VibeSmith: Local Tool for Detecting Skill Conflicts in Claude Code Projects
What VibeSmith Does
VibeSmith is a local desktop application built to address component management challenges in Claude Code projects. The developer created it after experiencing issues with component sprawl across multiple projects, including global skills in ~/.claude/ shadowing project-level ones with the same name, agents referencing skills that only exist in different projects, and hooks firing in unintended contexts.
Key Features
- Unified view: Shows every skill, agent, command, and hook across all projects plus global components in one place
- Conflict detection: Flags when global and project-level components share the same name, with side-by-side diff and priority indicator
- Dependency graph: DAG visualization showing which skills reference which others, including circular reference detection
- Context cost tracking: Token usage estimate per component to identify dead weight that loads into every conversation
Technical Details
The tool runs locally on macOS and processes data entirely on your machine—nothing leaves your system. It was built because existing solutions like CLI tools only handle file location but not content-level conflicts, and Cursor Marketplace is Cursor-only.
The developer's breaking point came when deleting a skill they thought was unused, only to discover two other skills referenced it, causing agents to silently produce worse output without explicit errors.
📖 Read the full source: r/ClaudeAI
👀 See Also
Slack Plugin for Claude Code: Connect to Slack for Context and Updates
Slack has released a new plugin for Claude Code that enables connection to Slack for search, messaging, and document creation. The plugin allows Claude Code to access Slack context to unblock technical problems and post updates.
Code retrieval for AI agents: Why vector embeddings fail and per-file LLM graphs win
After a year of building a code indexing system, the team behind Bytebell found that vector embeddings on code chunks and Tree-sitter ASTs both fell short, while per-file LLM summaries stored in a Neo4j graph with semantic fulltext search significantly improved retrieval precision.
Banker Creates Credit Due Diligence Tool with 31 AI Prompts Using Only Claude
A banker with 17 years of MSME credit underwriting experience in India has open-sourced 31 AI prompts that transform a visiting card into a full credit due diligence report, compressing a 3-4 week process to 30 minutes. The tool was built entirely through conversation with Claude, without writing any code.
OpenClaw vs Hermes: Different Design Philosophies for AI Agents
OpenClaw is a multi-channel gateway connecting WhatsApp, Telegram, Discord, Slack, and iMessage with a massive skill ecosystem, while Hermes is a learning agent that evaluates tasks, saves patterns as reusable skills, and builds a model of your workflow over time.