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abdoulayesow AI Skills

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Browse published AI skills maintained by abdoulayesow. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

8

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

8 skills

Browse skills

GitHub

summary-generator

abdoulayesow

Generates session summaries and resume prompts for multi-session work. Use when completing features, before context limits (~50% capacity), or when user says "summary", "wrap up", "save progress", "end session"...

GitHub

nextjs-neon-performance-optimizer

abdoulayesow

Comprehensive performance analysis and optimization for Next.js applications using Neon Postgres. Identifies bottlenecks across frontend, backend, and database layers.

GitHub

new-page

abdoulayesow

Scaffold a new page with proper layout, i18n, and shadcn components. Use when creating new pages. Invoke with "/new-page [path] [description]".

GitHub

summary-generator

abdoulayesow

Generates session summaries and resume prompts for multi-session work. Use when completing features, before context limits (~50% capacity), or when user says "summary", "wrap up", "save progress", "end session"...

GitHub

new-api-endpoint

abdoulayesow

Scaffold a new API endpoint following project patterns. Use when creating new API routes. Invoke with "/new-api-endpoint [path] [methods]".

GitHub

new-component

abdoulayesow

Create a new React component following project patterns. Use when creating reusable components. Invoke with "/new-component [name] [description]".

GitHub

summary-generator

abdoulayesow

Generates session summaries with resume prompts and self-reflection. Use when completing features, before context limits (~50% capacity), or when user says "summary", "wrap up", "save progress", "end session"....

GitHub

nextjs-neon-performance-optimizer

abdoulayesow

Comprehensive performance analysis and optimization for Next.js applications using Neon Postgres. Identifies bottlenecks across frontend, backend, and database layers.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.