nodnarbnitram__claude-code-extensions/plugins/cce-research

CCE Research Plugin

Deep research coordination: academic papers, technical analysis, data insights, and web intelligence

Overview

The CCE Research plugin provides a comprehensive suite of specialized research agents that work in coordinated teams to conduct thorough, multi-faceted investigations. Whether you need academic literature reviews, current web intelligence, technical code analysis, or quantitative data insights, this plugin orchestrates expert researchers to deliver comprehensive findings.

Key Features

• Coordinated Research Team: Strategic orchestration across multiple specialist researchers
• Multi-Source Intelligence: Academic papers, web content, code repositories, and statistical data
• Temporal Awareness: All agents track dates and prioritize recent, relevant information
• Structured Output: JSON-formatted findings with citations, confidence levels, and quality assessments
• Private Repository Access: Technical researcher can analyze both public and private GitHub repositories

Agents Included

1. Research Coordinator (research-coordinator)

The strategic orchestrator for complex research tasks

• Analyzes research requirements and allocates tasks to specialists
• Defines iteration strategies (1-3 rounds) based on complexity
• Sets quality thresholds and success criteria
• Plans integration of diverse findings
• Outputs comprehensive JSON execution plans

Use when: You have a complex research question requiring multiple perspectives or deep investigation.

Capabilities:

• Strategic task allocation based on specialist strengths
• Iteration planning for comprehensive coverage
• Quality assurance and success criteria definition
• Integration planning for multi-researcher findings

2. Academic Researcher (academic-researcher)

Specialist for scholarly sources and peer-reviewed literature

• Searches academic databases (ArXiv, PubMed, Google Scholar)
• Evaluates peer-reviewed papers and research quality
• Analyzes citations and bibliometric data
• Identifies research gaps and future directions
• Extracts research methodologies and limitations

Use proactively for:

• Research paper analysis
• Literature reviews
• Citation tracking
• Academic methodology evaluation

Output includes:

• Key findings with confidence levels
• Research methodology analysis
• Citation networks and seminal works
• Quality indicators (journal impact, peer review status)
• Properly formatted academic citations

3. Web Researcher (web-researcher)

Expert in current news, industry reports, and real-time web intelligence

• Gathers breaking news and current events
• Analyzes industry reports and market trends
• Tracks company announcements and press releases
• Monitors public sentiment and social discussions
• Evaluates regulatory updates and policy changes

Use proactively for:

• Current news and industry reports
• Real-time information gathering
• Market trends and competitive intelligence
• Breaking developments and announcements

Output includes:

• Executive summary with temporal context
• Key findings with source citations and dates
• Source quality analysis (credibility, publication date)
• Trend identification (current, emerging, long-term)
• Temporal analysis of recent developments
• Information gaps and conflicting sources

4. Technical Researcher (technical-researcher)

Specialist in code repositories, technical documentation, and implementation analysis

• Analyzes GitHub repositories (public and private)
• Reviews API documentation and technical specs
• Evaluates code quality and architecture
• Tracks version histories and breaking changes
• Assesses community adoption and maintenance status

Use for:

• Code repository analysis
• Technical documentation review
• Implementation examples and best practices
• Private repository access (using gh CLI and git)

Capabilities:

• Private repository access: Uses gh CLI for quick file reads, git clone for comprehensive analysis
• Architecture and design pattern evaluation
• Security considerations and testing coverage
• Community activity assessment
• Version currency and update frequency tracking

Output (JSON format):

• Repository statistics and metrics
• Code quality assessment
• Technical insights and patterns
• Implementation recommendations
• Community insights and adoption trends
• Temporal analysis (maintenance health, ecosystem maturity)

5. Data Analyst (data-analyst)

Quantitative analysis and statistical insights specialist

• Identifies numerical data from statistical databases
• Performs comprehensive statistical analysis
• Creates meaningful comparisons and benchmarks
• Identifies trends, correlations, and outliers
• Suggests appropriate data visualizations

Use for:

• Quantitative analysis
• Statistical insights
• Data-driven research
• Trend analysis and forecasting

Capabilities:

• Descriptive statistics and trend analysis
• Comparative benchmarking
• Correlation analysis and outlier detection
• Data quality assessment
• Visualization recommendations

Output (JSON format):

• Key metrics with confidence levels
• Trend analysis with rate of change
• Comparisons with statistical significance
• Data-driven insights and implications
• Visualization suggestions
• Data quality assessment

Installation

Via Plugin Manager

# Add the CCE marketplace (if not already added)
/plugin marketplace add /path/to/claude-code-extensions

# Install the research plugin
/plugin install cce-research@cce-marketplace

Manual Installation

Clone the repository and the agents will be available:

git clone https://github.com/nodnarbnitram/claude-code-extensions.git
cd claude-code-extensions

The agents are in ${CLAUDE_PLUGIN_ROOT}/agents/deep-research/.

Usage

Command Namespacing

When installed as a plugin, agents appear with the prefix cce-research: in the agents list. When used standalone (cloned repository), agents have no prefix.

Installation Mode	Agent Names
Plugin	cce-research:research-coordinator, cce-research:academic-researcher, etc.
Standalone	research-coordinator, academic-researcher, etc.

Example Workflows

1. Complex Research Investigation

> I need comprehensive research on quantum computing's impact on cryptography

Claude will invoke the research-coordinator to:

1. Analyze the complexity and identify knowledge domains
2. Allocate tasks to specialists:
   • academic-researcher: Peer-reviewed papers on quantum algorithms
   • web-researcher: Current industry developments and announcements
   • technical-researcher: Quantum computing frameworks and implementations
   • data-analyst: Statistical analysis of algorithm performance
3. Define integration plan for synthesizing findings

2. Academic Literature Review

> Review recent papers on transformer architecture optimizations

Claude will invoke academic-researcher to:

• Search academic databases for recent publications
• Evaluate paper quality and citations
• Extract key methodologies and findings
• Identify research gaps

3. Technology Assessment

> Analyze the current state of Rust web frameworks

Claude will invoke technical-researcher to:

• Search GitHub for popular Rust web frameworks
• Analyze repository statistics and maintenance status
• Review documentation and code quality
• Assess community adoption and trends

4. Market Data Analysis

> What are the growth trends in cloud computing spending?

Claude will invoke data-analyst to:

• Identify authoritative data sources
• Extract statistical data
• Calculate growth rates and trends
• Provide visualization recommendations

5. Current Events Research

> What are the latest developments in AI regulation?

Claude will invoke web-researcher to:

• Search for recent news and announcements
• Track regulatory changes and policy updates
• Analyze source credibility and recency
• Identify emerging trends

Key Principles

All research agents follow these core principles:

1. Temporal Awareness: Always establish current date/time context at the start
2. Source Quality: Evaluate credibility, recency, and reliability
3. Structured Output: Consistent JSON formatting with citations
4. Confidence Levels: Explicit uncertainty acknowledgment
5. Comprehensive Coverage: Multi-source validation and cross-referencing
6. Actionable Insights: Focus on decision-relevant findings

Advanced Features

Private Repository Access

The technical-researcher can access private GitHub repositories using:

GitHub CLI (gh):

# View repository details
gh repo view owner/repo

# Read file contents
gh api repos/owner/repo/contents/path/to/file --jq .content | base64 -d

# Search code in private repo
gh search code --repo owner/repo "search term"

Git CLI:

# Clone for comprehensive analysis
git clone https://github.com/owner/repo.git

Multi-Iteration Research

The research-coordinator can plan 1-3 iteration rounds:

• Single pass: Well-defined, focused topics
• 2 iterations: Topics requiring initial exploration then deep dive
• 3 iterations: Complex topics needing discovery, analysis, and synthesis phases

Integration Strategies

The coordinator plans how findings will be synthesized:

• Complementary: Different aspects of the same topic
• Comparative: Multiple perspectives on contentious issues
• Sequential: Building upon each other's findings
• Validating: Cross-checking facts across sources

Configuration

No additional configuration required. All agents use inherited tools and models from your Claude Code settings.

Tool Access

Research agents use these tools:

• Read, Write, Edit: File operations for storing findings
• WebSearch, WebFetch: Web and academic search capabilities
• Bash: Running date for temporal context, gh/git for repository access
• Task: For complex multi-step research workflows
• mcp__context7, mcp__Ref: MCP integrations (if available)

Troubleshooting

Agent Not Triggering

Ensure your prompt includes clear research intent:

• Use keywords like "research", "analyze", "investigate", "review"
• Specify the domain (academic, technical, market, current events)

Private Repository Access Fails

For technical-researcher:

1. Ensure gh CLI is authenticated: gh auth status
2. Verify repository access permissions
3. Check network connectivity

Output Format Issues

All agents output structured JSON. If you need different formats:

• Ask agents to format findings as markdown reports
• Request specific sections or summaries

Contributing

This plugin is part of the claude-code-extensions project.

To contribute:

1. Fork the repository
2. Add/modify agents in ${CLAUDE_PLUGIN_ROOT}/agents/deep-research/
3. Update plugin.json and README.md
4. Submit a pull request

License

MIT License - See repository LICENSE file

Version History

• 1.0.0 (2025-12-23): Initial release
  • 5 specialized research agents
  • Coordinated multi-researcher workflows
  • Temporal awareness and recency tracking
  • Private repository access
  • Structured JSON output formats

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Documentation: Repository README

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Part of the Claude Code Extensions ecosystem - Modular plugins for every tech stack