237 plugins for Rust development
Transforms Claude into a full-stack expert handling coding, debugging, optimization, architecture, security audits, testing, and deployment across dozens of languages/frameworks like React/Next.js, Python/Django/FastAPI, Go/Rust, Kubernetes/Terraform, plus automates Jira workflows from epic discovery and planning to ticket execution, reviews, and sprint retrospectives.
Develop and debug MQL5 indicators for MetaTrader 5 trading by extracting articles/docs from mql5.com, applying buffer/OnCalculate patterns, analyzing execution logs, porting code to Python for accuracy validation against MT5 data, and operating Linux tick collection pipelines with Parquet output.
Dynamically discover and activate 410+ production-ready skills across 33 domains for expert guidance in frontend, backend, infra, AI/ML, security, devops, and more. Invoke gateway discoverers, delegate to specialized agents for architecture or polyglot engineering, generate new skills, and get project-tailored recommendations via context analysis.
Route Rust development queries through meta-analysis for mechanics (ownership/borrow errors), design patterns (concurrency/async), and domain guidance (embedded/ML/fintech); auto-generate/sync skills from Cargo.toml crates and docs.rs; run LSP navigation/symbol analysis, security audits (cargo-audit/miri), clippy lints, and fetch news/versions/changelogs.
Delegate architecture, implementation, optimization, and debugging of complex applications to specialized AI agents expert in Python/Django/FastAPI, TypeScript/React/Next.js/Angular/Vue, Go, Rust, Java/Spring Boot, PHP/Laravel/Symfony, C#/.NET, mobile (Flutter/React Native/Swift/Kotlin), Elixir/Rails, SQL, and DevOps tools.
Automate complete PRP workflows in GitHub repos: investigate issues with root cause analysis, generate plans and PRDs, execute autonomous Ralph loops for incremental implementation with full validations, perform multi-agent PR reviews and test coverage analysis, smart stage/commit changes, and create PRs.
Evaluate quantitative trading strategies using SOTA metrics: compute non-IID Sharpe ratios (PSR/DSR/MinTRL), ML prediction quality (IC, autocorrelation), range bar backtests against oracles, walk-forward optimization with adaptive epochs, exchange session detection, microstructure forensics on ODB bars, and zigzag pattern classification for crypto markets.
Enables intelligent Rust code analysis and navigation in LSP-compatible editors, delivering real-time diagnostics, go-to-definition, find-all-references, hover documentation, project symbols, and call hierarchy for .rs files.
Delegate end-to-end development tasks to specialized AI agents, skills, and commands in Claude Code to enforce TDD workflows, perform multi-language code reviews and fixes, run security scans and verifications, orchestrate autonomous multi-agent loops, and optimize across TypeScript/JavaScript, Python, Go, Rust, Java, Kotlin, React/Next.js, Docker stacks.
Generate Anthropic Agent Skills for Claude.ai and Claude Code from documentation folders or project codebases in JavaScript, Python, Go, Rust, TypeScript. Interactively build via wizard or templates, audit quality with scores and auto-fixes, test triggers and performance, iterate improvements, and package for distribution as zips or plugins.
Delegate coding tasks to expert AI agents specialized in Python, Go, Rust, Java, JavaScript, PHP, Ruby/Rails, C/C++, SQL, and TypeScript. They proactively write idiomatic code, refactor for performance, implement advanced features like concurrency and generics, add tests with pytest or RSpec, optimize queries/schemas, and handle builds like Cargo.toml or CMake.
Invoke 52 specialized AI skills via @skill-name to automate code reviews/formatting, generate API docs/tests/Dockerfiles/SQL queries/migrations, audit security/deps/secrets, optimize performance/databases, scaffold projects, manage git workflows, and run pre-deployment checks across JS/TS, Python, Go, Rust, Java stacks.