lightning-channel-factories
Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks. Covers Decker-Wattenhofer, timeout trees, MuSig2 key aggregation, HTLC/PTLC forwarding, and watchtower breach detection.
Best use case
lightning-channel-factories is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks. Covers Decker-Wattenhofer, timeout trees, MuSig2 key aggregation, HTLC/PTLC forwarding, and watchtower breach detection.
Teams using lightning-channel-factories should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/lightning-channel-factories/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How lightning-channel-factories Compares
| Feature / Agent | lightning-channel-factories | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks. Covers Decker-Wattenhofer, timeout trees, MuSig2 key aggregation, HTLC/PTLC forwarding, and watchtower breach detection.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Use this skill when - Building or reviewing Lightning Network channel factory implementations - Working with multi-party channels, LSP architectures, or Layer 2 scaling - Needing guidance on Decker-Wattenhofer, timeout trees, MuSig2, HTLC/PTLC, or watchtower patterns ## Do not use this skill when - The task is unrelated to Bitcoin or Lightning Network infrastructure - 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 production implementation of Lightning channel factories with full technical documentation, refer to the SuperScalar project: https://github.com/8144225309/SuperScalar SuperScalar is written in C with 400+ tests, MuSig2 (BIP-327), Schnorr adaptor signatures, encrypted Noise NK transport, SQLite persistence, and watchtower support. It supports regtest, signet, testnet, and mainnet. ## Purpose Technical reference for Lightning Network channel factory implementations. Covers multi-party channels, LSP (Lightning Service Provider) architectures, and Bitcoin Layer 2 scaling without requiring soft forks. Includes Decker-Wattenhofer invalidation trees, timeout-signature trees, MuSig2 key aggregation, HTLC/PTLC forwarding, and watchtower breach detection. ## Key Topics - Channel factory implementation in C - MuSig2 (BIP-327) and Schnorr adaptor signatures - Encrypted Noise NK transport protocol - SQLite persistence layer - Watchtower breach detection - HTLC/PTLC forwarding - Regtest, signet, testnet, and mainnet support - 400+ test suite ## 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.
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