Skills
Discover and install skills to enhance Claude Code.
520 skills found - Clear filters
correlation-analyzer
Analyze correlation analyzer operations. Auto-activating skill for Data Analytics. Triggers on: correlation analyzer, correlation analyzer Part of the Data Analytics skill category. Use when analyzing or auditing correlation analyzer. Trigger with phrases like "correlation analyzer", "correlation analyzer", "analyze correlation r".
agent-performance-benchmarker
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
first-order-model-fitting
Fit first-order dynamic models to experimental step response data and extract K (gain) and tau (time constant) parameters.
forecasting-time-series-data
This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks to predict future values of a time series, analyze trends in data over time, or requires insights into time-dependent data. Trigger terms include "forecast," "predict," "time series analysis," "future values," and requests involving temporal data.
chroma
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
memory-system-v2
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work/decisions.
pandas-data-analysis
Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib
naver-stock
Fetch text-based real-time stock prices (KRX, Overseas) using Naver Finance.
jo4
URL shortener, QR code generator, and link analytics API. Create short links, generate QR codes, and track click analytics.
serpapi-mcp
Run SerpAPI searches via SerpAPI's MCP server using mcporter. Use when the user asks to search the web with SerpAPI/SerpAPI MCP, wants SerpAPI inside Clawdbot, or to use the /serp command.
d3js-visualization
Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes/scales, legends, tooltips, or data-driven SVG output.
backend-testing
Backend testing with xUnit, Foundatio.Xunit, integration tests with AppWebHostFactory, FluentClient, ProxyTimeProvider for time manipulation, and test data builders. Keywords: xUnit, Fact, Theory, integration tests, AppWebHostFactory, FluentClient, ProxyTimeProvider, TimeProvider, Foundatio.Xunit, TestWithLoggingBase, test data builders
dbt-model-generator
Dbt Model Generator - Auto-activating skill for Data Pipelines. Triggers on: dbt model generator, dbt model generator Part of the Data Pipelines skill category.
string-database
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
tooluniverse-precision-oncology
Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.
setting-up-experiment-tracking
Implement machine learning experiment tracking using MLflow or Weights & Biases. Configures environment and provides code for logging parameters, metrics, and artifacts. Use when asked to "setup experiment tracking" or "initialize MLflow". Trigger with relevant phrases based on skill purpose.
data-analysis
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.
engineering-features-for-machine-learning
This skill empowers Claude to perform feature engineering tasks for machine learning. It creates, selects, and transforms features to improve model performance. Use this skill when the user requests feature creation, feature selection, feature transformation, or any request that involves improving the features used in a machine learning model. Trigger terms include "feature engineering", "feature selection", "feature transformation", "create features", "select features", "transform features", "improve model performance", and similar phrases related to feature manipulation.