iterate
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
487 skills found
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
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.
A command-line tool to list, configure, authenticate, call, and inspect Model Context Protocol (MCP) servers via HTTP or stdio.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.
Expert development guide for the Jean Claude orchestration framework. Use for source code changes, architecture, testing, and debugging.
Comprehensive API test automation suite supporting REST/GraphQL. Features functional, performance, and contract testing with integrated Mock services.
Token-efficient virtual task management for AI-assisted development. Manage task lifecycles, dependencies, and TDD workflows with surgical context injection.
A framework for building modular AI agent rigs using Nix, featuring parametrable skills, knowledge management, and automated tool configuration.
Deploy isolated development containers with web-accessible VSCode, VNC, and automated app routing via Traefik or Cloudflare Tunnels.
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.