Agent skill

longbridge-elliott

艾略特波浪理论信号引擎——通过 Zigzag 检测摆动点,匹配 5 浪推动(1-2-3-4-5)与 3 浪调整(A-B-C)结构,结合斐波那契关系校验,生成波浪位置、目标价位与风险位。Triggers: "艾略特波浪", "波浪理论", "推动浪", "调整浪", "斐波那契", "1浪", "3浪", "5浪", "abc浪", "艾略特", "波浪計數", "推動浪", "調整浪", "斐波那契", "Elliott wave", "wave theory", "impulse wave", "corrective wave", "fibonacci retracement", "wave count", "wave 3", "wave 5".

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-elliott/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-elliott 艾略特波浪理论信号引擎:基于 Zigzag 摆动点识别,自动匹配五浪推动结构(1-2-3-4-5)与三浪调整结构(A-B-C),辅以斐波那契比率校验,输出当前波浪位置、目标价位与止损风险位。 > **Response language**: match the user's input language — > Simplified Chinese / Traditional Chinese / English. ## When to use - 用户询问波浪计数:*"AAPL 现在走到几浪了"*、*"TSLA 是不是在 4 浪调整"*、*"700.HK 的 Elliott wave 分析"* - 判断行情是否处于推动浪(看多)或调整浪(看空) - 结合斐波那契位置估算目标价和回调支撑 - 用户提到"艾略特"、"浪计数"、"五浪结构"等关键词 ## Workflow 1. 提取标的代码,标准化为 `<CODE>.<MARKET>` 格式。 2. 获取日线 OHLCV 数据(200 根 K 线): ```bash longbridge kline <SYMBOL> --period day --format json # run --help for available flags ``` 3. **Zigzag 识别摆动点**(Python 实现,threshold 默认 5%): ```python def zigzag(highs, lows, threshold=0.05): # 寻找局部高低点序列 # 相邻同向点取极值合并,反向超过 threshold 才确认新摆动点 ... ``` 4. **匹配五浪推动结构**,需满足: - 波 3 不是最短浪(通常最长) - 波 4 不与波 1 价格区间重叠 - 波 2 回撤不超过波 1 起点 5. **斐波那契校验**: - 波 2 回撤:0.382–0.618 × 波 1 - 波 3 延伸:≥ 1.618 × 波 1(常见 1.618–2.618) - 波 4 回撤:0.236–0.382 × 波 3 - 波 5 ≈ 波 1(容差 ±20%) 6. **匹配三浪调整结构** A-B-C(推动浪结束后出现): - B 浪回撤:0.382–0.786 × A 浪 - C 浪 ≈ A 浪(容差 ±20%) 7. 输出当前波浪位置、目标价位、止损位。 > 若不确定 CLI 参数,先运行 `longbridge kline --help` 查看最新参数。 ## CLI ```bash # 日线数据(主要数据源) longbridge kline AAPL.US --period day --format json # run --help for available flag

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. CLI
  4. Output
  5. Error handling
  6. MCP fallback
  7. Related skills
  8. File layout
Ships with 1 file
  • metadata.json
Commands it runs
longbridge kline <SYMBOL> --period day --format json   # run --help for available flags
longbridge kline AAPL.US --period day --format json   # run --help for available flags
longbridge kline TSLA.US --period week --format json
More from claude-skill-registry
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About this skill
What does the longbridge-elliott skill do?

艾略特波浪理论信号引擎——通过 Zigzag 检测摆动点,匹配 5 浪推动(1-2-3-4-5)与 3 浪调整(A-B-C)结构,结合斐波那契关系校验,生成波浪位置、目标价位与风险位。Triggers: "艾略特波浪", "波浪理论", "推动浪", "调整浪", "斐波那契", "1浪", "3浪", "5浪", "abc浪", "艾略特", "波浪計數", "推動浪", "調整浪", "斐波那契", "Elliott wave", "wave theory", "impulse wave", "corrective wave", "fibonacci retracement", "wave count", "wave 3", "wave 5".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-elliott --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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