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Found 1,779 Skills
Java Web dead code cleanup and refactoring expert. It safely identifies and removes dead code, with testing and verification performed at every step. Trigger conditions: User requests for dead code cleanup, refactoring optimization, and unused code removal.
Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.
Profile-driven performance optimization with behavior proofs. Use when: optimize, slow, bottleneck, hotspot, profile, p95, latency, throughput, or algorithmic improvements.
Vite-specific bundle optimization patterns. Use when configuring builds, code splitting, managing dependencies, or troubleshooting slow Vite builds.
Optimize advertising budget allocation across campaigns using marginal returns analysis. Use this skill when the user needs to distribute budget across multiple campaigns, optimize spend pacing, or maximize overall ROAS under budget constraints — even if they say 'how to split my ad budget', 'campaign budget optimization', or 'diminishing returns on ad spend'.
Phase 3 of the issue workflow —— Fix code precisely according to confirmed root causes and solutions, verify the results, and document it in {slug}-fix-note.md. This is the final stage of the issue workflow —— no verification closure means the workflow is incomplete. Two entry points: the standard path is triggered from cs-issue-analyze (with existing {slug}-analysis.md), and the fast track is triggered directly from cs-issue-report (without {slug}-analysis.md, as the root cause was identified by AI through code reading during the report phase). Trigger scenarios: User says "Start fixing the bug", "Fix according to the analysis", "Start modifying the code". During the fix, only modify the files specified in the solution; do not make incidental optimizations or introduce new abstractions —— these actions will cause the scope to expand to an untraceable extent.
Unbounce platform help — landing page builder, Smart Traffic AI optimization, Smart Copy AI copywriting, A/B testing, popups, sticky bars, Dynamic Text Replacement, AMP pages, REST API. Use when landing page built in Unbounce isn't converting, Smart Traffic not improving conversions, A/B test setup in Unbounce, popup or sticky bar not triggering, Unbounce page loads too slowly, choosing between Build vs Experiment vs Optimize plan, connecting Unbounce to CRM or email tool, or Dynamic Text Replacement not working. Do NOT use for general funnel strategy (use /sales-funnel) or general CRO methodology (use /sales-vwo).
Discover PUDA experiment workflows for bears and choose the right experiment for the task. Use when you need to run, set up, or understand a PUDA experiment such as colour mixing optimization.
Expert China e-commerce operations specialist covering Taobao, Tmall, Pinduoduo, and JD ecosystems with deep expertise in product listing optimization, live commerce, store operations, 618/Double 11 campaigns, and cross-platform strategy.
Expert frontend developer specializing in modern web technologies, React/Vue/Angular frameworks, UI implementation, and performance optimization
Optimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot. Use when you want your content to appear in AI-generated answers, not just ranked in blue links. Triggers: 'optimize for AI search', 'get cited by ChatGPT', 'AI Overviews', 'Perplexity citations', 'AI SEO', 'generative search', 'LLM visibility', 'GEO' (generative engine optimization). NOT for traditional SEO ranking (use seo-audit). NOT for content creation (use content-production).
Initialize evo for the current repository by exploring the codebase, proposing unexplored optimization dimensions, constructing the benchmark inside a baseline worktree, and running the first experiment. Use when the user invokes /evo:discover, mentions setting up evo, wants to instrument a codebase for autonomous optimization, or asks to start a new evo run on a project.