GitHub
system-review
deeply review a system/architecture area and propose a simplification plan (Elon’s Algorithm).
☆ 0View skill
ianwatts22 AI Skills
GitHub ↗Browse published AI skills maintained by ianwatts22. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
9Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Popular categories
Recent indexing activity
Browse skills
GitHub
convex-migration
guidance on how to properly do data migrations in Convex
☆ 0View skill
GitHub
ai-image-tools
Generate and edit images using either OpenAI GPT Image 1.5 or Google's Nano Banana Pro (Gemini 3 Pro Image). Use when the user asks to generate/create/edit/modify images. Supports image-to-image editing for bot...
☆ 0View skill
GitHub
recenter-reflect
recenter on where we are, what's done/left, and where necessary reflect on our work's principle compliance, performance, and pristineness.
☆ 0View skill
GitHub
explore
Systematically explore a codebase area and find/fix obvious issues with fresh eyes.
☆ 0View skill
GitHub
dev-browser
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go...
☆ 0View skill
GitHub
git-hygiene
How to track our work through commits, pull-requests, and pushes. Maintain proper git hygiene in our chaotic, multi-agent environment through atomic commits, with the option to have code reviewed by AI agents w...
☆ 0View skill
GitHub
simplify
ruthlessly simplify systems (delete first, DRY, SSOT, leverage libraries)
☆ 0View skill
GitHub
flesh-out
flesh out our plan by filling in gaps and clearly building out the specfification
☆ 0View skill
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.