AI Research Skills (Orchestra)
Security scan passedA library of AI research skills that lets your agent fine-tune, train, evaluate and serve models, and take a project from idea to paper.

Khazix's everyday skills: goal briefs for long agent runs, disk cleanup, AI news, doc tidy-ups, deep research and Chinese long-form writing.
Pack · 6 skillsby kkkkhazix
4 images
About
Khazix Skills is a set of skills that Khazix (数字生命卡兹克), founder of Virxact, uses every day and has open-sourced as they are. Each one is a SKILL.md your agent loads when you ask for that kind of work. The skills are written mostly in Chinese: khazix-writer, hv-analysis and aihot work in Chinese, while leader, neat-freak and storage-analyzer also take asks in English. What its skills teach the agent - leader: turn a half-formed idea into a goal brief an agent can run for hours on its own, spelling out what done means, how to prove it, the shortcuts it must not take, which paths it may touch and what to trade off. It checks the codebase first and asks you at most five questions. - storage-analyzer: scan your whole Mac or Windows drive read-only, then open an HTML report that sorts what's taking space into safe to clean, your call and leave alone, with Move to Trash buttons behind a second confirmation. - aihot: pull the AI HOT daily report, the hottest stories right now and news searches from aihot.news, anonymously and without an API key. - neat-freak: after a session, run /neat to bring docs, the README, CLAUDE.md or AGENTS.md and the agent's memory back in line with what the code really does, and check that project rules are followed. It never deletes anything on its own. - hv-analysis: research a product, company, concept or person along two axes, its history and today's competitors, by searching the web, and produce a typeset PDF report of 10,000 to 30,000 words. - khazix-writer: write long-form Chinese articles for WeChat Official Accounts in Khazix's own voice, with his style rules, banned phrases and a four-layer self-check. How to install it In an agent that supports Agent Skills, such as Claude Code or Codex, say "Install this skill: https://github.com/KKKKhazix/khazix-skills/tree/main/<skill-name>" with the skill you want, and the agent clones it into the right folder. An agent without skills can be given a skill's SKILL.md as a project rule file. Good to know - No sign-in. aihot reads aihot.news anonymously; AI HOT's terms make personal and internal use free, while outward-facing commercial use needs its written permission. - hv-analysis needs web search, and it makes its PDF with WeasyPrint. - storage-analyzer is fully tested on macOS, and its Windows support is newer. Its scan is read-only, and its local delete server only accepts paths listed in the report. - It's MIT licensed.
Once it’s added
“Write me a /goal prompt so the agent can run this project on its own.”
“Check my storage, my disk is full.”
“/neat: tidy up the project docs and memory.”
“研究一下 Cursor 这家公司 (research the company behind Cursor)”
“今天 AI 圈有什么新东西? (what's new in AI today?)”
“帮我把这个素材写成长文 (turn this material into a long-form article)”
Before you add it
Reads only
Your codebase, before it writes a goal brief · Your disk usage, read-only · AI news from aihot.news · Your project docs, rule files and agent memory
Makes changes · your agent can ask first
Goal briefs in plain Markdown · An HTML storage report; trash or delete only after you confirm twice · Updated docs, README, CLAUDE.md or AGENTS.md and memory · PDF research reports and Chinese articles
Pack · 6 skills, each with its own page
From people who use it
Step by step
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npx -y degit KKKKhazix/khazix-skills/aihot ~/.copilot/skills/aihot npx -y degit KKKKhazix/khazix-skills/hv-analysis ~/.copilot/skills/hv-analysis npx -y degit KKKKhazix/khazix-skills/khazix-writer ~/.copilot/skills/khazix-writer npx -y degit KKKKhazix/khazix-skills/leader ~/.copilot/skills/leader npx -y degit KKKKhazix/khazix-skills/neat-freak ~/.copilot/skills/neat-freak npx -y degit KKKKhazix/khazix-skills/storage-analyzer ~/.copilot/skills/storage-analyzer
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npx -y degit KKKKhazix/khazix-skills/aihot ~/.cursor/skills/aihot npx -y degit KKKKhazix/khazix-skills/hv-analysis ~/.cursor/skills/hv-analysis npx -y degit KKKKhazix/khazix-skills/khazix-writer ~/.cursor/skills/khazix-writer npx -y degit KKKKhazix/khazix-skills/leader ~/.cursor/skills/leader npx -y degit KKKKhazix/khazix-skills/neat-freak ~/.cursor/skills/neat-freak npx -y degit KKKKhazix/khazix-skills/storage-analyzer ~/.cursor/skills/storage-analyzer
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npx -y degit KKKKhazix/khazix-skills/aihot ~/.config/opencode/skills/aihot npx -y degit KKKKhazix/khazix-skills/hv-analysis ~/.config/opencode/skills/hv-analysis npx -y degit KKKKhazix/khazix-skills/khazix-writer ~/.config/opencode/skills/khazix-writer npx -y degit KKKKhazix/khazix-skills/leader ~/.config/opencode/skills/leader npx -y degit KKKKhazix/khazix-skills/neat-freak ~/.config/opencode/skills/neat-freak npx -y degit KKKKhazix/khazix-skills/storage-analyzer ~/.config/opencode/skills/storage-analyzer
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npx -y degit KKKKhazix/khazix-skills/aihot ~/.hermes/skills/aihot npx -y degit KKKKhazix/khazix-skills/hv-analysis ~/.hermes/skills/hv-analysis npx -y degit KKKKhazix/khazix-skills/khazix-writer ~/.hermes/skills/khazix-writer npx -y degit KKKKhazix/khazix-skills/leader ~/.hermes/skills/leader npx -y degit KKKKhazix/khazix-skills/neat-freak ~/.hermes/skills/neat-freak npx -y degit KKKKhazix/khazix-skills/storage-analyzer ~/.hermes/skills/storage-analyzer
Scanned and passed · checked 2 h ago
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Skills people install alongside Khazix Skills.
Scanned on every change, and again when our rules improve.
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Skills people install alongside Khazix Skills.
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.
Researches tech and advanced-manufacturing investment themes by finding supply-chain bottlenecks, then ranks which companies to study first.
Two-phase deep research: your agent drafts an outline of items and fields with you, researches each in parallel, then writes a report.
Security scan
Passed
Safe to install in every agent it supports. Runs in your agent, as instructions.