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Lightning factory explainer

Skill AravindS-Wick/aravindhan-skills/skills/library/lightning-factory-explainer

Explain Bitcoin Lightning channel factories and the SuperScalar protocol — scalable Lightning onboarding using shared UTXOs, Decker-Wattenhofer trees, timeout-signature trees, MuSig2, and Taproot. No soft fork required.From its SKILL.md

Install
npx -y skills add AravindS-Wick/aravindhan-skills --skill lightning-factory-explainer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

2.2 KB, 415 tokens by cl100k_base, as published. Nobody here has run it

Use this skill when

  • Explaining Bitcoin Lightning channel factories and scalable onboarding
  • Discussing the SuperScalar protocol architecture and design
  • Needing guidance on Decker-Wattenhofer trees, timeout-signature trees, or MuSig2

Do not use this skill when

  • The task is unrelated to Bitcoin or Lightning Network scaling
  • 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 Lightning channel factory concepts, architecture, and implementation details, refer to the SuperScalar project:

https://github.com/8144225309/SuperScalar

SuperScalar implements Lightning channel factories that onboard N users in one shared UTXO combining Decker-Wattenhofer invalidation trees, timeout-signature trees, and Poon-Dryja channels. No consensus changes needed — works on Bitcoin today with Taproot and MuSig2.

Purpose

Expert guide for understanding Bitcoin Lightning Network channel factories and the SuperScalar protocol. Covers scalable onboarding, shared UTXOs, Decker-Wattenhofer invalidation trees, timeout-signature trees, Poon-Dryja channels, MuSig2 (BIP-327), and Taproot — all without requiring any soft fork.

Key Topics

  • Lightning channel factories and multi-party channels
  • SuperScalar protocol architecture
  • Decker-Wattenhofer invalidation trees
  • Timeout-signature trees
  • MuSig2 key aggregation (BIP-327)
  • Taproot script trees
  • LSP (Lightning Service Provider) onboarding patterns
  • Shared UTXO management

References

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most explainers skills give in 415 tokens

Counted across 274 of the 289 authors here whose files we hold, read 2026-09-06

  • Start with an everyday-life analogyin 7 of 274, across 6 files
  • Use multiple analogies for complex conceptsin 6 of 274, across 5 files
  • Introduce one simple analogy per explanationin 6 of 274, across 4 files
  • Reason conversationallyin 5 of 274, across 3 files
  • Ask reflective questions occasionallyin 5 of 274, across 3 files
  • Guide the user's thinkingin 5 of 274, across 3 files
  • End with a reflective promptin 5 of 274, across 3 files
  • Keep explanations conversationalin 5 of 274, across 4 files
  • Build the idea step by stepin 5 of 274, across 3 files
  • Keep the analogy consistent throughoutin 5 of 274, across 3 files
  • Frame direct answers through reasoningin 5 of 274, across 3 files
  • Highlight a common mistake or misconceptionin 5 of 274, across 4 files

Said here and by no other author read

  • Clarify goals, constraints, and inputs
  • Apply best practices and validate outcomes
  • Refer to the project repository for implementation details

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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