Agent skill

Technical Indicators

Calculate technical analysis indicators for stock market analysis

MITAuto-check passedBusiness, Finance & HR

Install Technical Indicators

skills CLI

$ npx skills add 24mlight/StockClaw --skill technical-indicators -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install 24mlight/StockClaw technical-indicators --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/24mlight/StockClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/technical-indicators .claude/skills/technical-indicators && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "technical-indicators" agent skill from https://github.com/24mlight/StockClaw/tree/main/skills/technical-indicators into .claude/skills/technical-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-indicators", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/24mlight/StockClaw/tree/main/skills/technical-indicators

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add 24mlight/StockClaw --skill technical-indicators -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install 24mlight/StockClaw technical-indicators --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/24mlight/StockClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/technical-indicators .agents/skills/technical-indicators && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "technical-indicators" agent skill from https://github.com/24mlight/StockClaw/tree/main/skills/technical-indicators into .agents/skills/technical-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-indicators", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 24mlight/StockClaw --skill technical-indicators -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install 24mlight/StockClaw technical-indicators --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/24mlight/StockClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/technical-indicators .cursor/skills/technical-indicators && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "technical-indicators" agent skill from https://github.com/24mlight/StockClaw/tree/main/skills/technical-indicators into .cursor/skills/technical-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-indicators", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/24mlight/StockClaw.git --path skills/technical-indicators

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add 24mlight/StockClaw --skill technical-indicators -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install 24mlight/StockClaw technical-indicators --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/24mlight/StockClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/technical-indicators .gemini/skills/technical-indicators && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "technical-indicators" agent skill from https://github.com/24mlight/StockClaw/tree/main/skills/technical-indicators into .gemini/skills/technical-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-indicators", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install 24mlight/StockClaw technical-indicators

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add 24mlight/StockClaw --skill technical-indicators -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/24mlight/StockClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/technical-indicators .github/skills/technical-indicators && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "technical-indicators" agent skill from https://github.com/24mlight/StockClaw/tree/main/skills/technical-indicators into .github/skills/technical-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-indicators", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 24mlight/StockClaw --skill technical-indicators -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install 24mlight/StockClaw technical-indicators --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/24mlight/StockClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/technical-indicators .opencode/skills/technical-indicators && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "technical-indicators" agent skill from https://github.com/24mlight/StockClaw/tree/main/skills/technical-indicators into .opencode/skills/technical-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-indicators", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: technical-indicators
GitHub stars: 101
Token cost: ~592 tokens
SKILL.md length: 60 words
Files: 1
Skills in repo: 3
Repo updated: Mar 15, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Calculate technical analysis indicators for stock market analysis

Works in 9 steps: RSI (Relative Strength Index) → SMA (Simple Moving Average) → EMA (Exponential Moving Average) → …
Tasks that involve Stock and market analysis
SKILL.md covers Quick Start, Key Indicators, Complete Example and Resources
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Technical Indicators is an agent skill from 24mlight/StockClaw. Calculate technical analysis indicators for stock market analysis

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Stock and market analysis. The licence is MIT.

When your agent uses it

Tasks that involve Stock and market analysis

Example prompts

“/technical-indicators”

Requirements

Python 3

Workflow steps

9 steps, taken from the step headings in SKILL.md.

RSI (Relative Strength Index)
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
MACD
Bollinger Bands
ADX (Trend Strength)
ATR (Volatility)
Stochastic Oscillator
OBV (On-Balance Volume)

What it can do on your machine

Read from SKILL.md and the folder at commit 7872331. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- pandas-ta.readthedocs.io
- github.com
- ta-lib.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Technical Indicators loads about 592 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 60 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~22
When it runs · the whole SKILL.md, loaded when a task matches: ~592

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from 24mlight/StockClaw at commit 7872331, republished under its MIT licence (© 24mlight). 60 words, ~592 tokens.

Download SKILL.mdSave it as .claude/skills/technical-indicators/SKILL.md (or your agent's skills folder).

name: technical-indicators
description: Calculate technical analysis indicators for stock market analysis

Technical Indicators Calculator

Quick guide for calculating technical indicators using Python and pandas-ta.

Quick Start

python

import yfinance as yf
import pandas_ta as ta

df = yf.download('AAPL', period='1y')
df['RSI'] = ta.rsi(df['Close'], length=14)
print(df[['Close', 'RSI']].tail())

Key Indicators

1. RSI (Relative Strength Index)

python

df['RSI'] = ta.rsi(df['Close'], length=14)
# RSI > 70: overbought | RSI < 30: oversold

2. SMA (Simple Moving Average)

python

df['SMA_50'] = ta.sma(df['Close'], length=50)
# Golden Cross: SMA_50 > SMA_200
# Death Cross: SMA_50 < SMA_200

3. EMA (Exponential Moving Average)

python

df['EMA_12'] = ta.ema(df['Close'], length=12)

4. MACD

python

macd = ta.macd(df['Close'])
# MACD > Signal: bullish | MACD < Signal: bearish

5. Bollinger Bands

python

bbands = ta.bbands(df['Close'], length=20)
# Price > Upper: overbought | Price < Lower: oversold

6. ADX (Trend Strength)

python

adx = ta.adx(df['High'], df['Low'], df['Close'], length=14)
# ADX > 25: strong trend | ADX < 20: weak trend

7. ATR (Volatility)

python

df['ATR'] = ta.atr(df['High'], df['Low'], df['Close'], length=14)

8. Stochastic Oscillator

python

stoch = ta.stoch(df['High'], df['Low'], df['Close'], length=14)

9. OBV (On-Balance Volume)

python

df['OBV'] = ta.obv(df['Close'], df['Volume'])

Complete Example

python

import yfinance as yf
import pandas as pd
import pandas_ta as ta

# Fetch data
ticker = 'AAPL'
df = yf.download(ticker, period='2y')

# Calculate multiple indicators
df['RSI'] = ta.rsi(df['Close'], length=14)
df['SMA_20'] = ta.sma(df['Close'], length=20)
df['SMA_50'] = ta.sma(df['Close'], length=50)
df['EMA_12'] = ta.ema(df['Close'], length=12)

# MACD
macd = ta.macd(df['Close'])
df = pd.concat([df, macd], axis=1)

# Bollinger Bands
bbands = ta.bbands(df['Close'], length=20)
df = pd.concat([df, bbands], axis=1)

# ATR
df['ATR'] = ta.atr(df['High'], df['Low'], df['Close'], length=14)

print(df[['Close', 'RSI', 'SMA_20', 'SMA_50', 'ATR']].tail())

Resources

pandas-ta: https://pandas-ta.readthedocs.io/
yfinance: https://github.com/ranaroussi/yfinance
TA-Lib: https://ta-lib.org/

Files

Just SKILL.md in skills/technical-indicators of 24mlight/StockClaw.

Open the folder on GitHubat commit 7872331

Compare with similar skills

Technical Indicators next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Technical Indicators compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Technical Indicators this skill24mlight/StockClaw	101	—	~592	Automated safety check: Pass	MIT	6 mo ago
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Tushare Datazillionare/zillionare	318	2 repos	~2.3k	Automated safety check: Pass	None	today
Tradingview MCPatilaahmettaner/tradingview-mcp	4.9k	—	~1.3k	Automated safety check: Pass	MIT	yesterday
Digital Oraclekomako-workshop/digital-oracle	867	—	~5.9k	Automated safety check: Pass	MIT	2 mo ago
Longbridge Researchhelsome/folio	269	3 repos	~2.1k	Automated safety check: Pass	MIT	4 days ago

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Questions about Technical Indicators

What does Technical Indicators do?

Calculate technical analysis indicators for stock market analysis. Technical Indicators is an agent skill from 24mlight/StockClaw.

When should I use Technical Indicators?

Technical Indicators fits situations like: tasks that involve Stock and market analysis.

How do I install Technical Indicators in Claude Code?

Run `npx skills add 24mlight/StockClaw --skill technical-indicators -a claude-code`. Or copy the skill folder (skills/technical-indicators in 24mlight/StockClaw) into .claude/skills/technical-indicators in your project. Claude Code loads it when a task matches its description.

How do I install Technical Indicators in Codex?

Run `npx skills add 24mlight/StockClaw --skill technical-indicators -a codex`. Or copy the skill folder (skills/technical-indicators in 24mlight/StockClaw) into .agents/skills/technical-indicators in your project. Codex loads it when a task matches its description.

Can I use Technical Indicators in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 24mlight/StockClaw --skill technical-indicators -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technical-indicators, .gemini/skills/technical-indicators, .github/skills/technical-indicators and .opencode/skills/technical-indicators in your project.

What does Technical Indicators need to run?

SKILL.md names no scripts, command-line tools or credentials: Technical Indicators is instructions for the agent only. Our summary lists: Python 3.

Does Technical Indicators access the network?

SKILL.md names 3 domains. As links in the text: pandas-ta.readthedocs.io, github.com and ta-lib.org. This is read from the text; nothing was executed.

Is Technical Indicators safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Technical Indicators use?

Technical Indicators is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Technical Indicators use?

About 592 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Technical Indicators?

Skills that share tags, products or a category with Technical Indicators: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 318 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 4.9k stars) and Digital Oracle (komako-workshop/digital-oracle, 867 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Technical Indicators?

24mlight (a GitHub user) maintains it in 24mlight/StockClaw, which has 101 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on March 15, 2026.

Source: 24mlight/StockClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Technical Indicators

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Technical Indicators Calculator

Quick Start

Key Indicators

1. RSI (Relative Strength Index)

2. SMA (Simple Moving Average)

3. EMA (Exponential Moving Average)

4. MACD

5. Bollinger Bands

6. ADX (Trend Strength)

7. ATR (Volatility)

8. Stochastic Oscillator

9. OBV (On-Balance Volume)

Complete Example

Resources

Files

Compare with similar skills

Similar skills

More from 24mlight/StockClaw

Related

Questions about Technical Indicators