Itr Wala
karanb192/itr-wala
File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.
Backtrader 开源量化回测框架,支持多数据源、多策略、多周期回测与实盘交易,纯Python实现。当用户需要开发量化策略、进行回测分析、编写交易逻辑、回测参数优化,或提及 backtrader、量化回测框架时使用。若用户仅需数据获取而无回测需求,引导使用 baostock/akshare/tushare 等数据 Skill。
$ npx skills add lzwme/finance-quant-skills --skill backtrader -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lzwme/finance-quant-skills backtrader --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/backtrader .claude/skills/backtrader && rm -rf skills-srcUse ~/.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/
Install the "backtrader" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/backtrader into .claude/skills/backtrader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtrader", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lzwme/finance-quant-skills/tree/main/skills/backtraderType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lzwme/finance-quant-skills --skill backtrader -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lzwme/finance-quant-skills backtrader --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/backtrader .agents/skills/backtrader && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "backtrader" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/backtrader into .agents/skills/backtrader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtrader", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lzwme/finance-quant-skills --skill backtrader -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lzwme/finance-quant-skills backtrader --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/backtrader .cursor/skills/backtrader && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "backtrader" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/backtrader into .cursor/skills/backtrader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtrader", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lzwme/finance-quant-skills.git --path skills/backtrader--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lzwme/finance-quant-skills --skill backtrader -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lzwme/finance-quant-skills backtrader --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/backtrader .gemini/skills/backtrader && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "backtrader" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/backtrader into .gemini/skills/backtrader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtrader", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lzwme/finance-quant-skills backtraderInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lzwme/finance-quant-skills --skill backtrader -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/backtrader .github/skills/backtrader && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "backtrader" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/backtrader into .github/skills/backtrader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtrader", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lzwme/finance-quant-skills --skill backtrader -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lzwme/finance-quant-skills backtrader --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/backtrader .opencode/skills/backtrader && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "backtrader" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/backtrader into .opencode/skills/backtrader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtrader", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
backtraderBacktrader 开源量化回测框架,支持多数据源、多策略、多周期回测与实盘交易,纯Python实现。当用户需要开发量化策略、进行回测分析、编写交易逻辑、回测参数优化,或提及 backtrader、量化回测框架时使用。若用户仅需数据获取而无回测需求,引导使用 baostock/akshare/tushare 等数据 Skill。
Backtrader is an agent skill from lzwme/finance-quant-skills. Backtrader 开源量化回测框架,支持多数据源、多策略、多周期回测与实盘交易,纯Python实现。当用户需要开发量化策略、进行回测分析、编写交易逻辑、回测参数优化,或提及 backtrader、量化回测框架时使用。若用户仅需数据获取而无回测需求,引导使用 baostock/akshare/tushare 等数据 Skill。
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/advanced-strategies.md`).
It sits in Business, Finance & HR. It works with Python. The repository describes itself as: 一个面向金融量化交易领域的 Agent Skills 技能维护仓库,主要聚焦A股量化交易。
Read from SKILL.md and the folder at commit d973f35. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.combacktrader.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Backtrader loads about 2.8k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 136 words of instructions outside code blocks.
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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 136 words (~2,756 tokens).
“Backtrader 是一个开源 Python 量化回测框架。采用事件驱动架构,核心组件包括:Cerebro(引擎)、Strategy(策略类)、Data Feed(数据源)、Broker(经纪商)、Indicator(内置 100+ 技术指标)、Analyzer(绩效分析)。纯 Python 实现,无外部依赖,适合离线研究。”
SKILL.md and 1 other file (references) in skills/backtrader of lzwme/finance-quant-skills.
Open the folder on GitHubat commit d973f35
Backtrader 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Backtrader this skilllzwme/finance-quant-skills | 440 | — | ~2.8k | Automated safety check: Pass | None | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Global Stock Datasimonlin1212/global-stock-data | 1.7k | — | ~19k | Automated safety check: Pass | Apache-2.0 | |
| Korean Government Grant Searchdjfksjd/ir-search | 392 | — | ~3.5k | Automated safety check: Notes | MIT | |
| Kalshi Traderyanfrigo/kalshi-ai-trading-bot | 614 | — | ~3.4k | Automated safety check: Pass | MIT |
karanb192/itr-wala
File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.
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。
simonlin1212/global-stock-data
美股港股全栈数据工具包(官方源优先)— 十三层架构·30+端点·11数据源·全部零鉴权。在原有行情/K线/技术指标(MA/MACD/RSI/KDJ/布林带)/基本面/资金面/期权/SEC Filing/工具八层之上,新增:CBOE官方期权链(完整希腊字母+IV+0DTE流+异动识别)、FINRA全市场每日空头成交量、SEC…
djfksjd/ir-search
Surveys open Korean government startup and R&D support programs and sorts them by fit with your project, checking eligibility against the original notices.
ryanfrigo/kalshi-ai-trading-bot
The disciplined process for autonomously and profitably trading the live Kalshi account on each /loop tick, with Claude as the decision-maker.
wudengyao/stock-analysis-team
提供股票多维度分析团队协同研究能力;当用户需要股票分析、投资决策支持、风险评估、市场复盘或回测验证时使用. An agent skill from wudengyao/stock-analysis-team.
lzwme/finance-quant-skills
AKShare 开源金融数据接口库,提供股票、期货、期权、基金、外汇、债券、指数、加密货币等全品类金融数据;当用户需要获取各类金融市场数据时使用
lzwme/finance-quant-skills
BaoStock 免费开源 A 股数据平台,无需注册、无需 API Key,支持股票行情、K线、财务数据、行业分类、指数成分股查询。当用户提及 baostock、需要获取A股历史行情、财务报表、交易日历,或需要免费、免注册的A股数据时使用。与 tushare(数据更全但需注册)和 jqdatasdk(聚宽数据)不同,baostock 完全免费无限制,适合快速入门和低成本数据需求。
lzwme/finance-quant-skills
机构级投研报告生成技能。覆盖中国A股、港股、美股上市公司。输出模式:1)投资速览:3-5页,含公司概览、核心财务指标、估值倍数、投资逻辑与风险因素;2)深度研报:≥25页,含行业分析、产业链图谱、三表模型、DCF估值、情景分析与敏感性测试。触发条件:1)直接请求:分析/看看/研究/调研/介绍一下 + 公司名或股票;2)投资询问:你怎么看/能不能买/值得投吗/帮我看看/扒一扒 +…
lzwme/finance-quant-skills
聚宽(JoinQuant)本地数据 SDK,提供 A 股行情、历史K线、财务数据、指标数据等,与聚宽官网数据同源。当用户提及 jqdatasdk、聚宽数据、需要获取A股数据,或已注册聚宽账号时使用。与 baostock(免费)和 tushare(数据最全)不同,jqdatasdk 需注册聚宽账号获取 Token,适合已在使用聚宽平台的用户。本地数据获取请用本技能,聚宽官网策略开发请用…
lzwme/finance-quant-skills
MiniQMT 迅投量化交易接口,基于 XtQuant Python 库(xtdata 行情 / xttrader 交易),供外部 Python 程序连接 MiniQMT 客户端,支持 A 股/期货/期权的行情获取(K线、分笔、财务数据等)和交易下单(报单、撤单、查询资产/委托/持仓)。当用户提及 miniqmt、xtquant、获取实时行情、量化交易下单、回测数据获取,或需要用外部…
lzwme/finance-quant-skills
通达信量化数据获取技能。当用户提及 tdxquant、通达信、TdxQuant、tqcenter,并且需要获取A股数据(行情快照、K线、财务、板块、可转债、新股、交易数据等)、查询交易日历、执行通达信公式、订阅行情、交易下单时使用
Works with
Categories
Backtrader 开源量化回测框架,支持多数据源、多策略、多周期回测与实盘交易,纯Python实现。当用户需要开发量化策略、进行回测分析、编写交易逻辑、回测参数优化,或提及 backtrader、量化回测框架时使用。若用户仅需数据获取而无回测需求,引导使用 baostock/akshare/tushare 等数据 Skill。. Backtrader is an agent skill from lzwme/finance-quant-skills.
Backtrader fits situations like: business, Finance & HR work in your project.
Run `npx skills add lzwme/finance-quant-skills --skill backtrader -a claude-code`. Or copy the skill folder (skills/backtrader in lzwme/finance-quant-skills) into .claude/skills/backtrader in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lzwme/finance-quant-skills --skill backtrader -a codex`. Or copy the skill folder (skills/backtrader in lzwme/finance-quant-skills) into .agents/skills/backtrader in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lzwme/finance-quant-skills --skill backtrader -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/backtrader, .gemini/skills/backtrader, .github/skills/backtrader and .opencode/skills/backtrader in your project.
Going by SKILL.md and its folder, Backtrader needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md names 2 domains. As links in the text: github.com and backtrader.com. This is read from the text; nothing was executed.
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.
No licence was found for Backtrader or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.8k tokens (SKILL.md is roughly 11k 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 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Backtrader: Itr Wala (karanb192/itr-wala, 871 stars), Tushare Data (zillionare/zillionare, 321 stars), Global Stock Data (simonlin1212/global-stock-data, 1.7k stars) and Korean Government Grant Search (djfksjd/ir-search, 392 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lzwme (a GitHub organization) maintains it in lzwme/finance-quant-skills, which has 440 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 23, 2026.
Source: lzwme/finance-quant-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.