Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Structures product discovery using an Opportunity Solution Tree based on Teresa Torres' Continuous Discovery Habits. Maps desired outcomes to opportunities, solutions, and experiments to guide what to build next.
Synthesizes performance metrics, audience analysis, and content patterns into concrete recommendations. Prioritizes next steps and opportunities to improve social media results and growth.
Improve interface performance across loading speed, rendering, animations, images, and bundle size. Makes experiences faster and smoother.
Tests combinations of strategy parameters using VectorBT. Generates heatmaps to visualize optimization results.
Guides audio load types, platform-appropriate sample rates and codecs, and mono settings for 3D audio. Reduces memory use and AudioMixer CPU costs from deep group hierarchies or effects on silent paths while considering playback quality.
Improves content for AI search platforms such as ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Covers answer engine optimization, AI citations, and visibility in zero-click search.
Optimizes data processing, machine learning, graph, image, simulation, and file-I/O workloads using CUDA and GPU libraries. Covers profiling, memory transfers, kernel performance, and multi-GPU bottlenecks.
Covers font stacks, dynamic fallback atlases, padding, sampling, SDF16, AutoSize, and worldspace versus UGUI rendering. Addresses CJK and mixed-script fonts, alignment, localization, glyph generation, and font memory profiling.
Addresses build size, browser stutter, battery use, and CDN or server compression for Unity web deployments. Covers resource stripping, shader variant reduction, KTX textures, quality settings, and web profiling.
Improves slow EF Core and DbContext queries and data-access paths. Applies whether or not EF Core manages the database schema; excludes Dapper and raw ADO.NET.
Combines volatility surface data, option pricing with Greeks, and historical prices. Supports volatility premium assessment and evaluation of volatility trading strategies.
Visualizes profit and loss for single or multi-leg options positions with interactive parameter controls. Extracts trade details from descriptions or broker screenshots and uses defaults for missing information.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name