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Agent skill

Lightning Architecture Review

by sickn33 in sickn33/agentic-awesome-skills

Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs.

MITAuto-check passedDevelopment

Install Lightning Architecture Review

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill lightning-architecture-review -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills lightning-architecture-review --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-architecture-review .claude/skills/lightning-architecture-review && 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-architecture-review
GitHub stars
47k
Used in
2 other repos
Token cost
~658 tokens
SKILL.md length
256 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs.

  • Tasks that involve Software architecture
  • 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
  • Tasks that involve Smart contracts

What it does

Lightning Architecture Review is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Software architecture and Smart contracts. 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.

When your agent uses it

  • Tasks that involve Software architecture
  • Tasks that involve Smart contracts

Example prompts

  • “/lightning-architecture-review”

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 Architecture Review loads about 658 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 256 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~658

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). 256 words, ~658 tokens.

Download SKILL.mdSave it as .claude/skills/lightning-architecture-review/SKILL.md (or your agent's skills folder).
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

Example

User request:

Review Bitcoin Lightning Network protocol designs or architecture.

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-architecture-review 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 Architecture Review 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 Architecture Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lightning Architecture Review this skillsickn33/agentic-awesome-skills47k2 repos~658Automated safety check: PassMIT
Payram Crypto PaymentsPayRam/payram-mcp158—~2kAutomated safety check: NotesNone
Smart Contract Guidelines Advisortrailofbits/skills7.5k—~2.2kAutomated safety check: PassCC-BY-SA-4.0
Willy Woo Onchainquestflowai/investorskills1.9k—~430Automated safety check: PassMIT
Finance District MCPaeonfun/aeon770—~1.1kAutomated safety check: PassMIT
Lifisendaifun/skills130—~4.6kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Lightning Architecture Review

What does Lightning Architecture Review do?

Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs. Lightning Architecture Review is an agent skill from sickn33/agentic-awesome-skills. Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs.

When should I use Lightning Architecture Review?

Lightning Architecture Review fits situations like: tasks that involve Software architecture; tasks that involve Smart contracts.

How do I install Lightning Architecture Review in Claude Code?

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

How do I install Lightning Architecture Review in Codex?

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

Can I use Lightning Architecture Review 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-architecture-review -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-architecture-review, .gemini/skills/lightning-architecture-review, .github/skills/lightning-architecture-review and .opencode/skills/lightning-architecture-review in your project.

What does Lightning Architecture Review need to run?

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

Does Lightning Architecture Review 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 Architecture Review 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 Architecture Review use?

Lightning Architecture Review 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 Architecture Review use?

About 658 tokens (SKILL.md is roughly 2.6k 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 Architecture Review?

Skills that share tags, products or a category with Lightning Architecture Review: Payram Crypto Payments (PayRam/payram-mcp, 158 stars), Smart Contract Guidelines Advisor (trailofbits/skills, 7.5k stars), Willy Woo Onchain (questflowai/investorskills, 1.9k stars) and Finance District MCP (aeonfun/aeon, 770 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lightning Architecture Review?

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.