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Agent Skill · 效率

sector-rotation-analyst(行业轮动分析师)

sector-rotation-analyst 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

sector-rotation-analyst 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 18,249。

总安装 2,391周安装 116GitHub Stars 公开资料未说明下载 947核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

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:sector-rotation-analyst(行业轮动分析师)
来源仓库:https://github.com/finskills/sector-rotation-analyst
安装命令:
openclaw skills install sector-rotation-analyst
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install sector-rotation-analyst

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

使用 Finskills API 中的相对强度、势头和宏观制度背景,确定所有 11 个 GICS 行业的行业轮动机会。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install sector-rotation-analyst;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

sector-rotation-analyst 怎么安装?

在终端执行 openclaw skills install sector-rotation-analyst。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sector-rotation-analyst 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

sector-rotation-analyst 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

sector-rotation-analyst 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

sector-rotation-analyst 用的人多吗?

公开数据是累计安装 2,391 次,近一周安装 116 次,下载 947 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

sector-rotation-analyst 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
sector-rotation-analyst

行业轮动分析师 · 本页

2,391—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Sector Rotation Analyst
version
1.0.2
description
Identify sector rotation opportunities across all 11 GICS sectors using relative strength, momentum, and macro regime context from the Finskills API.
author
finskills
metadata
openclaw
requires
env
primaryEnv
FINSKILLS_API_KEY
homepage
https://github.com/finskills/sector-rotation-analyst

Sector Rotation Analyst

Identify which of the 11 GICS sectors are leading or lagging the market using live sector performance data, ETF holdings, and index constituent analysis from the Finskills API. Generates a sector rotation map with actionable over/underweight recommendations aligned with the current macro regime.


Setup

API Key required — Register at https://finskills.net to get your free key. Header: X-API-Key: <your_api_key>

Get your API key: Register at https://finskills.net — free tier available, Pro plan unlocks real-time quotes, history, and financials.

When to Activate This Skill

Activate when the user:

  • Asks which sectors are leading or lagging the market
  • Wants top stock picks within a specific sector
  • Asks about sector rotation strategy based on the economic cycle
  • Wants to understand which ETFs offer sector exposure
  • Asks "where is smart money flowing?" or "which sectors are hot right now?"

Data Retrieval — Finskills API Calls

1. Sector Performance Data

GET https://finskills.net/v1/market/sectors

Extract: All 11 GICS sectors with performance across timeframes: 1D, 1W, 1M, 3M, YTD, 1Y

2. ETF Holdings (for sector leaders)

For each sector's representative ETF (XLK, XLF, XLV, etc.):

GET https://finskills.net/v1/free/etf/holdings/{SECTOR_ETF}

Extract: top 10 holdings (ticker, weight, company name)

3. S&P 500 Index Constituents (for sector weights)

GET https://finskills.net/v1/free/index/SP500/constituents

Extract: all constituents with sector classification — compute actual S&P 500 sector weights

4. Market Summary (Benchmark Context)

GET https://finskills.net/v1/market/summary

Extract: S&P 500, Nasdaq, Russell 2000 performance for relative comparison


Sector ETF Reference Map

SectorETFDescription
TechnologyXLKSoftware, hardware, semiconductors
HealthcareXLVPharma, biotech, medical devices
FinancialsXLFBanks, insurance, asset managers
Consumer DiscretionaryXLYRetail, autos, restaurants
IndustrialsXLIDefense, aerospace, construction
Communication ServicesXLCMedia, telecom, internet
Consumer StaplesXLPFood, beverage, household products
EnergyXLEOil & gas, refiners
Real EstateXLREREITs
MaterialsXLBMining, chemicals, paper
UtilitiesXLUPower, water, gas utilities

Analysis Workflow

Step 1 — Sector Performance Snapshot

Create a leaderboard for each performance period: 1D, 1W, 1M, 3M, YTD:

Rank sectors from best to worst performer for each timeframe.

Flag divergences:

  • Sector outperforming YTD but recently lagging 1M: momentum fade, potential reversal
  • Sector lagging YTD but recently leading 1M: early rotation, potential breakout

Relative strength vs. S&P 500 for each sector:

Sector Relative Return = Sector Return − S&P 500 Return (same period)
  • Positive = outperforming (overweight candidate)
  • Negative = underperforming (underweight candidate)

Step 2 — Sector Rotation Cycle Mapping

Map current sector performance to the classic economic cycle:

Economic Cycle → Sector Leadership Pattern:

Early Recovery (recession ending):
  Leaders: Consumer Discretionary, Financials, Industrials
  Laggards: Utilities, Consumer Staples, Healthcare

Middle Expansion (goldilocks):
  Leaders: Technology, Industrials, Basic Materials
  Laggards: Utilities, Consumer Staples

Late Expansion (overheating):
  Leaders: Energy, Materials, Healthcare
  Laggards: Financials, Consumer Discretionary

Contraction (recession):
  Leaders: Consumer Staples, Utilities, Healthcare
  Laggards: Energy, Financials, Consumer Discretionary

Cross reference actual sector performance to infer the current cycle phase and whether the market is rotating toward or away from the expected pattern.

Step 3 — Top Stock Leaders Within Sectors

For the top 2–3 leading sectors, extract top ETF holdings:

  • List top 5 companies by weight in the sector ETF
  • Note weighting (stocks with > 10% weight dominate ETF returns)
  • Flag the sector ETF's largest contributors to recent performance

Step 4 — Sector Concentration in S&P 500

From the index constituents data:

  • Show current S&P 500 sector weights
  • Flag if any sector is > 30% weight (systemic concentration risk for index investors)
  • Note sector weight trend (growing vs. shrinking weight)

Step 5 — Recommendations

Provide:

  • Overweight (OW): 2–3 sectors with strongest momentum + macro tailwinds
  • Neutral (N): sectors with mixed signals or in transition
  • Underweight (UW): sectors with weakening momentum + macro headwinds

Output Format

╔══════════════════════════════════════════════════════╗
║    SECTOR ROTATION REPORT  —  {DATE}                ║
╚══════════════════════════════════════════════════════╝

📊 SECTOR PERFORMANCE LEADERBOARD
  Sector               ETF    1D      1W      1M      3M      YTD
  ─────────────────────────────────────────────────────────────────
  Technology          XLK    +1.8%   +3.2%   +8.1%   +15.2%  +22.4%
  Communication Svcs  XLC    +1.2%   +2.1%   +5.3%   +11.0%  +18.1%
  Consumer Disc.      XLY    +0.9%   +1.0%   +2.2%   +5.1%   +12.3%
  Industrials         XLI    +0.4%   +0.3%   +1.1%   +3.2%    +8.4%
  Financials          XLF    -0.1%   -0.5%   +0.8%   +2.1%    +6.2%
  Healthcare          XLV    -0.3%   +0.1%   -0.5%   +1.0%    +4.1%
  Materials           XLB    -0.5%   -1.2%   -1.0%   +0.2%    +2.1%
  Energy              XLE    -0.8%   -2.1%   -4.2%   -3.0%    -2.4%
  Real Estate         XLRE   -1.0%   -1.5%   -2.3%   -1.2%    -3.0%
  Consumer Staples    XLP    -1.1%   -1.0%   -1.8%   +0.5%    +2.0%
  Utilities           XLU    -1.4%   -2.0%   -3.1%   -2.5%    -1.5%
  ─────────────────────────────────────────────────────────────────
  S&P 500 (SPY)              +0.5%   +0.8%   +2.3%   +5.4%   +10.2%

🔄 ROTATION CYCLE SIGNAL: {Cycle Phase — e.g., "Mid-to-Late Expansion"}
   Market aligning with: {expected leaders for this cycle} ✅
   Anomalies: {any sectors not behaving as expected}

🏆 TOP SECTORS — EXPANDED VIEW

  #1 Technology (XLK) — YTD +22.4% vs SPY +10.2% (+12.2pp)
  Top Holdings: AAPL {weight}%, MSFT {weight}%, NVDA {weight}%, ...
  Catalyst: {AI capex cycle / Strong pricing power / etc.}

  #2 Communication Services (XLC) — YTD +18.1% vs SPY +10.2% (+7.9pp)
  Top Holdings: GOOG {weight}%, META {weight}%, ...
  Catalyst: {Digital advertising recovery / streaming growth}

  #3 {Next sector...}

📉 WEAKEST SECTORS
  Utilities (XLU) — YTD -1.5% | Headwind: Rising rates hurt dividend valuations
  Energy (XLE) — YTD -2.4% | Headwind: Oil supply increase, demand concerns

🏛️ S&P 500 SECTOR WEIGHTS
  Technology: {%} | Healthcare: {%} | Financials: {%} | ...
  [⚠️ Flag if Tech > 30%]

🎯 TACTICAL RECOMMENDATIONS
  OVERWEIGHT:  {Sector 1}, {Sector 2}  —  {rationale}
  NEUTRAL:     {Sector 3}, {Sector 4}
  UNDERWEIGHT: {Sector 5}, {Sector 6}  —  {rationale}

Limitations

  • Sector ETF performance may diverge from underlying sector due to size/weight concentration.
  • Sector rotation is a medium-term (1–6 month) framework; it has low signal at daily resolution.
  • ETF holdings data may lag actual portfolio composition by 1–3 months.

平台分布

OpenClaw

84.48%
按下载量换算800

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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