skill-code-review
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
228 skills found
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
An intelligent generator for Claude Code Skills that automates the creation of structured prompts, YAML frontmatter, and supporting file architectures.
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.
A template skill for creating project-specific AI agent guidelines, defining architecture, file structures, and code patterns for deterministic development.
Interactive guide for workspace discovery, providing access to specialist agents, automated workflows, CLI tools, and active lifecycle hooks.
Delegates coding tasks to the OpenAI Codex CLI for features, refactoring, PR reviews, and automated issue fixing within Git repositories.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Python coding assistant providing best practices, PEP 8 enforcement, automated testing with pytest, and dependency management using uv.
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
A project-specific architectural template for Next.js 15, FastAPI, and Supabase applications, including structured AI integration patterns.
Guide for integrating and managing custom Model Context Protocol (MCP) servers within the Cursor IDE environment.