A/B test prompts", "evaluate prompt", "optimize prompt", "write a better prompt", "prompt design", "prompt iteration", "few-shot examples", "chain-of-thought prompt", "prompt failure modes", "improve this prompt". Use this skill when designing, improving, or evaluating LLM prompts specifically. NOT for evaluating Claude Code skills or SKILL.md files — use skill-evaluator instead.
Expert marketing analytics covering campaign analysis, attribution modeling, marketing mix modeling, ROI measurement, and performance reporting. Use when analyzing campaign ROI, comparing attribution models, optimizing marketing budget allocation, building executive dashboards, or running A/B test statistical analysis.
Response Time Analyzer - Auto-activating skill for Performance Testing. Triggers on: response time analyzer, response time analyzer Part of the Performance Testing skill category.
Use this skill for mathematical code verification. Use when reviewing math-heavy code, verifying algorithm correctness, checking numerical stability, aligning with mathematical standards. Do not use when general algorithm review - use architecture-review. DO NOT use when: performance optimization - use parseltongue:python-performance.