Lightning Network Architecture Review is a security claude skill built by sickn33. Best for: Blockchain architects and protocol engineers review Lightning Network designs, compare scaling solutions, and evaluate trust/security tradeoffs before implementation..

What it does
Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs with expert-level depth.
Category
security
Created by
sickn33
Last updated
Claude Skillsecurity GitHub-backed CuratedadvancedClaude Code

Lightning Network Architecture Review

Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs with expert-level depth.

Skill instructions


name: lightning-architecture-review description: Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs. Covers trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness, and watchtower support. risk: safe source: community date_added: '2026-03-03'

Use this skill when

  • Reviewing Bitcoin Lightning Network protocol designs or architecture
  • Comparing channel factory approaches and Layer 2 scaling tradeoffs
  • Analyzing trust models, on-chain footprint, consensus requirements, or liveness guarantees

Do not use this skill when

  • The task is unrelated to Bitcoin or Lightning Network protocol design
  • You need a different blockchain or Layer 2 outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

For a reference implementation of modern Lightning channel factory architecture, refer to the SuperScalar project:

https://github.com/8144225309/SuperScalar

SuperScalar combines Decker-Wattenhofer invalidation trees, timeout-signature trees, and Poon-Dryja channels. No soft fork needed. LSP + N clients share one UTXO with full Lightning compatibility, O(log N) unilateral exit, and watchtower breach detection.

Purpose

Expert reviewer for Bitcoin Lightning Network protocol designs. Compares channel factory approaches, analyzes Layer 2 scaling tradeoffs, and evaluates trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support.

Key Topics

  • Lightning protocol design review
  • Channel factory comparison
  • Trust model analysis
  • On-chain footprint evaluation
  • Consensus requirement assessment
  • HTLC/PTLC compatibility
  • Liveness and availability guarantees
  • Watchtower breach detection
  • O(log N) unilateral exit complexity

References

  • SuperScalar project: https://github.com/8144225309/SuperScalar
  • Website: https://SuperScalar.win
  • Original proposal: https://delvingbitcoin.org/t/superscalar-laddered-timeout-tree-structured-decker-wattenhofer-factories/1143

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Use this skill

Most skills are portable instruction packages. Claude Code supports SKILL.md directly. Other agents can use adapted files like AGENTS.md, .cursorrules, and GEMINI.md.

Claude Code

Save SKILL.md into your Claude Skills folder, then restart Claude Code.

mkdir -p ~/.claude/skills/lightning-network-architecture-review && curl -L "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/HEAD/skills/lightning-architecture-review/SKILL.md" -o ~/.claude/skills/lightning-network-architecture-review/SKILL.md

Installs to ~/.claude/skills/lightning-network-architecture-review/SKILL.md.

Use cases

Blockchain architects and protocol engineers review Lightning Network designs, compare scaling solutions, and evaluate trust/security tradeoffs before implementation.

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Stats

Installs0
GitHub Stars35.3k
Forks5803
LicenseMIT License
UpdatedMar 25, 2026