Khazix Skills
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Researches tech and advanced-manufacturing investment themes by finding supply-chain bottlenecks, then ranks which companies to study first.
by muxuuu· ResearchUnclaimed · Yours? Claim it
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About
Serenity.skill is a community Agent Skill by muxuuu that turns the supply-chain research approach seen in the public posts of investor Serenity (@aleabitoreddit) into a research workflow for your agent. It starts from a technology theme, maps the system and its hardest-to-expand inputs, investigates the companies involved, and returns a ranked list of what to research next, with evidence and risks. What you can do with it - Scan a theme, such as A-share AI semiconductors, robotics, CPO or power equipment, layer by layer, then get a short priority list of companies or fund directions - Challenge a claim, such as whether a company is really a core supplier, separating its product role, delivery status, customers and attributable revenue - Compare a few candidate companies on supply-chain position, strength of evidence, valuation pressure and risk - Learn the method one focused question at a time How it works - It asks what demand is putting pressure on the system, which layers are hard to expand or substitute, and what each company actually sells and has delivered. - Claims go back to dated original sources such as announcements, exchange filings, financial reports and earnings calls, and it returns fewer candidates when the evidence is thin. - It's built mainly for A-share themes and adapts to other markets you ask about. - It needs an agent with its own web search, browsing or filing access; it brings the method and reference material, not market data. How to install it - Clone the repo and copy the skill files into ~/.claude/skills/serenity-skill for Claude Code or ~/.agents/skills/serenity-skill for Codex, then start a new session. Good to know - It's research support only, not investment advice; buying and selling decisions are yours. - It's a community project, MIT-licensed, and isn't made by or affiliated with Serenity.
Once it’s added
“Use serenity-skill to research A-share AI semiconductors and rank which companies to study first.”
“Challenge the claim that this company is a core CPO supplier.”
“Which parts of the robotics supply chain are most likely to be bottlenecks?”
“Compare these three companies: whose growth story is best supported by evidence?”
“Which upstream segments should I look at behind a robotics theme fund?”
“Teach me the Serenity-inspired supply-chain method, one question at a time.”
Before you add it
Reads only
Public announcements, filings, financial reports and earnings calls, through your agent's search · The themes, companies and claims you give it
Makes changes · your agent can ask first
A ranked research list with evidence, counterarguments and risks · A structured research memo, when you ask for one
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npx -y degit muxuuu/serenity-skill ~/.copilot/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill ~/.cursor/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill ~/.claude/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill ~/.agents/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill ~/.gemini/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill .agents/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill ~/.openclaw/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill ~/.config/opencode/skills/serenity-skill
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npx -y degit muxuuu/serenity-skill ~/.hermes/skills/serenity-skill
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Skills people install alongside Serenity.skill.
Khazix's everyday skills: goal briefs for long agent runs, disk cleanup, AI news, doc tidy-ups, deep research and Chinese long-form writing.
A library of AI research skills that lets your agent fine-tune, train, evaluate and serve models, and take a project from idea to paper.
A six-step competitive analysis for product managers, from the market landscape to rivals' strategic direction, ending in battle cards.
Two-phase deep research: your agent drafts an outline of items and fields with you, researches each in parallel, then writes a report.
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