Agent skill · Data & Analytics

longbridge-ichimoku

Ichimoku Cloud (一目均衡表) five-line system signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes Tenkan-sen, Kijun-sen, Senkou Span A/B, and Chikou Span from OHLCV data; generates price-vs-cloud position, line-cross signals, and full trend-confirmation scores. Triggers: "一目均衡表", "一目云", "云图", "转折线", "基准线", "先行带", "迟行线", "云上", "云下", "一目均衡表", "一目雲", "雲圖", "轉折線", "基準線", "先行帶", "遲行線", "ichimoku", "ichimoku cloud", "tenkan sen", "kijun sen", "senkou span", "chikou span", "cloud breakout".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-ichimoku --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-ichimoku/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# longbridge-ichimoku Computes the full Ichimoku Cloud five-line system from 200 days of OHLCV data and produces bullish / bearish / neutral signals with per-component interpretation. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use - *"NVDA 一目云位置"*, *"700.HK 是否在云上方"*, *"转折线有没有上穿基准线"* - *"TSLA ichimoku signal"*, *"is AAPL above the cloud"*, *"cloud breakout"* - *"600519.SH 雲圖分析"*, *"先行帶是否扩张"*, *"遲行線確認"* ## Workflow 1. Resolve the symbol to `<CODE>.<MARKET>` format. 2. Fetch 200 daily candles (need ≥ 52 bars for Senkou Span B): ```bash longbridge kline <SYMBOL> --period day --count 200 --format json ``` 3. Run the Python analysis below to compute all five lines and derive signals. 4. Report each component's value and signal, then summarise with a composite conclusion. ## CLI ```bash longbridge kline NVDA.US --period day --count 200 --format json longbridge kline 700.HK --period day --count 200 --format json longbridge kline 600519.SH --period day --count 200 --format json ``` Run `longbridge kline --help` to verify current flag names and defaults. ## Python analysis ```python import pandas as pd, json, sys

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. CLI
  4. Python analysis
  5. Output
  6. Error handling
  7. MCP fallback
  8. Related skills
Ships with 1 file
  • metadata.json
Commands it runs
longbridge kline <SYMBOL> --period day --count 200 --format json
longbridge kline NVDA.US   --period day --count 200 --format json
longbridge kline 700.HK    --period day --count 200 --format json
longbridge kline 600519.SH --period day --count 200 --format json
More from claude-skill-registry
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About this skill
What does the longbridge-ichimoku skill do?

Ichimoku Cloud (一目均衡表) five-line system signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes Tenkan-sen, Kijun-sen, Senkou Span A/B, and Chikou Span from OHLCV data; generates price-vs-cloud position, line-cross signals, and full trend-confirmation scores. Triggers: "一目均衡表", "一目云", "云图", "转折线", "基准线", "先行带", "迟行线", "云上", "云下", "一目均衡表", "一目雲", "雲圖", "轉折線", "基準線", "先行帶", "遲行線", "ichimoku", "ichimoku cloud", "tenkan sen", "kijun sen", "senkou span", "chikou span", "cloud breakout".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-ichimoku --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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