Agent skill

Lightning Channel Factories

by sickn33 in sickn33/agentic-awesome-skills

Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks.

MITAuto-check passed

Install Lightning Channel Factories

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill lightning-channel-factories -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills lightning-channel-factories --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lightning-channel-factories .claude/skills/lightning-channel-factories && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lightning-channel-factories
GitHub stars
47k
Used in
2 other repos
Token cost
~679 tokens
SKILL.md length
267 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks.

  • SKILL.md covers Use this skill when, Do not use this skill when, Instructions and Purpose, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lightning Channel Factories is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Bitcoin. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

Example prompts

  • “/lightning-channel-factories”

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • superscalar.win
    • delvingbitcoin.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lightning Channel Factories loads about 679 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~679

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 267 words, ~679 tokens.

Download SKILL.mdSave it as .claude/skills/lightning-channel-factories/SKILL.md (or your agent's skills folder).
name
lightning-channel-factories
description
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.
risk
safe
source
community
date_added
2026-03-03

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

Example

User request:

Build or reviewing Lightning Network channel factory implementations.

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.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/lightning-channel-factories of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 2 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Lightning Channel Factories next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lightning Channel Factories compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lightning Channel Factories this skillsickn33/agentic-awesome-skills47k2 repos~679Automated safety check: PassMIT
Stacks PR Reviewstacks-network/stacks-core3.1k—~1.1kAutomated safety check: PassGPL-3.0
Ff Worktreesdamus-io/damus2.1k—~451Automated safety check: PassGPL-3.0
Filing User Bug Reportsdamus-io/damus2.1k—~2kAutomated safety check: PassGPL-3.0
ApocdataApocData/ApocData-skill104—~1.9kAutomated safety check: PassApache-2.0
Preparing Release Changelogdamus-io/damus2.1k—~1.1kAutomated safety check: PassGPL-3.0

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Works with

Questions about Lightning Channel Factories

What does Lightning Channel Factories do?

Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks. Lightning Channel Factories is an agent skill from sickn33/agentic-awesome-skills. Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks.

How do I install Lightning Channel Factories in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill lightning-channel-factories -a claude-code`. Or copy the skill folder (skills/lightning-channel-factories in sickn33/agentic-awesome-skills) into .claude/skills/lightning-channel-factories in your project. Claude Code loads it when a task matches its description.

How do I install Lightning Channel Factories in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill lightning-channel-factories -a codex`. Or copy the skill folder (skills/lightning-channel-factories in sickn33/agentic-awesome-skills) into .agents/skills/lightning-channel-factories in your project. Codex loads it when a task matches its description.

Can I use Lightning Channel Factories in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill lightning-channel-factories -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lightning-channel-factories, .gemini/skills/lightning-channel-factories, .github/skills/lightning-channel-factories and .opencode/skills/lightning-channel-factories in your project.

What does Lightning Channel Factories need to run?

SKILL.md names no scripts, command-line tools or credentials: Lightning Channel Factories is instructions for the agent only.

Does Lightning Channel Factories access the network?

SKILL.md names 3 domains. As links in the text: github.com, superscalar.win and delvingbitcoin.org. This is read from the text; nothing was executed.

Is Lightning Channel Factories safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Lightning Channel Factories use?

Lightning Channel Factories is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lightning Channel Factories use?

About 679 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lightning Channel Factories?

Skills that share tags, products or a category with Lightning Channel Factories: Stacks PR Review (stacks-network/stacks-core, 3.1k stars), Ff Worktrees (damus-io/damus, 2.1k stars), Filing User Bug Reports (damus-io/damus, 2.1k stars) and Apocdata (ApocData/ApocData-skill, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lightning Channel Factories?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.