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.
296 skills found
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Donate to 501(c)(3) nonprofits onchain via Endaoment. Look up charities by EIN or name, make USDC donations, and deploy donor-advised fund entities directly from your agent.
A framework for building modular AI agent rigs using Nix, featuring parametrable skills, knowledge management, and automated tool configuration.
A toolkit for writing high-quality agent skills (SKILL.md files) for ClawdHub/MoltHub, covering structure, frontmatter schemas, content patterns, and agent-consumable documentation best practices.
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
Build React applications using React Router's data mode (createBrowserRouter/RouterProvider) for loaders, actions, fetchers, and optimistic UI without the Vite framework plugin.
Comprehensive SEO and GEO optimization suite. Use to analyze domains, find keyword gaps, research backlinks, and generate autocomplete search suggestions using DataForSEO.
Manually finalize and submit AI agent responses to Claude. Use when automatic synchronization fails or to manually curate findings.
An intelligent generator for Claude Code Skills that automates the creation of structured prompts, YAML frontmatter, and supporting file architectures.
A framework for building modular, reusable agent skills. Provides guidelines for structuring SKILL.md, bundled scripts, references, and assets to extend Claude's capabilities.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.