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Found 1,580 Skills
Use this skill to use Liquid variables in LookML for dynamic SQL, HTML, and Links, including advanced patterns for query optimization.
[Hyper] Create integrated SEO, AEO, GEO, and LLMO audits and optimization reports. Use for on-page, technical, content, Core Web Vitals, answer-engine, generative-engine, AI search visibility, metadata, citation readiness, or score-improvement loops saved under `.hypercore/seo-maker/[slug]/`.
[Hyper] Optimize an existing codebase through baseline-first experiments, binary evaluation, and one-mutation-at-a-time iteration. Use for codebase autoresearch, measured bottleneck reduction, benchmarked code optimization, and evidence-backed refactors.
Use when working with ANY Docker task: writing Dockerfiles, configuring docker-compose/compose.yml, multi-stage builds, docker-bake.hcl, container security audits, .dockerignore optimization, or CI/CD container testing. Triggers on: Dockerfile, docker-compose, container, image build, multi-stage, docker bake, compose.
Run automated Lighthouse audits for Core Web Vitals and SEO. Use when: checking page performance; auditing SEO technical issues; monitoring Core Web Vitals; comparing before/after optimization; batch auditing multiple URLs
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
Design GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
Analyzes Remotion compositions for performance issues and provides optimization recommendations. Identifies expensive computations, unnecessary re-renders, large assets, memoization opportunities, and architecture improvements. Use when optimizing render times or when asked to "improve performance", "speed up renders", "optimize Remotion video".
This skill is used when users explicitly request "LaTeX template optimization", "style parameter alignment", "pixel-level comparison", "make-latex-model" or the old notation "make_latex_model", or when they want to turn a project in ChineseResearchLaTeX into a high-quality template. It supports four product lines: NSFC / paper / thesis / cv; first determine whether to modify the project layer or the public package based on the actual hierarchy of packages/ and projects/, then use the official build entry of each product line for acceptance. If modification to the public packages under packages/ is necessary, a regression plan for affected templates must be generated first and relevant regression completed; the NSFC special tool is only used on demand when it clearly falls into the NSFC parameter alignment scenario.
General performance optimization techniques for Motoko. Reducing allocations, efficient Text building, fixed-width arithmetic, block processing, async patterns, and more. Load when you need to improve hot paths or reduce overhead without changing behavior.
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.