Explore our collection of Agent Skills to enhance your AI workflow.
Automates the translation of MetaTrader 5 (MQL5) indicators into validated Python implementations for algorithmic trading.
Provides a curated index of high-quality repositories focused on applied category theory, Model Context Protocol (MCP) servers, and advanced scientific computing.
Scans codebases to identify, prioritize, and organize TODO, FIXME, and other actionable comments into structured reports.
Optimizes ClojureScript development by guiding the selection of high-performance runtimes like Babashka, SCI, and Squint.
Automatically updates GitHub pull request titles and descriptions based on the current Jujutsu (jj) change diff.
Provides high-performance bidirectional data navigation and transformation for Julia collections, S-expressions, and ACSets.
Optimizes interaction sequences using information theory and active inference to maximize learning efficiency and information gain.
Integrates Sentry into your development workflow to automate error tracking, production monitoring, and issue triage within Claude.
Provides comprehensive guidance for developing, configuring, and troubleshooting Claude Code plugins and skills.
Architects high-performance cross-platform and native mobile applications with optimized state management and platform-specific best practices.
Configures automated visual regression testing to detect unintended UI changes using pixel-perfect screenshot comparison tools.
Automates the end-to-end execution of agile user stories by managing task implementation, testing, and validation.
Automates GitHub project management using AI swarm coordination for issues, project boards, and sprint planning.
Transforms PRD requirements and architecture decisions into implementation-ready agile epics and detailed user stories.
Validates project documentation and architectural alignment using an adversarial review approach to ensure readiness before implementation begins.
Simulates and debugs complex agent behaviors using ordered locale theory and trifurcated interaction models.
Empowers Claude with deep Zig expertise, version-aware documentation, and over 200 tested code recipes.
Optimizes ClojureScript development by providing expert guidance on selecting the ideal runtime for scripts, browsers, and embedded environments.
Automates a multi-stage pipeline to transform, validate, and optimize natural language requirements into production-ready pseudo-code.
Empowers AI agents with adaptive learning and meta-cognitive capabilities to optimize strategies based on past experiences.
Structures natural language requirements into unambiguous pseudo-code to streamline the Claude Code feature development workflow.
Generates comprehensive API and end-to-end acceptance tests before implementation to ensure code quality and requirement alignment.
Validates pseudo-code requirements to identify missing logic, security gaps, and edge cases before implementation begins.
Generates deterministic, triadic opinions on propositions using a SplitMix64-based hashing algorithm for algorithmic hyperrealpolitik.
Transforms natural language requirements into structured, code-style pseudo-code to eliminate ambiguity and streamline AI development.
Refines and expands natural language requirements into production-ready, structured pseudo-code.
Compresses verbose natural language requirements into token-efficient, structured pseudo-code to optimize AI context window usage.
Generates comprehensive test automation frameworks and architectural setups for agile software development.
Guides developers in selecting and implementing the optimal ClojureScript runtime for scripting, browser, and embedded environments.
Manages Spotify playback, searches the music catalog, and handles playlist organization directly through Claude.
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