Stock API
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
Analyze China macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and HK stock markets.
Install China Macro Analyst
$ npx skills add nicepkg/ai-workflow --skill china-macro-analyst -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow china-macro-analyst --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/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst .claude/skills/china-macro-analyst && 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 "china-macro-analyst" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst into .claude/skills/china-macro-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "china-macro-analyst", 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/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/china-macro-analystType 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 nicepkg/ai-workflow --skill china-macro-analyst -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow china-macro-analyst --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst .agents/skills/china-macro-analyst && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "china-macro-analyst" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst into .agents/skills/china-macro-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "china-macro-analyst", 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 nicepkg/ai-workflow --skill china-macro-analyst -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow china-macro-analyst --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst .cursor/skills/china-macro-analyst && 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 "china-macro-analyst" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst into .cursor/skills/china-macro-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "china-macro-analyst", 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/nicepkg/ai-workflow.git --path workflows/stock-trader-workflow/.claude/skills/china-macro-analyst--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 nicepkg/ai-workflow --skill china-macro-analyst -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow china-macro-analyst --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst .gemini/skills/china-macro-analyst && 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 "china-macro-analyst" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst into .gemini/skills/china-macro-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "china-macro-analyst", 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 nicepkg/ai-workflow china-macro-analystInstalls 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 nicepkg/ai-workflow --skill china-macro-analyst -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst .github/skills/china-macro-analyst && 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 "china-macro-analyst" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst into .github/skills/china-macro-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "china-macro-analyst", 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 nicepkg/ai-workflow --skill china-macro-analyst -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nicepkg/ai-workflow china-macro-analyst --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst .opencode/skills/china-macro-analyst && 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 "china-macro-analyst" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/china-macro-analyst into .opencode/skills/china-macro-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "china-macro-analyst", 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.
Facts
- Skill name
china-macro-analyst- GitHub stars
- 285
- Token cost
- ~1.5k tokens
- SKILL.md length
- 309 words
- Files
- 1
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze China macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and HK stock markets.
- Works in 5 steps: Economic Data Interpretation → Monetary Policy Analysis → Fiscal Policy Analysis → …
- User asks about 中国宏观经济
- SKILL.md covers Overview, Key Economic Indicators, Data Sources and Analysis Framework, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
China Macro Analyst is an agent skill from nicepkg/ai-workflow. Analyze China macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and HK stock markets. Track GDP, CPI, PPI, PMI, social financing, and interpret policy signals. Use when user asks about 中国宏观经济, 央行政策, economic data impact on markets, or needs to understand policy implications for investment.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.
When your agent uses it
- User asks about 中国宏观经济
- Economic data impact on markets
- Needs to understand policy implications for investment
Example prompts
- “/china-macro-analyst”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit d167b41. 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 (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
China Macro Analyst loads about 1.5k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 309 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.
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
The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 309 words, ~1,460 tokens.
Download SKILL.mdSave it as
.claude/skills/china-macro-analyst/SKILL.md (or your agent's skills folder).- name
- china-macro-analyst
- description
- Analyze China macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and HK stock markets. Track GDP, CPI, PPI, PMI, social financing, and interpret policy signals. Use when user asks about 中国宏观经济, 央行政策, economic data impact on markets, or needs to understand policy implications for investment.
中国宏观分析 (China Macro Analyst)
Overview
Analyze China's macroeconomic environment, monetary policy, fiscal policy, and their implications for equity markets. Interpret key economic indicators, policy signals, and their potential impact on different sectors and investment strategies.
Key Economic Indicators
Growth Indicators
| Indicator | Chinese | Frequency | Release |
|---|---|---|---|
| GDP Growth | GDP增速 | Quarterly | ~15th of month after quarter |
| Industrial Production | 工业增加值 | Monthly | ~15th |
| Retail Sales | 社会消费品零售总额 | Monthly | ~15th |
| Fixed Asset Investment | 固定资产投资 | Monthly | ~15th |
Price Indicators
| Indicator | Chinese | Frequency | Key Levels |
|---|---|---|---|
| CPI | 居民消费价格指数 | Monthly | Target ~3% |
| PPI | 工业生产者出厂价格指数 | Monthly | Deflation < 0% |
| Core CPI | 核心CPI (剔除食品能源) | Monthly |
Activity Indicators
| Indicator | Chinese | Frequency | Key Levels |
|---|---|---|---|
| Manufacturing PMI | 制造业PMI | Monthly | Expansion > 50 |
| Non-Mfg PMI | 非制造业PMI | Monthly | Expansion > 50 |
| Caixin PMI | 财新PMI | Monthly | Private sector focus |
Financial Indicators
| Indicator | Chinese | Frequency |
|---|---|---|
| Social Financing | 社会融资规模 | Monthly |
| M2 Growth | M2增速 | Monthly |
| New RMB Loans | 新增人民币贷款 | Monthly |
| LPR | 贷款市场报价利率 | Monthly (20th) |
External Indicators
| Indicator | Chinese | Frequency |
|---|---|---|
| Exports | 出口 | Monthly |
| Imports | 进口 | Monthly |
| Trade Balance | 贸易顺差 | Monthly |
| FX Reserves | 外汇储备 | Monthly |
| RMB Exchange Rate | 人民币汇率 | Daily |
Data Sources
Official Sources:
- 国家统计局 (stats.gov.cn) - GDP, CPI, PPI, Industrial Production
- 中国人民银行 (pbc.gov.cn) - Monetary data, interest rates
- 海关总署 (customs.gov.cn) - Trade data
- 财政部 (mof.gov.cn) - Fiscal data
Search Strategy:
- "[指标名称] [月份]" e.g., "中国CPI 12月"
- "央行 [政策类型]" e.g., "央行降准"
- "[行业] 政策" e.g., "房地产政策 最新"
Analysis Framework
1. Economic Data Interpretation
GDP Analysis:
### GDP数据解读
| 指标 | 本期 | 上期 | 预期 | 解读 |
|-----|------|-----|------|------|
| GDP同比 | X.X% | X.X% | X.X% | 高于/低于/符合预期 |
| GDP环比 | X.X% | X.X% | | |
**分项分析:**
- 第一产业: X.X% (农业)
- 第二产业: X.X% (工业/制造业)
- 第三产业: X.X% (服务业)
**市场影响:**
[分析对股市、债市、汇率的潜在影响]Inflation Analysis:
### 通胀数据解读
| 指标 | 本月 | 上月 | 同比 | 环比 |
|-----|------|-----|------|------|
| CPI | | | X.X% | X.X% |
| 核心CPI | | | X.X% | |
| PPI | | | X.X% | X.X% |
**CPI分项:**
- 食品: X.X% (猪肉、蔬菜等)
- 非食品: X.X%
- 服务: X.X%
- 商品: X.X%
**PPI分项:**
- 生产资料: X.X%
- 生活资料: X.X%
**投资含义:**
- CPI上行: [对消费股、债券的影响]
- PPI上行: [对上游资源股、中游制造的影响]
- CPI-PPI剪刀差: [对利润分配的影响]PMI Analysis:
### PMI数据解读
| 指标 | 本月 | 上月 | 荣枯线 |
|-----|------|-----|-------|
| 制造业PMI | XX.X | XX.X | 50 |
| 非制造业PMI | XX.X | XX.X | 50 |
| 综合PMI | XX.X | XX.X | 50 |
**制造业分项:**
- 生产指数: XX.X
- 新订单指数: XX.X
- 新出口订单: XX.X
- 原材料库存: XX.X
- 从业人员: XX.X
**信号解读:**
- PMI > 50: 经济扩张
- PMI < 50: 经济收缩
- 连续X月高于/低于荣枯线2. Monetary Policy Analysis
PBOC Policy Tools:
### 货币政策工具
**利率工具:**
| 利率 | 当前 | 上次调整 | 方向 |
|-----|------|---------|------|
| 1年LPR | X.XX% | [日期] | 降/升/持平 |
| 5年LPR | X.XX% | [日期] | 降/升/持平 |
| MLF利率 | X.XX% | [日期] | |
| 逆回购利率 | X.XX% | [日期] | |
| 存款准备金率 | X.X% | [日期] | |
**数量工具:**
| 工具 | 本周操作 | 到期量 | 净投放 |
|-----|---------|-------|-------|
| 逆回购 | XXX亿 | XXX亿 | +/-XXX亿 |
| MLF | XXX亿 | XXX亿 | +/-XXX亿 |
| 国库定存 | XXX亿 | | |
**政策信号:**
[解读央行政策取向: 宽松/中性/收紧]Policy Interpretation:
- 降准: 释放长期流动性，利好银行、地产
- 降息: 降低融资成本，利好成长股
- 结构性工具: 定向支持特定领域 (科技、绿色、小微)
- 窗口指导: 关注信贷投向变化
3. Fiscal Policy Analysis
Fiscal Data:
### 财政数据
| 指标 | 本月 | 累计 | 同比 |
|-----|------|-----|------|
| 财政收入 | XXXX亿 | XXXX亿 | X.X% |
| 财政支出 | XXXX亿 | XXXX亿 | X.X% |
| 财政赤字 | | XXXX亿 | |
**地方债:**
- 新增专项债额度: XXXX亿
- 已发行: XXXX亿
- 发行进度: XX%
**投资方向:**
[财政支出重点领域: 基建、民生、科技等]4. Sector Policy Analysis
Key Policy Areas:
### 行业政策追踪
**房地产:**
- 限购/限贷政策变化
- 房贷利率调整
- 保交楼政策
- 房企融资政策
**科技/半导体:**
- 自主可控政策
- 科技补贴
- 出口管制应对
**新能源:**
- 新能源汽车补贴
- 光伏/风电政策
- 储能政策
**消费:**
- 促消费政策
- 消费券发放
- 家电下乡/以旧换新
**金融:**
- 金融监管政策
- 注册制改革
- 对外开放措施5. Market Impact Assessment
Impact Matrix:
| Economic Event | A股影响 | 港股影响 | 受益板块 | 受损板块 |
|---|---|---|---|---|
| 降准 | + | + | 银行、地产 | - |
| 降息 | + | + | 成长股 | 银行 |
| CPI上行 | - | - | 消费 | 成长股 |
| PMI超预期 | + | + | 周期股 | 防御股 |
| 人民币升值 | + | + | 航空、造纸 | 出口股 |
| 人民币贬值 | - | - | 纺织出口 | 航空 |
Output Templates
Economic Data Report
# [指标名称] 数据解读 [日期]
## 数据概览
[核心数据表格]
## 数据解读
[数据含义分析]
## 市场影响
- **对A股:** [影响分析]
- **对港股:** [影响分析]
- **对债市:** [影响分析]
- **对汇率:** [影响分析]
## 投资建议
- 受益板块: [列出]
- 规避板块: [列出]
- 操作建议: [具体建议]Policy Analysis Report
# [政策名称] 政策解读
## 政策要点
1. [要点1]
2. [要点2]
3. [要点3]
## 政策背景
[出台背景分析]
## 行业影响
| 行业 | 影响程度 | 影响方向 | 分析 |
|-----|---------|---------|------|
| | 高/中/低 | 正面/负面 | |
## 相关标的
- **直接受益:** [股票列表]
- **间接受益:** [股票列表]
- **可能受损:** [股票列表]
## 投资策略
[基于政策的投资策略建议]Example Queries
经济数据:
- "最新CPI数据怎么解读"
- "PMI对股市有什么影响"
- "GDP增速低于预期意味着什么"
- "社融数据分析"
货币政策:
- "央行最近有什么政策"
- "降准对股市的影响"
- "LPR下调利好哪些板块"
- "当前货币政策取向分析"
财政政策:
- "专项债发行情况"
- "财政政策对基建股的影响"
- "政府工作报告解读"
行业政策:
- "房地产政策最新变化"
- "新能源政策分析"
- "科技自主可控相关政策"
- "促消费政策有哪些"
综合分析:
- "当前宏观经济形势分析"
- "政策环境对投资的影响"
- "下半年宏观展望"
© nicepkg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in workflows/stock-trader-workflow/.claude/skills/china-macro-analyst of nicepkg/ai-workflow.
Open the folder on GitHubat commit d167b41
Compare with similar skills
China Macro Analyst 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.
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| China Macro Analyst this skillnicepkg/ai-workflow | 285 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 271 | 3 repos | ~2.1k | Automated safety check: Pass | MIT |
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Processes Drafts Pro captures from the Inbox folder. An agent skill from nicepkg/ai-workflow.
Legacy To AI Ready
nicepkg/ai-workflow
Transform legacy codebases into AI-ready projects with Claude Code configurations.
Newsletter Coach
nicepkg/ai-workflow
Writing coach that extracts educational content from your daily experiences and turns it into publish-ready newsletter drafts.
Webfluence
nicepkg/ai-workflow
Content web architecture framework. An agent skill from nicepkg/ai-workflow.
Workflow Creator
nicepkg/ai-workflow
Create complete Claude Code workflow directories with curated skills.
Media Processing
nicepkg/ai-workflow
Video/audio/image processing with FFmpeg and ImageMagick. An agent skill from nicepkg/ai-workflow.
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Questions about China Macro Analyst
What does China Macro Analyst do?
Analyze China macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and HK stock markets. China Macro Analyst is an agent skill from nicepkg/ai-workflow. Analyze China macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and HK stock markets.
When should I use China Macro Analyst?
China Macro Analyst fits situations like: user asks about 中国宏观经济; economic data impact on markets; needs to understand policy implications for investment.
How do I install China Macro Analyst in Claude Code?
Run `npx skills add nicepkg/ai-workflow --skill china-macro-analyst -a claude-code`. Or copy the skill folder (workflows/stock-trader-workflow/.claude/skills/china-macro-analyst in nicepkg/ai-workflow) into .claude/skills/china-macro-analyst in your project. Claude Code loads it when a task matches its description.
How do I install China Macro Analyst in Codex?
Run `npx skills add nicepkg/ai-workflow --skill china-macro-analyst -a codex`. Or copy the skill folder (workflows/stock-trader-workflow/.claude/skills/china-macro-analyst in nicepkg/ai-workflow) into .agents/skills/china-macro-analyst in your project. Codex loads it when a task matches its description.
Can I use China Macro Analyst 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 nicepkg/ai-workflow --skill china-macro-analyst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/china-macro-analyst, .gemini/skills/china-macro-analyst, .github/skills/china-macro-analyst and .opencode/skills/china-macro-analyst in your project.
What does China Macro Analyst need to run?
SKILL.md names no scripts, command-line tools or credentials: China Macro Analyst is instructions for the agent only.
Does China Macro Analyst access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is China Macro Analyst 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 China Macro Analyst use?
China Macro Analyst is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does China Macro Analyst use?
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to China Macro Analyst?
Skills that share tags, products or a category with China Macro Analyst: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains China Macro Analyst?
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on January 20, 2026.
Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.