yaniv-golan

Cconductor — Development skill for Claude Code

Development community

Claude Code -powered Research, Orchestrated.

How to install Cconductor

This entry records only its repository, not the path inside it, so there is no exact command to give. Open yaniv-golan/cconductor and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Cconductor does

Claude Code -powered Research, Orchestrated.

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README

![CConductor Banner](assets/banner.png)

CConductor 🔍

**AI Research, Orchestrated**

CConductor is a multi-agent AI research system that conducts comprehensive, adaptive research on any topic. Powered by Claude and specialized AI agents, it finds, analyzes, and synthesizes information from academic papers, web sources, PDFs, and code repositories—delivering well-cited, validated research reports.

Why CConductor?

🧠 Multi-Agent Intelligence - Specialized agents for planning, research, synthesis, and validation work together
📚 Multi-Source Research - Handles academic papers, web content, PDFs, code, and market data
✅ Built-In Validation - Automatic fact-checking, citation tracking, and quality assessment
🎯 Adaptive Research - Identifies gaps, explores leads, and improves iteratively until high confidence
📊 Quality Scores - Know exactly how reliable your research is (0-100 with detailed breakdown)
🔒 Configurable Security - Control which domains to trust with flexible security profiles
🌍 Cross-Platform - Works on macOS, Linux, and Windows (WSL2)

Getting Started

Prerequisites

Claude Code CLI access – You need a Claude Pro/Max subscription or API credits plus the Claude Code CLI (run claude, then /status to confirm your account). Install via the native script (curl -fsSL https://claude.ai/install.sh | bash) or, if you already have Node.js 18+, npm install -g @anthropic-ai/claude-code.
Supported platforms – macOS 10.15+, Linux distros with GNU coreutils (Ubuntu 20.04+, Debian 10+, Fedora 33+), or Windows via WSL2.
System packages – Bash ≥ 4.0, git, jq, curl, bc, and ripgrep. The quick-start commands below install them for you.
Python 3 – Used for knowledge graph tooling (pre-installed on most systems).
Optional (installed in quick start): dialog for the full interactive TUI experience.