740 free skills
Performance skills
Skills for performance — profiling, caching strategy, database query tuning, and frontend load-time optimization.
Sourced from real, public repositories — synced daily, never invented.
740 free skills
Skills for performance — profiling, caching strategy, database query tuning, and frontend load-time optimization.
Sourced from real, public repositories — synced daily, never invented.
15 tools across six categories
13 of them never send your data anywhere
Free · No signup · No trial clock
SEE THE DIRECTORY

CSS
clawic/skills
Write modern CSS with proper stacking contexts, layout patterns, responsive techniques, and performance optimization.
pandas-pro
nkseth/copilot-dev-skills
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
pandas-pro
zroman88/claude-skills-to-cursor
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
pandas-polars
projectious-work/aibox
DataFrame operations with pandas and polars including groupby, joins, reshaping, and performance optimization. Use when manipulating tabular data, choosing between pandas and polars, or optimizing DataFrame code.
fabric-pandas-perf-remediate
patrickgallucci/fabric-skills
Troubleshoot and optimize pandas performance in Microsoft Fabric Spark notebooks. Use when diagnosing slow pandas operations, toPandas() out-of-memory errors, pandas API on Spark (pyspark.pandas) bottlenecks, DataFrame conversion failures, collect() memory issues, driver memory exhaustion, notebook cell timeouts, or when optimizing pandas workloads for Fabric capacity. Covers pandas vs Spark DataFrame conversion, memory profiling, broadcast joins, shuffle tuning, resource profiles, and Native Execution Engine integration.
pandas-pro
thienanthx/skill-web-design
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
pandas-pro
krypton-kr36/claude-code-skills
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
pandas-pro
yo-steven/claude-skills-exploration-20260522
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
pandas-pro
coopyrightdmin/claude-skills
Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.
pandas-pro
polip/opencode-skills
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
pandas-pro
hosseinmirzapur/opencode-skills
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
pandas-pro
seltherpython/opencode-skills
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
spark-engineer
tomevault-io/tomes
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
spark-engineer
coopyrightdmin/claude-skills
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
convex-firecrawl-scrape
suarja/ideomobile
Scrape any URL and get clean markdown, HTML, screenshots, or structured JSON - with durable caching and reactive queries. Use this skill whenever working with Firecrawl Scrape or related Convex component functionality.
kotlin-gradle-plugin
trancee/meshlink-old3
Kotlin Gradle Plugin (KGP) reference for configuring Kotlin compilation in Gradle projects. Covers applying the plugin, JVM toolchains, compiler options, dependencies, serialization/all-open/KSP plugins, incremental compilation, build caching, the Kotlin daemon, and best practices. Use when configuring a Kotlin project's Gradle build, setting compiler options, migrating from kotlinOptions to compilerOptions, setting up JVM toolchains, optimizing Kotlin build performance, or asked about KGP features like "how to set jvmTarget", "how to configure compiler options", "kotlin incremental compilation", or "migrate kotlinOptions".
godot-shader-developer
itzfaisal/agency-agents
Godot 4 visual effects specialist - Masters the Godot Shading Language (GLSL-like), VisualShader editor, CanvasItem and Spatial shaders, post-processing, and performance optimization for 2D/3D effects
fs-mobile-api
fernandoserra/skills
Audita el diseño de networking/API de una app Expo/React Native — cliente HTTP centralizado, timeouts, retry con backoff, manejo de errores, refresh token, paginación, cache, cancelación de requests y conciencia de conectividad. Revisión estática de código (grep de patrones fetch/axios). Usar cuando el usuario pida auditar/mejorar el cliente de API, revisar manejo de refresh token, timeouts, retry, paginación o caching de requests en una app móvil.
hops-eda-checklist
logicalclocks/hopsworks-api
The dimensions to cover when doing EDA on feature-view training data before training a model in Hopsworks, covering dataset profiling, target analysis, per-feature analysis, and leakage detection. Force into context when planning or reviewing EDA, deciding what to profile, or checking for label leakage and train/test contamination. Reference companion to the hops-eda action skill.
2030ai-seo-geo-skill
2030ai/2030ai-seo-geo-skill
/2030ai-seo-geo-skill — operator skill for SEO, GEO/AI search visibility, and search-driven conversion work. Use for SEO/GEO audits, technical search visibility, PageSpeed Insights/Lighthouse/Core Web Vitals analysis, AI Overviews/ChatGPT/Claude/Perplexity readiness, Yandex/Google visibility, robots/sitemap/llms.txt/schema checks, content citability, Russian-market SEO specifics, creating prioritized implementation backlogs, applying fixes in a local repo, verifying results, and tracking progress over time.