deep-thinking
A deep reasoning protocol that ensures systematic analysis, multi-hypothesis generation, and rigorous verification for complex architectural, debugging, and high-stakes tasks.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
313 skills found
A deep reasoning protocol that ensures systematic analysis, multi-hypothesis generation, and rigorous verification for complex architectural, debugging, and high-stakes tasks.
A rigorous TDD workflow agent that enforces test-first development, ensuring 80%+ code coverage across unit, integration, and E2E tests for features, bug fixes, and refactoring.
Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Emergency recovery suite for Vercel-hosted projects. Manage deployment rollbacks, database migration reverts, cache invalidation, and health verification workflows.
Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.
A powerful CLI tool for image compression and conversion, supporting batch processing, multiple engines (mozjpeg, pngquant, sharp, etc.), format conversion (WebP, AVIF), and recursive directory optimization.
A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.
Enables multi-tenant isolation for AI agent swarms, ensuring strict data separation, process isolation, and secure resource management between deployments.