markdown-token-optimizer
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.
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138 skills found
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.
Generate diverse landing page narrative angles, define target audiences, and specify required evidence for conversion-focused marketing workflows.
Remove AI-generated patterns and inject natural human voice into your writing. Fixes robotic phrasing, overuse of AI vocabulary, and sterile structure to make text sound authentic.
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
Full-stack automated paper writing pipeline from research narrative to polished LaTeX/PDF.
Coordinates cross-repository updates for GitHub Actions runner configurations, ensuring workflow labels match runner scale sets to prevent job queuing.
Master SEO fundamentals with E-E-A-T, Core Web Vitals tracking, technical optimization, and AI content best practices for improved search visibility.
Automates Moonwell protocol governance proposal lifecycle, from creation and verification to deployment and testing.
Deep document structure analysis and intelligent content extraction for knowledge bases.
Systematically evaluate scholarly work using the ScholarEval framework, providing structured, quantitative, and qualitative assessment across research quality dimensions with actionable feedback.
Detects timing side channels in cryptographic code to prevent secret data leakage. Essential for auditing sensitive implementations.
Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.