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Found 470 Skills
Audit and optimize Convex application performance, covering hot path reads, write contention, subscription cost, and function limits. Use when a Convex feature is slow, reads too much data, writes too often, has OCC conflicts, or needs performance investigation.
Optimize web performance for faster loading and better user experience. Use when asked to "speed up my site", "optimize performance", "reduce load time", "fix slow loading", "improve page speed", or "performance audit".
Use this skill when encountering errors, bugs, performance issues, or unexpected behavior in an InsForge project — from frontend SDK errors to backend infrastructure problems. Trigger on: SDK returning error objects, HTTP 4xx/5xx responses, edge function failures or timeouts, slow database queries, authentication/authorization failures, realtime channel issues, backend performance degradation (high CPU/memory/slow responses), edge function deploy failures, or frontend Vercel deploy failures. This skill guides diagnostic command execution to locate problems; it does not provide fix suggestions.
Inspect and profile React Native component trees from agent-device. Use when debugging React Native props, state, hooks, render causes, slow components, excessive re-renders, or questions like why a component re-rendered.
Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
Professional UI design system — the visual quality gate for all HTML output. MUST USE together with project-builder when building any HTML page, dashboard, landing page, portfolio, or web application. project-builder handles engineering workflow; this skill handles visual design decisions (color palette, typography, layout, animation). Ensures every generated UI looks professional, modern, and unique — never generic AI slop.
Produce distinctive, non-generic UI and design applications well, working strategy-first. Identify the project (landing page, SaaS app, dashboard, ecommerce, presentation, docs, portfolio...) and its positioning and personality, commit to brand adjectives, translate into a typography and color system, then apply the craft layer (layout, components and states, motion, iconography, imagery, dark mode and theming, accessibility), avoiding the AI-slop / Claude-esque default. This is both a de-slop and an expert app-design skill. Use this whenever building or styling any web frontend, app, dashboard, landing page, deck, or artifact, or when the user says "make it not look like AI", "de-slopify", "deslop", "less generic", "give it character", "design a UI for X", "design an app", "update DESIGN.md", or complains the output looks like every other AI site. Trigger even when the user just says "build a UI for X" without naming an aesthetic, because the default without this skill is slop.
Create award-winning, cinematic frontend interfaces that feel ALIVE. Combines 10+ years of creative frontend experience with technical excellence. Specializes in WebGL, custom shaders, premium animations, and distinctive aesthetics that would win on Awwwards. Use when building landing pages, dashboards, platforms, or any interface where "generic AI slop" is unacceptable.
Remove AI-generated code slop from branches. Use after AI-assisted coding sessions to clean up defensive bloat, unnecessary comments, type casts, and style inconsistencies. Focuses on identifying and removing AI artifacts that degrade code quality.