CtrlK
BlogDocsLog inGet started
Tessl Logo

lightning-architecture-review

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.

46

Quality

48%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/lightning-architecture-review/SKILL.md
SKILL.md
Quality
Evals
Security

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

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Last updated
First committed

Also appears in

administrakt0r/AI-Agents-Safe-Coding-Skills
In sync

since Aug 19, 2026

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.