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Found 1,124 Skills
Neta API space and world‑view browsing skill — browse worldbuilding, sub‑spaces, and playable content by space/hashtag. Use this skill when the user talks about worlds/spaces/universes/scenes, or wants to browse characters and gameplay based on space and activity structure. Do not use it for concrete media creation (handled by neta-creative).
Deploy frontend assets to the IC. Covers certified assets, SPA routing with .ic-assets.json5, custom domains, content encoding, and programmatic uploads. Use when hosting a frontend, deploying static files, configuring custom domains, or setting up SPA routing on IC. Do NOT use for canister-level code patterns.
Comprehensive guide for implementing Syncfusion WPF Sparkline (SfSparkline) controls in Windows Presentation Foundation applications. Use this when working with sparklines, mini charts, or trend visualization. This skill covers sparkline types (line, column, area, WinLoss), markers, track ball, range bands, axis controls, and segment customization for compact data visualization in WPF applications.
Use when computing orbits, planning maneuvers, propagating trajectories, or analyzing orbital perturbations for spacecraft or celestial bodies. Use when "orbit, trajectory, maneuver, delta-v, Hohmann, Keplerian, perturbation, J2, TLE, orbital elements, semi-major axis, eccentricity, inclination, RAAN, spacecraft propagation, Lambert solver, interplanetary, " mentioned.
Apply Spatie's Laravel and PHP coding standards for any task that creates, edits, reviews, refactors, or formats Laravel/PHP code or Blade templates; use for controllers, Eloquent models, routes, config, validation, migrations, tests, and related files to align with Laravel conventions and PSR-12.
Scan disk space usage, identify safely deletable caches, compilation artifacts, installation packages, etc., and perform interactive cleanup to free up space
Use this skill first for any SpacetimeDB task; it routes to focused skills for modules, tables, reducers, procedures, views, clients, subscriptions, CLI commands, auth, RLS, HTTP APIs, SQL, deployment, serialization, tutorials, quickstarts, and upgrades. Triggers on: spacetime, spacetimedb, SpacetimeDB, stdb, module, reducer, table, procedure, view, subscription, DbConnection, spacetime generate, spacetime publish, spacetime sql, BSATN, SATS, row-level security, RLS, Maincloud, standalone, Unity, Unreal.
Implement Syncfusion React Sparkline components for compact, inline data visualization. Use this when working with sparklines, mini charts, or trend indicators in constrained spaces. This skill covers all 5 sparkline types (line, column, area, win-loss, pie), tooltips, markers, data labels, range bands, axis customization, and themes. Ideal for displaying data trends within grids, dashboards, or tables without full-sized charts.
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.
Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.
Gamified codebase onboarding through the Spaghetti Code Monster. Use when a developer wants to learn a new codebase through investigation, deep-dive challenges, and the Monster's guidance.