titan-gauntlet
Audit codebase files against the 4-pillar quality manifesto using RECON work batches, with batch processing and context budget management (Titan Paradigm Phase 2)
Browse AI and ML workflow skills for model integration, prompt engineering, evaluations, and LLM automation across major IDEs.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Audit codebase files against the 4-pillar quality manifesto using RECON work batches, with batch processing and context budget management (Titan Paradigm Phase 2)
Claude Code Session Dashboard — local observability for ~/.claude sessions
A scalable, multi-language code analysis framework based on Tree-sitter, usable both as a CLI tool and an MCP server.
一个开源的,现代设计的LLMS/人工智能聊天框架。支持多人工智能供应商(OpenAI/Claude 3/Gemini/Ollama/Bedrock/Azure/Mistral/Conspirity),多模态(Vision/TTS)和插件系统。一键免费部署您的私人ChatGPT聊天应用程序。Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ),
From Vibe Coding to Production in Days, Not Months - A production-ready full-stack template with AI-native development workflow
Don't let AI destroy your hard work! HardStop is a rock-solid protection for AI-generated commands. Pre-execution safety validation for Claude Code, Claude Cowork. Catches dangerous commands before they run: whether from AI mistakes, hallucinations, prompt injection, or misunderstood instructions. Seatbelts for the agentic AI era.
GitHub PR 스킬은 코드 리뷰를 자동화하기 위한 AI 에이전트 스킬
Tools that make Agents better
Persistent semantic memory for Claude Code via Qdrant. Store, search, and retrieve context across sessions.
Run multiple coding agents in parallel on your own cloud VMs.
The design-rules skill provides guidelines for producing high-quality design specs, streamlining the development process for AI coding agents and benefiting developers.
Assess competitor defensibility and define our own moat strategy during PRD v0.3 Commercial Model. Triggers on requests to analyze competitor moats, define our defensibility, assess switching costs, identify vulnerabilities, find wedge opportunities, or when user asks whats our moat?, how defensible are they?, where can we compete?, switching costs?, defensibility, who to target. Consumes Competitive Landscape (v0.2) CFD- entries. Outputs CFD- entries for competitor moats and BR- entries for targeting rules and our defensibility strategy.