bitcoin-l2-research

name	bitcoin-l2-research
description	Comprehensive Bitcoin and Layer-2 protocol research using parallel Claude agents. Specialized for Bitcoin Core, Lightning, Ark, and L2 scaling solutions. Three modes (Quick/Standard/Deep) with timeout management and multi-source validation.

Bitcoin/L2 Research Skill

When to Use

This skill activates when the user requests research on:

• Bitcoin protocol, BIPs, consensus rules
• Layer-2 scaling solutions (Lightning, Ark, Liquid, Rollups)
• Protocol comparisons (e.g., "Compare Lightning vs Ark")
• External documentation analysis (whitepapers, specifications)
• Bitcoin ecosystem developments

Trigger Phrases:

• "Research [Bitcoin/L2 topic]"
• "Compare [Protocol A] vs [Protocol B]"
• "Analyze [whitepaper/specification]"
• "What's new in Bitcoin Core [version]"
• "How does [L2 protocol] work"

Research Modes

Quick Research (3 agents, 2min timeout)

• User says: "quick research" or simple query
• Best for: Simple questions, fact-checking

Standard Research (9 agents, 3min timeout)

• Default mode
• Best for: Comprehensive analysis, protocol comparisons

Deep Research (12 agents, 10min timeout)

• User says: "deep research" or "comprehensive research"
• Best for: Multi-protocol analysis, whitepaper deep-dives

How It Works

1. Intent Detection: User request triggers research mode
2. Context Loading: Load ark-docs for Ark protocol context
3. Query Decomposition: Break query into 3-12 focused sub-questions
4. Parallel Execution: Launch Claude agents in single batch
5. Timeout Management: Proceed with partial results after timeout
6. Synthesis: Combine findings with confidence levels
7. Report Generation: Structured markdown report

Integration

Orchestrator: Routes research requests to ark-researcher agent Agent: ark-researcher coordinates parallel claude-search-agents Workflow: Uses workflows/research-bitcoin-l2.md patterns Knowledge Base: Integrates with ark-docs for Ark context

Expected Outputs

• Comprehensive research report
• Confidence levels (High/Medium/Low)
• Source citations (URLs)
• Comparative analysis (if applicable)
• Trade-offs and recommendations
• Follow-up questions identified

Configuration Files

• bitcoin-topics.yaml: Topic taxonomy for Bitcoin/L2 domains
• external-docs.yaml: Known Bitcoin/L2 documentation sources

Example Usage

User: "Research how Taproot enables Ark protocol"

System:

1. Detects: Bitcoin Core + Ark-specific research
2. Mode: Standard (9 agents, 3 min)
3. Decomposes: 9 sub-questions about Taproot + Ark
4. Launches: 9 Claude agents in parallel
5. Synthesizes: Cross-validates findings
6. Returns: Comprehensive report in ~60-90 seconds

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Skill Owner: ark-researcher agent Last Updated: 2025-11-05