YouTube MCP for Claude & ChatGPT
TubeLab is the YouTube MCP Server for Claude and ChatGPT. Real channels, viral outliers, video transcripts and much more - all in your AI chat.
翻訳待ち
Multiple perspectives to help you brainstorm and research, based on Stanford's STORM. An Agent Skill.
翻訳待ち
スキルPython · ShellGitHub @xhyumiracle自分でインストール所有者未確認
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Multiple perspectives to help you brainstorm and research. Based on Stanford's STORM.
https://github.com/user-attachments/assets/2ae67414-e157-4779-aa61-f5096d8a164b
Install · Usage · How it works
"I don't have friends. I got family."Dominic Toretto
For single facts, long-form writing, or picking between A and B for you, other tools fit better.
Tell your agent:
Install this skill: https://github.com/xhyumiracle/family-skill
Or use the Agent Skills installer:
npx skills add xhyumiracle/family-skill -g
Or, on Claude Code, the full install:
git clone https://github.com/xhyumiracle/family-skill && ./family-skill/install.sh
The full install adds two agent definitions, member and fact-checker, with subagent spawning removed, so the headcount stays fixed. Start a new session afterwards.
Needs an agent with subagents and web search. Tested on Claude Code; Codex, Cursor, Gemini CLI and OpenCode support subagents too, untested so far.
/family <question> standard: 5 members, one extra round on disagreements when needed
/family mini <question> 3 members, otherwise the same as standard
/family deep <question> 5 members, rounds on disagreements until the evidence stops changing, at most 3
Cost depends on the question: standard measured 480K to 900K tokens over four runs; mini and deep are not measured yet, estimated at 300K to 500K and 600K to 1.1M. Each member searches at most 15 times and stops earlier when two searches in a row find no new primary source.
Or just say it: "help me understand X from scratch", "is the hype about X real", "what am I missing about X".
You get family/<short-name>/report.md. It opens with three lines: what to do, how confident to be, and which assumption would change the answer. Below that: key findings, where the members disagree, and what nobody looked into, with sources.
flowchart LR
Q([your question]) --> B["background brief<br/>facts and constraints only"]
subgraph crew ["five members, each searching alone"]
direction TB
S1["first-hand"]
S2["expert"]
S3["stakes"]
S4["dissent<br/>(the only one told your view)"]
S5["outside view"]
end
B --> S1 & S2 & S3 & S4 & S5
S1 & S2 & S3 & S4 & S5 --> V["check cited sources"]
V --> E{"disagreement?<br/>one more round"}
E --> R["report<br/>with sources"]
The five members split the work by where the evidence comes from, which suits questions about products, policy, history, science or personal decisions.
| Perspective | Who | Basis |
|---|---|---|
| First-hand | the people closest to the evidence: users, participants, the team that ran the experiment; for history, the contemporary sources | argument from position to know (Walton et al., 2008) |
| Expert | people who can explain how and why | argument from expert opinion; the "expert" role in Critical Systems Heuristics (Ulrich, 1983) |
| Stakes | people who decide, pay, benefit, or bear the consequences; when a question has no stakeholders, a second research method takes this seat | the beneficiary, decision-maker and affected roles in Critical Systems Heuristics (Ulrich, 1983) |
| Dissent | the strongest published case against the prevailing answer in the field; works on questions with no stance | minority dissent widens a group's thinking (Nemeth, 1986); real dissent corrects better than an assigned devil's advocate (Nemeth et al., 2001); one dissenting answer reduces LLM conformity to a majority (Zhu et al., ACL 2025) |
| Outside view | someone from another field that has handled the same kind of problem, bringing how comparable cases usually turned out | the outside view and reference-class forecasting (Kahneman & Lovallo, 1993; Flyvbjerg, 2006); untested in AI research, so marked experimental |
This is the beginning of the README. Read the rest at the original. Read the full README ↗