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Found 1,675 Skills
Complete SEO skill for technical audits (Core Web Vitals, site speed, crawlability/indexation, robots/sitemaps/canonicals, structured data, mobile, security, internal linking), SEO marketing strategy (keyword research, content planning, competitive analysis, E-E-A-T), operational workflows (cross-team collaboration, OKRs), link building, local SEO, international SEO (hreflang), and multi-platform SEO (Google, YouTube, Reddit, social). Updated for January 2026.
Paid advertising strategy for Google, Meta, TikTok, LinkedIn - campaign structure, bidding, audiences, creative, measurement, budget allocation, unit economics (CAC/LTV), revenue attribution, incrementality, payback period, and sales alignment.
Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini APIs.
Extract text/tables from PDFs, create formatted PDFs, merge/split/rotate, handle forms and metadata. Supports pdf-lib/pdfkit (Node.js) and pypdf/pdfplumber/ReportLab (Python).
Build accessible web applications following WCAG guidelines. Use when implementing ARIA patterns, keyboard navigation, screen reader support, or ensuring accessibility compliance. Triggers on accessibility, a11y, WCAG, ARIA, screen reader, keyboard navigation.
Use when designing go-to-market strategy, selecting GTM motion (PLG/sales-led), defining ICP, planning product launches, or implementing AI-powered GTM automation. Covers channel selection, growth loops, RevOps alignment, and market entry execution.
Risk-based quality engineering test strategy for software delivery. Use when defining or updating test strategy, selecting unit/integration/contract/E2E/performance/security coverage, setting CI quality gates and suite budgets, managing flaky tests and test data, and operationalizing observability-first debugging and release criteria.
Use when choosing or evaluating a startup revenue model, pricing/value metric, packaging/tier design, or calculating unit economics (LTV, CAC, payback, gross margin, NRR), including usage-based/credit/AI pricing and variable compute/COGS constraints.
Automate browser interactions and web testing. Provides scriptable browser control for web scraping, testing, and automation.
Transform AI-generated text into natural, human-like content that bypasses AI detectors like GPTZero, Turnitin, and Originality.ai. Uses credits based on word count.
Analyze text to detect if it was written by AI. Returns a score from 0-100 with detailed metrics. Use when checking content before publishing or submitting.
Get word count, character count, reading time, and text statistics. Quick analysis without questions.