Explore our collection of Agent Skills to enhance your AI workflow.
Manages Aptos blockchain interactions, wallet operations, and decentralized exchange integrations through the Model Context Protocol.
Transforms disparate infrastructure documentation, runbooks, and operational knowledge into structured, actionable Claude Code skills.
Prevents terminal session crashes by ensuring the current working directory is not deleted during file removal operations.
Generates comprehensive integration tests for multi-DocType workflows and complex business processes in the Frappe Framework.
Masters ES6+ features and functional programming patterns to refactor legacy code and write clean, performant JavaScript.
Builds complex, multi-component React artifacts for Claude.ai using modern frontend stacks and professional UI libraries.
Compares two documents semantically to identify functional and structural differences while preserving logical relationships.
Tracks active AI subagents, monitoring token usage and context limits to ensure reliable multi-agent orchestration.
Orchestrates autonomous Claude Code subagents in isolated git worktrees for concurrent, mechanical task execution.
Enables automatic identification and tracking of unique Claude Code conversation sessions through variable substitution.
Manages Gmail communications directly within Claude using secure 1Password credential storage and IMAP/SMTP protocols.
Facilitates prediction markets for protocol standard evolution using multiverse finance and GF(3) fitness signals.
Accelerates codebase exploration by combining file searching and reading into a single, high-performance operation.
Generates production-ready Frappe Framework workflows for document state management and automated approval processes.
Automates the end-to-end release lifecycle for Claude Code plugins including versioning, tagging, and migration management.
Removes code patterns across multiple files using strict validation and automatic backups to prevent accidental data loss.
Automates systematic data profiling and exploration across multiple SQL database dialects.
Automates the process of merging task branches into base branches using linear history and worktree-aware workflows.
Compares two autonomy branches to evaluate divergent technical approaches, metrics, and experimental outcomes.
Orchestrates multiple independent subagents concurrently to maximize development throughput and bypass context window limitations.
Extracts and reports work products, commit history, and token metrics from completed or interrupted Claude Code subagents.
Performs code reviews using a rigorous methodology based on confidence scoring and severity ratings.
Establishes a structured framework for tracking and optimizing long-term, open-ended objectives within your project.
Implements features and fixes bugs using a disciplined Red-Green-Refactor cycle to ensure verified, high-quality code.
Renders beautiful, emoji-aware terminal boxes and tables with precise character-level alignment and box-drawing characters.
Automates file system organization by analyzing directory structures, identifying duplicates, and suggesting logical folder hierarchies.
Automates the creation of production-ready project structures with integrated dependency tracking and multi-phase lifecycle management.
Implements production-grade network services and resilient patterns using the Tokio ecosystem, Hyper, Tonic, and Tower.
Calculates statistical power and determines required sample sizes for research studies to ensure experimental rigor and reproducibility.
Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible algorithms.
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