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Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

Manage background coding agents in tmux sessions. Spawn Claude Code or other agents, check progress, get results.

CLI utility to communicate with other CLI Agents or Scripts in other tmux panes; use it only when user asks you to communicate with other CLI Agents or Scripts in other tmux panes.

Interactive terminal control via tmux for TUI apps, prompts, and long-running CLI workflows.

Persistent TODO scratch pad for tracking tasks across sessions. Use when user says \

Manages token budget estimation and tracking to prevent context overflow

Token integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity

Multi-provider usage tracking for AI agents. Claude Max, Gemini, and Manus in one dashboard.

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.

This skill should be used when users want to create a new tool for the Strands SDK agent system. It supports creating both agent-as-a-tool (complex agents wrapped as tools) and regular tools (simple function-based tools). Use this skill when users request to create, build, or

This skill should be used when the user asks to \

Implement specialized rendering for Claude Code tools. Use when adding a new tool type (WebSearch, WebFetch, etc.) to the transcript viewer, or when asked to implement tool rendering.

Creates ToolHive release PRs by analyzing commits since the last release, categorizing changes, recommending semantic version bump type (major/minor/patch), and triggering the release workflow. Use when cutting a release, preparing a new version, checking what changed since last

Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs,

Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches. Creates actionable reports with candidate compounds, ADMET profiles, and synthesis feasibility. Use when users ask to find small molecules for a target, identify novel

Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment. Creates comprehensive compound profiles with identifiers, properties, bioactivity, and drug information. Use when users need chemical data, drug

Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, bioactivity, safety profiles, and literature evidence. Use when exploring drug

Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections. Covers identity, chemistry, pharmacology, targets, clinical trials, safety, pharmacogenomics, and ADMET properties. Use when users ask about drugs,

Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports. Creates comprehensive dataset profiles with metadata, sample information, and download links. Use when users need

Rapid pathogen characterization and drug repurposing analysis for infectious disease outbreaks. Identifies pathogen taxonomy, essential proteins, predicts structures, and screens existing drugs via docking. Use when facing novel pathogens, emerging infections, or needing rapid

Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves

Analyze drug safety signals from FDA adverse event reports, label warnings, and pharmacogenomic data. Calculates disproportionality measures (PRR, ROR), identifies serious adverse events, assesses pharmacogenomic risk variants. Use when asked about drug safety, adverse events,

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

Retrieves protein structure data from RCSB PDB, PDBe, and AlphaFold with protein disambiguation, quality assessment, and comprehensive structural profiles. Creates detailed structure reports with experimental metadata, ligand information, and download links. Use when users need

Design novel protein therapeutics (binders, enzymes, scaffolds) using AI-guided de novo design. Uses RFdiffusion for backbone generation, ProteinMPNN for sequence design, ESMFold/AlphaFold2 for validation. Use when asked to design protein binders, therapeutic proteins, or

Provide differential diagnosis for patients with suspected rare diseases based on phenotype and genetic data. Matches symptoms to HPO terms, identifies candidate diseases from Orphanet/OMIM, prioritizes genes for testing, interprets variants of uncertain significance. Use when

Build AI scientist systems using ToolUniverse Python SDK for scientific research. Use when users need to access 1000++ scientific tools through Python code, create scientific workflows, perform drug discovery, protein analysis, genomics analysis, literature research, or any

Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need

Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open

Compress JSON data to TOON format for ~40% context savings. Use when fetching APIs, reading JSON files, or any task outputting structured data. Pipe any output through `toon` - JSON gets compressed, non-JSON passes through unchanged.

This skill should be used when the user asks to \

Monitor topics of interest and proactively alert when important developments occur. Use when user wants automated monitoring of specific subjects (e.g., product releases, price changes, news topics, technology updates). Supports scheduled web searches, AI-powered importance

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

a read-only lending market scanner that discovers Torch Market positions, profiles borrower wallets, and scores loan risk. Optionally executes liquidations when the user provides a wallet keypair.

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.

Export torchscript exporter operations. Auto-activating skill for ML Deployment.\nTriggers on: torchscript exporter, torchscript exporter\nPart of the ML Deployment skill category. Use when working with torchscript exporter functionality. Trigger with phrases like \

Friendly onboarding when users ask about capabilities

Brand voice editor trained on the Tone u0026 Writing Style Guide. Reviews copy for alignment with intimate, bold, consent-forward, sex-positive tone. Audits microcopy, red flags, lexicon, rhythm, consent framing, and channel-specific patterns.

Show agent flow trace timeline and summary

Automatically trace Claude Code conversations to Braintrust for observability.\nCaptures sessions, conversation turns, and tool calls as hierarchical traces.

Trace bitmap images (PNG/JPG/WebP) into clean SVG paths using potrace/mkbitmap. Use to convert logos/silhouettes into vectors for downstream CAD workflows (e.g., create-dxf etch_svg_path) and for turning reference images into manufacturable outlines.

Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.

This skill enables Claude to track and optimize application response times. It uses the response-time-tracker plugin to monitor API endpoints, database queries, external service calls, frontend rendering, and background job execution. The plugin calculates P50, P95, and P99

Track cryptocurrency futures, options, and perpetual swaps with funding rates, open interest, liquidations, and comprehensive derivatives market analysis.\nUse when monitoring derivatives markets, analyzing funding rates, tracking open interest, finding liquidation levels, or

Track cryptocurrency portfolio with real-time valuations, allocation analysis, and Pu0026L tracking.\nUse when checking portfolio value, viewing holdings breakdown, analyzing allocations, or exporting portfolio data.\nTrigger with phrases like \

Track real-time cryptocurrency prices across exchanges with historical data and alerts.\nProvides price data infrastructure for dependent skills (portfolio, tax, DeFi, arbitrage).\nUse when checking crypto prices, monitoring markets, or fetching historical price data.\nTrigger

This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control for AI/ML models. Use this skill