New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Quant Blog Writing

by zillionare in zillionare/zillionare

撰写文笔精炼、富有深度的量化交易博文，论点清晰、证据确凿、叙事层次更加丰富。适用于量化交易博文、因子研究、回测复盘、数据源排查、市场微观结构、策略原理、风险控制、职业观察、量化人物故事等选题。文章将聚焦具体角度，提供详实的大纲、证据规划及成稿，力求内容兼具思想深度与诚实性，而非单纯口号式宣传；同时，通过人物经历、引言、贡献及行业背景的融入，让文章更具可读性和吸引力。

No licenceAuto-check passedBusiness, Finance & HR

Install Quant Blog Writing

skills CLI
$ npx skills add zillionare/zillionare --skill quant-blog-writing -a claude-code

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

GitHub CLI
$ gh skill install zillionare/zillionare quant-blog-writing --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/zillionare/zillionare.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/quant-blog-writing .claude/skills/quant-blog-writing && 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
quant-blog-writing
GitHub stars
322
Token cost
~895 tokens
SKILL.md length
214 words
Files
2 (incl. references)
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

撰写文笔精炼、富有深度的量化交易博文，论点清晰、证据确凿、叙事层次更加丰富。适用于量化交易博文、因子研究、回测复盘、数据源排查、市场微观结构、策略原理、风险控制、职业观察、量化人物故事等选题。文章将聚焦具体角度，提供详实的大纲、证据规划及成稿，力求内容兼具思想深度与诚实性，而非单纯口号式宣传；同时，通过人物经历、引言、贡献及行业背景的融入，让文章更具可读性和吸引力。

  • Works in 4 steps: 采访问题的提出者，以明确文章的核心论点、核心价值、文章长度及结构（总分总、欧享利式… → 确定文章的大纲 → 在用户已提供的 source 的基础上，挑选、补充事实、图表、数据、代码和示例 → …
  • Tasks that involve Trading and backtesting
  • SKILL.md covers Purpose, When to Use, Output Contract and Writing Standard, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Quant Blog Writing is an agent skill from zillionare/zillionare. 撰写文笔精炼、富有深度的量化交易博文，论点清晰、证据确凿、叙事层次更加丰富。适用于量化交易博文、因子研究、回测复盘、数据源排查、市场微观结构、策略原理、风险控制、职业观察、量化人物故事等选题。文章将聚焦具体角度，提供详实的大纲、证据规划及成稿，力求内容兼具思想深度与诚实性，而非单纯口号式宣传；同时，通过人物经历、引言、贡献及行业背景的融入，让文章更具可读性和吸引力。

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/00.md`).

It sits in Business, Finance & HR, covering Trading and backtesting and Blog and article writing. It works with Python, NumPy and pandas. The repository describes itself as: 量化资源和教程请访问 ke.quantide.cn 和公众号🫶Quantide.

When your agent uses it

  • Tasks that involve Trading and backtesting
  • Tasks that involve Blog and article writing

Example prompts

  • “/quant-blog-writing”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 采访问题的提出者，以明确文章的核心论点、核心价值、文章长度及结构（总分总、欧享利式结尾、递进等）
  2. 确定文章的大纲
  3. 在用户已提供的 source 的基础上，挑选、补充事实、图表、数据、代码和示例
  4. 文字润色思路。针对已有的中间成果，展开丰富的联想，补充文字材料作为润色的基础。

What it can do on your machine

Read from SKILL.md and the folder at commit 03cd8b7. 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):

    • towardsdatascience.com
    • quantpedia.com
    • quantstart.com

    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

Quant Blog Writing loads about 895 tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~895
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.6k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 214 words (~895 tokens).

name
quant-blog-writing
argument-hint
主题、目标读者、字数, for example: 写一篇面向有 Python 基础读者的文章，解释为什么小市值因子在 A 股容易失效，3000字左右
user-invocable
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in .github/skills/quant-blog-writing of zillionare/zillionare.

  • SKILL.md
  • references/00.md

Open the folder on GitHubat commit 03cd8b7

Compare with similar skills

Quant Blog Writing 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.

Quant Blog Writing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Quant Blog Writing this skillzillionare/zillionare322—~895Automated safety check: PassNone
Elliott Wave Signal EngineHKUDS/Vibe-Trading35k—~482Automated safety check: PassMIT
Candlestick Pattern SignalsHKUDS/Vibe-Trading35k—~468Automated safety check: PassMIT
Event-Driven Sentiment SignalsHKUDS/Vibe-Trading35k—~2.1kAutomated safety check: PassMIT
Ichimoku Kinko Hyo SignalsHKUDS/Vibe-Trading35k—~417Automated safety check: PassMIT
Multi-Factor Stock RankingHKUDS/Vibe-Trading35k—~1kAutomated safety check: PassMIT

Similar skills

  • Elliott Wave Signal Engine

    HKUDS/Vibe-Trading

    Detects Elliott Wave structures in price data with a Zigzag swing finder and Fibonacci checks, and turns completed waves into long, short or flat signals.

    35k GitHub stars~482 tokensUpdated today
    Business, Finance & HRAuto-check passed

  • Candlestick Pattern Signals

    HKUDS/Vibe-Trading

    Detects 15 classic candlestick patterns with vectorized pandas code and combines bullish and bearish scores into a long, short or flat trading signal.

    35k GitHub stars~468 tokensUpdated today
    Business, Finance & HRAuto-check passed

  • Event-Driven Sentiment Signals

    HKUDS/Vibe-Trading

    Scores news, announcements and macro events with the LLM, stores them in an event CSV and blends the decaying event signal with technical signals in signal_engine.py.

    35k GitHub stars~2.1k tokensUpdated today
    Business, Finance & HRAuto-check passed

  • Ichimoku Kinko Hyo Signals

    HKUDS/Vibe-Trading

    Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.

    35k GitHub stars~417 tokensUpdated today
    Business, Finance & HRAuto-check passed

  • Multi-Factor Stock Ranking

    HKUDS/Vibe-Trading

    Ranks stocks by standardized factor scores (momentum, reversal, volatility, volume and valuation) and builds an equal-weight TopN portfolio with periodic rebalancing.

    35k GitHub stars~1k tokensUpdated today
    Business, Finance & HRAuto-check passed

  • Pair Trading Signals

    HKUDS/Vibe-Trading

    Trades mean reversion between two correlated instruments using the Z-score of their price ratio, going long one leg and short the other when the ratio stretches.

    35k GitHub stars~651 tokensUpdated today
    Business, Finance & HRAuto-check passed

More from zillionare/zillionare

  • Tushare Data

    zillionare/zillionare

    面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。

    322 GitHub starsUsed in 2 repos~2.3k tokens
    Auto-check passed

Works with

Categories

Questions about Quant Blog Writing

What does Quant Blog Writing do?

撰写文笔精炼、富有深度的量化交易博文，论点清晰、证据确凿、叙事层次更加丰富。适用于量化交易博文、因子研究、回测复盘、数据源排查、市场微观结构、策略原理、风险控制、职业观察、量化人物故事等选题。文章将聚焦具体角度，提供详实的大纲、证据规划及成稿，力求内容兼具思想深度与诚实性，而非单纯口号式宣传；同时，通过人物经历、引言、贡献及行业背景的融入，让文章更具可读性和吸引力。. Quant Blog Writing is an agent skill from zillionare/zillionare.

When should I use Quant Blog Writing?

Quant Blog Writing fits situations like: tasks that involve Trading and backtesting; tasks that involve Blog and article writing.

How do I install Quant Blog Writing in Claude Code?

Run `npx skills add zillionare/zillionare --skill quant-blog-writing -a claude-code`. Or copy the skill folder (.github/skills/quant-blog-writing in zillionare/zillionare) into .claude/skills/quant-blog-writing in your project. Claude Code loads it when a task matches its description.

How do I install Quant Blog Writing in Codex?

Run `npx skills add zillionare/zillionare --skill quant-blog-writing -a codex`. Or copy the skill folder (.github/skills/quant-blog-writing in zillionare/zillionare) into .agents/skills/quant-blog-writing in your project. Codex loads it when a task matches its description.

Can I use Quant Blog Writing 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 zillionare/zillionare --skill quant-blog-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quant-blog-writing, .gemini/skills/quant-blog-writing, .github/skills/quant-blog-writing and .opencode/skills/quant-blog-writing in your project.

What does Quant Blog Writing need to run?

SKILL.md names no scripts, command-line tools or credentials: Quant Blog Writing is instructions for the agent only. Our summary lists: Python 3.

Does Quant Blog Writing access the network?

SKILL.md names 3 domains. As links in the text: towardsdatascience.com, quantpedia.com and quantstart.com. This is read from the text; nothing was executed.

Is Quant Blog Writing 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 Quant Blog Writing use?

No licence was found for Quant Blog Writing or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Quant Blog Writing use?

About 895 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.

What are the alternatives to Quant Blog Writing?

Skills that share tags, products or a category with Quant Blog Writing: Elliott Wave Signal Engine (HKUDS/Vibe-Trading, 35k stars), Candlestick Pattern Signals (HKUDS/Vibe-Trading, 35k stars), Event-Driven Sentiment Signals (HKUDS/Vibe-Trading, 35k stars) and Ichimoku Kinko Hyo Signals (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quant Blog Writing?

zillionare (a GitHub user) maintains it in zillionare/zillionare, which has 322 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 11, 2026.

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