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oyekamal/claude-code-flow-visualizer

🔍 Visualize any Claude Code agent harness — CLAUDE.md, subagents, skills, commands, hooks & MCP servers — as an interactive flow graph. Import from GitHub, ZIP, or local folder. 100% client-side.

6 stars
1 forks
JavaScript
momentum ▲ 12.0
created 2026-07-13
on radar since 2026-07-14
agent-orchestrationai-agentsanthropicclaudeclaude-codedeveloper-toolsmcpmulti-agentreactvisualization
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About claude-code-flow-visualizer

Claude Code Flow Visualizer — See Your Entire Agent Harness as an Interactive Graph

Visualize any Claude Code configuration (CLAUDE.md, subagents, skills, slash commands, hooks, MCP servers, schedulers) as one interactive flow diagram — straight from a GitHub URL, a ZIP, or a local folder. No install for your target repo, no backend, 100% client-side.

Claude Code agent setups live as scattered markdown files: CLAUDE.md, .claude/agents/.md, .claude/skills//SKILL.md, commands, settings.json hooks, and .mcp.json connectors. To understand how an existing harness works — which agent delegates to which, what skills fire when, where Notion/database/MCP connections plug in — you'd normally have to open and read every single file.

This tool parses the whole project and renders it as a wired graph in seconds:

- 🤖 Agents with model + tool badges, delegation edges traced from prompt bodies - 📚 Skills attached to the agents and commands that actually reference them - ⌨️ Slash commands, 🪝 lifecycle hooks, ⏰ schedulers (GitHub Actions / cron) - 🔌 MCP connectors and 🗄️ memory / state stores drawn as distinct node types - 🚨 Pipeline lints: broken delegation references, duplicate agent names, circular delegation, orphan skills, reviewers with write access, orchestrators missing the Task tool, vague trigger descriptions

1. Paste a GitHub repo (owner/repo, full URL, or a /tree/branch/subfolder link) and hit VISUALIZE 2. Upload a ZIP (GitHub → Code → Download ZIP) — fully offline 3. Upload a folder — point it at any local clone 4. Or click LOAD DEMO HARNESS to explore a sample multi-agent

From the project README.

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