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Found 1,747 Skills
The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment.
Verify your own completed code changes using the repo's existing infrastructure and an independent evaluator context. Use after implementing a change when you need to run unit or integration tests, check build or lint gates, prove the real surface works with evidence, and challenge the changed code for clarity, deduplication, and maintainability. If the repo is not verifiable yet, hand off to `agent-readiness`; if you are reviewing someone else's code, use `review`.
Orchestrates multi-advisor council debates on high-impact architecture, technology, or product decisions. Dispatches 3-5 domain archetype subagents (pragmatic-engineer, architect-advisor, security-advocate, product-mind, devils-advocate, the-thinker) through opening statements, tensions, position evolution, and synthesis phases. Preserves dissent and delivers actionable recommendations with captured risks. Use when evaluating trade-offs, stress-testing a PRD or tech spec, resolving dilemmas with multiple viable options, or when a decision needs diverse expert perspectives. Don't use for simple yes/no questions, factual lookups, creative brainstorming without tradeoffs, or tasks where a single expert perspective suffices.
A Python CLI for interacting directly with the user's running Chromium browser via the Chrome DevTools Protocol (CDP). Connects via WebSocket to inspect pages, extract data, evaluate JS, and automate UI actions in open tabs. Requires explicit user approval; a background daemon ensures the "Allow debugging" prompt only requires one approval per tab.
Single-page SEO audit: deep content quality evaluation using Google's E-E-A-T framework, Helpful Content guidelines, on-page SEO factors, search intent alignment, technical signals, and readability analysis. Fetches GSC performance data for that specific page, crawls the live HTML, evaluates metadata, schema markup, internal linking, content depth, and produces a scored report with actionable fixes. Use this skill whenever the user wants to analyze a specific page or URL — not the whole site. Trigger on: "analyze this page", "audit this URL", "how is this page doing", "evaluate my blog post", "check this landing page", "page SEO", "content quality check", "is this page good enough", "review this page's SEO", "what's wrong with this page", "how can I improve this page", "page analysis", "single page audit", "content audit for [URL]", or any request that names a specific URL/page for SEO evaluation. If the user provides a specific URL (not just a domain), this is likely the right skill — use /seo-analysis for full-site audits instead.
Persistent project-scoped store for deep research on large topics. Use for substantive questions - comparing libraries, evaluating tools, surveying solutions to hard problems. Not for plan notes, not for small facts, not for code-level decisions, not for ideas.
Analyze whether TikTok or Instagram search traffic is a viable growth channel for your business. Uses ScaleBrick's framework to evaluate demand, competition, content fit, and intent categories. Ends with a go/no-go recommendation.
UI and design review: evaluate visual quality, responsive behavior, accessibility, color/contrast, typography, layout consistency, and i18n readiness using browser-based validation against industrial standards.
Builds production AI/ML systems — model training, fine-tuning, MLOps pipelines, model serving, evaluation frameworks, RAG optimization, and agent orchestration at scale. Use when the user asks to build, train, or deploy ML models, set up MLOps pipelines, optimize RAG systems, create inference endpoints, or design production AI agents.
[production-grade internal] Receives, evaluates, and validates client information before action — structured elicitation, critical evaluation, feasibility analysis, and information completeness gatekeeping. Ensures requirements are complete, consistent, and feasible before handing off to Product Manager. Routed via the production-grade orchestrator.
Run a pre-submission citation and reference audit for LaTeX academic papers. Use this skill whenever the user wants to verify that BibTeX entries are correct, every citation key in TeX resolves, every figure/table/equation/section reference is valid, DOI/arXiv/OpenReview/proceedings metadata matches the cited work, citation claims are supported by the cited paper, or a paper is ready for submission with clean references.
Adversarial reading methodology for narrative fiction — find what doesn't work, not confirm what does. Focus-area driven with dedicated resources per area. Use when reviewing drafts, evaluating prose quality, or assessing changes at any stage.