Skill UI

Automate SEO research directly within Claude Code using Ahrefs: pull backlink lists, keyword matrices, domain authority histories, organic rankings, and batch URL stats for faster audits and competitive tracking.

Automate SEO research directly within Claude Code using Ahrefs: pull backlink lists, keyword matrices, domain authority histories, organic rankings, and batch URL stats for faster audits and competitive tracking.

Orchestrates ConvertKit marketing workflows through Composio's Kit toolkit accessed via Rube MCP, letting you manage subscribers, tags, broadcasts, and stats after fetching the latest tool schemas.

Automate Gong conversation intelligence by using Composio MCP natural-language commands to fetch call recordings, transcripts, analytics, speaker stats, and workspace metadata across date ranges.

Automate TikTok content tasks via the Rube MCP-powered Composio toolkit: upload and publish videos, post photos, monitor publish status, list your media, and pull profile/stats data while following required sequencing and authentication steps.

Provides programmatic access to the CZ CELLxGENE Census (61M+ cells) for querying standardized single-cell expression, metadata, embeddings, and stats across tissues and diseases, supporting scanpy and ML workflows.

Access aggregated OFR hedge fund time series and metadata without auth, covering Form PF stats, repo volumes, futures trader positioning, and leverage/counterparty metrics for risk monitoring or research.

Pysam offers Python bindings to htslib for reading and writing SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences, enabling coverage stats, pileup analysis, variant queries, and seamless integration into NGS pipelines.

Statsmodels is a comprehensive Python library dedicated to advanced statistical modeling and econometrics. It provides tools for rigorous statistical inference, including Ordinary Least Squares (OLS), Generalized Linear Models (GLM), mixed-effects models, and time series analysis (ARIMA). Use this skill for detailed diagnostics, coefficient estimation, hypothesis testing, and producing publication-ready statistical reports in fields like econometrics and biostatistics.

Provides end-to-end guidance for fine-tuning and serving Physical Intelligence’s OpenPI pi0 family (pi0, pi0-fast, pi0.5) with both JAX and PyTorch backends, covering dataset prep, norm stats, checkpoint conversion, and low-latency WebSocket policy inference for ALOHA, DROID, and LIBERO tasks.

Provides a read-only report showing how much the context-mode feature has preserved session data, including token consumption, savings ratio, and tool-by-tool breakdown for evaluating context efficiency.

Automates ConvertKit (Kit) email marketing operations using Composio's toolkit through Rube MCP, covering subscriber lookup, tagging, unsubscribes, broadcast listing, deletion, and stats once the connection is active and the current schemas are fetched.