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mql5-indicator-patternsMQL5 指标模式

Agent Skill

mql5-indicator-patterns 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,536

周安装

267

GitHub Stars

37

下载量

2,093
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mql5-indicator-patterns(MQL5 指标模式)
来源仓库:https://github.com/terrylica/cc-skills
仓库路径:skills/mql5-indicator-patterns
安装命令:
npx skills add https://github.com/terrylica/cc-skills --skill mql5-indicator-patterns
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/terrylica/cc-skills --skill mql5-indicator-patterns

简介

mql5-indicator-patterns 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态和协作事项进行整理。

  • 适用于需要跟踪代码变更、管理 Issue 或参与协作的开发场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 建议确认权限范围、维护状态,以及是否会触发联网或命令执行操作。
  • 可结合来源仓库 README 进一步核验具体用法和功能边界。

SKILL.md

MQL5 Visual Indicator Patterns

Battle-tested patterns for creating custom MQL5 indicators with proper display, buffer management, and real-time updates.

Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

When to Use This Skill

Use this skill when:

  • Creating custom MQL5 indicators for MetaTrader 5
  • Debugging indicator display or buffer issues
  • Setting up OnCalculate with proper warmup handling
  • Implementing new bar detection patterns

Quick Reference

Essential Patterns

Display Scale (for small values < 1.0):

IndicatorSetDouble(INDICATOR_MINIMUM, 0.0);
IndicatorSetDouble(INDICATOR_MAXIMUM, 0.1);

Buffer Setup (visible + hidden):

SetIndexBuffer(0, BufVisible, INDICATOR_DATA);        // Visible
SetIndexBuffer(1, BufHidden, INDICATOR_CALCULATIONS); // Hidden

New Bar Detection (prevents drift):

static int last_processed_bar = -1;
bool is_new_bar = (i > last_processed_bar);

Warmup Calculation:

int StartCalcPosition = underlying_warmup + own_warmup;
PlotIndexSetInteger(0, PLOT_DRAW_BEGIN, StartCalcPosition);

Common Pitfalls

Blank Display: Set explicit scale (see Display Scale reference)

Rolling Window Drift: Use new bar detection with hidden buffer (see Recalculation reference)

Misaligned Plots: Calculate correct PLOT_DRAW_BEGIN (see Complete Template reference)

Forward-Indexed Arrays: Always set ArraySetAsSeries(buffer, false)


Key Patterns

For production MQL5 indicators:

  1. Explicit scale for small values (< 1.0 range)
  2. Hidden buffers for recalculation tracking
  3. New bar detection prevents rolling window drift
  4. Static variables maintain state efficiently
  5. Proper warmup calculation prevents misalignment
  6. Forward indexing for code clarity

These patterns solve the most common indicator development issues encountered in real-world MT5 development.


Troubleshooting

IssueCauseSolution
Blank indicator windowScale not set for small valuesSet INDICATOR_MINIMUM/MAXIMUM explicitly
Values drifting over timeRolling window not resetUse new bar detection with hidden buffer
Misaligned plot startWrong PLOT_DRAW_BEGINCalculate: underlying_warmup + own_warmup
Reversed array indexingSeries mode enabledCall ArraySetAsSeries(buffer, false)
Buffer values incorrectWrong INDICATOR_DATA typeUse INDICATOR_CALCULATIONS for hidden buffers
Compile error on bufferBuffer count mismatchMatch #property indicator_buffers with SetIndexBuffer
Indicator not updatingOnCalculate return wrongReturn rates_total to signal successful calculation
Performance issuesRecalculating all barsOnly recalculate from prev_calculated onwards

Reference Documentation

For detailed information, see:

Post-Execution Reflection

After this skill completes, check before closing:

  1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
  2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
  3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Antigravity

30.62%
按下载量换算641

Claude Code

26.61%
按下载量换算557

Gemini CLI

17.2%
按下载量换算360

OpenCode

11.69%
按下载量换算245

windsurf

8.55%
按下载量换算179

trae

3.94%
按下载量换算82

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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