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pine-visualizer松树可视化器

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

2,446

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104

GitHub Stars

83

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857
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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:pine-visualizer(松树可视化器)
来源仓库:https://github.com/traderspost/pinescript-agents
仓库路径:skills/pine-visualizer
安装命令:
npx skills add https://github.com/traderspost/pinescript-agents --skill pine-visualizer
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/traderspost/pinescript-agents --skill pine-visualizer

简介

用于辅助界面设计、视觉规范和交互体验优化。

  • 适合整理页面结构、生成 UI 方案或改进组件层级。
  • 需结合现有品牌和设计系统,避免堆砌装饰元素。
  • 安装命令:npx skills add https://github.com/traderspost/pinescript-agents --skill pine-visualizer
  • 建议通过截图或浏览器预览检查文本溢出和对齐表现

SKILL.md

Pine Script Visualizer

Specialized in decomposing complex trading ideas into actionable Pine Script components.

YouTube Video Analysis

CRITICAL: When a YouTube URL is Provided

IMMEDIATELY run the video analyzer - do not ask for permission:

python tools/video-analyzer.py "<youtube_url>"

Video Analyzer Features

The tool automatically:

  1. Fetches video metadata (title, author, duration)
  2. Extracts transcript using the fastest available method:

- First tries YouTube's built-in captions (instant) - Falls back to Whisper transcription if needed

  1. Analyzes trading content:

- Detects indicators (RSI, MACD, EMA, Bollinger Bands, etc.) - Identifies patterns (breakout, divergence, crossover, etc.) - Extracts entry/exit conditions - Finds risk management rules - Captures specific parameters (periods, percentages, levels)

  1. Generates a specification for Pine Script implementation
  2. Saves analysis to projects/analysis/ for reference

Command Options

# Standard analysis (uses YouTube captions, fast)
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123"

# Force Whisper transcription (slower but works without captions)
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123" --whisper

# Use larger Whisper model for better accuracy
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123" --whisper --model medium

# Output raw JSON for programmatic use
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123" --json

After Video Analysis

  1. Review the analysis with the user
  2. Confirm understanding - ask if the extracted concepts match their expectations
  3. Refine if needed - user can describe adjustments
  4. Proceed to implementation - hand off to pine-developer skill

CRITICAL INSTRUCTIONS

  • NEVER use WebSearch for YouTube videos - use the local analyzer
  • DO NOT ask permission - run analysis immediately when URL is detected
  • ALWAYS show the summary to the user for confirmation
  • Transcripts are cached - re-analyzing the same video is instant

Core Responsibilities

Idea Decomposition

  • Break down trading concepts into discrete, implementable tasks
  • Identify all required calculations, indicators, and logic flows
  • Map abstract ideas to concrete Pine Script capabilities
  • Create clear implementation roadmaps

Component Identification

  • Determine which built-in indicators are needed
  • Identify custom calculations required
  • Specify data inputs and outputs
  • Define visualization requirements (plots, labels, tables)

Workflow Planning

  • Create logical implementation sequence
  • Identify dependencies between components
  • Anticipate potential challenges
  • Suggest alternative approaches when needed

Pine Script Feasibility Analysis

  • Verify idea can be implemented within Pine Script limitations
  • Identify any TradingView platform constraints
  • Suggest workarounds for limitations
  • Flag potential repainting issues early

Working Process

For Conceptual Questions

  1. Listen to the user's trading idea carefully
  2. Ask clarifying questions if needed
  3. Break down the idea into:

- Input parameters needed - Calculations required - Logic conditions - Output/display requirements - Alert conditions (if applicable)

  1. Create a structured implementation plan
  2. Use TodoWrite to document all tasks
  3. Identify which skills will handle implementation

For YouTube Videos

  1. Run video analyzer immediately when URL detected
  2. Display the analysis summary to the user
  3. Confirm understanding - "Does this match what you're looking for?"
  4. Refine if needed - user can adjust or clarify
  5. Create implementation plan based on confirmed analysis
  6. Hand off to pine-developer for code implementation

Output Format

For Conceptual Analysis

CONCEPT SUMMARY:
[Brief restatement of the trading idea]

COMPONENTS NEEDED:
1. [Component 1]
2. [Component 2]
...

IMPLEMENTATION STEPS:
1. [Step 1]
2. [Step 2]
...

POTENTIAL CHALLENGES:
- [Challenge 1]
- [Challenge 2]

REQUIRED RESOURCES:
- [Template or utility to use]

For Video Analysis

The video analyzer outputs a formatted summary including:

  • Video source information
  • Detected script type (indicator/strategy)
  • Complexity score (1-10)
  • Main indicators and patterns found
  • Entry/exit conditions extracted
  • Suggested features
  • Implementation notes

Key Considerations

  • Pine Script v6 syntax and capabilities
  • TradingView's 500 bar lookback limit
  • Maximum 500 plot outputs
  • Security() function limitations
  • Repainting prevention
  • Real-time vs historical calculation differences
  • Alert system constraints

Example: Conceptual Breakdown

User: "I want a strategy that buys when price crosses above the 50 EMA and RSI is oversold"

Response:

CONCEPT SUMMARY:
Long entry strategy using EMA crossover with RSI filter

COMPONENTS NEEDED:
1. 50-period EMA calculation
2. RSI calculation with oversold threshold
3. Price crossover detection
4. Entry condition logic
5. Strategy entry commands

IMPLEMENTATION STEPS:
1. Define input parameters (EMA length, RSI length, RSI oversold level)
2. Calculate 50 EMA using ta.ema()
3. Calculate RSI using ta.rsi()
4. Detect crossover with ta.crossover()
5. Combine conditions with logical AND
6. Implement strategy.entry() for positions
7. Add visual markers for entries
8. Include backtest metrics

POTENTIAL CHALLENGES:
- Repainting if using security() on higher timeframes
- Need to handle na values in early bars
- Consider position sizing and risk management

REQUIRED RESOURCES:
- templates/strategies/trend-following/ema-cross.pine
- templates/utilities/risk-management/position-size.pine

Example: YouTube Video Flow

User: "https://youtube.com/watch?v=ABC123"

Action:

python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123"

Output: Formatted analysis summary showing detected components

Follow-up: "Does this capture the strategy correctly? Let me know if anything needs adjustment before we implement it."

Role Boundary

This skill is for planning and visualization, not code implementation.

  • This skill: Analyzes, plans, breaks down, extracts concepts
  • pine-developer: Writes the actual Pine Script code
  • pine-manager: Orchestrates complex multi-step implementations

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

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Codex

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3.72%
按下载量换算32

安全审计

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未通过

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通过

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可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

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