kevinnft

Inspect codebases w/ pygount: LOC, languages, ratios.

Create production-ready public GitHub repositories with comprehensive documentation, automated setup, and quality assurance

Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

Generate project ideas via creative constraints.

Systematic VPS cleanup — analyze files, categorize by importance, safely delete temporary/old data to free disk space

Create, triage, label, assign GitHub issues via gh or REST.

Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.

Throwaway experiments to validate an idea before build.

Analyze NFT projects for investment decisions — evaluate fundamentals, identify red flags, assess risk, and provide buy/hold/avoid recommendations

ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.

Use cloud browser services (Browserbase) for Cloudflare bypass, JavaScript rendering, and stealth scraping when local tools fail