Skip to content
TrustedSkillsbeta
Back to all skills

Technical Analysis

Checked
omer-metin·vlatest·data·Apache-2.0

Analyzes financial charts using technical indicators to identify potential trading opportunities and trends.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add omer-metin/skills-for-antigravity --skill technical-analysis -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

omer-metin

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned omer-metin/skills-for-antigravity at e8dcf4e873.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
e8dcf4e873
Manifest
skills/technical-analysis/SKILL.md
Scanned
4 files, 1,276 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to perform technical analysis on financial data. It can identify trends, patterns, and potential investment opportunities using various analytical techniques. The agent is capable of generating buy/sell signals based on these analyses and providing justifications for its recommendations.

When to use it

  • Investment Research: Analyze a specific stock or asset class to determine its potential performance.
  • Market Trend Identification: Identify emerging trends in the financial markets, such as bullish or bearish sentiment.
  • Portfolio Optimization: Suggest adjustments to an existing investment portfolio based on technical indicators.
  • Generating Trading Signals: Receive automated buy/sell signals for specific assets.

Key capabilities

  • Trend identification
  • Pattern recognition
  • Buy/sell signal generation
  • Justification of recommendations

Example prompts

  • "Perform a technical analysis of Tesla (TSLA) stock."
  • "What are the current trends in the cryptocurrency market?"
  • "Based on technical indicators, should I buy or sell Apple (AAPL)?"

Tips & gotchas

The accuracy of the analysis depends heavily on the quality and availability of historical financial data. Results should be considered alongside other forms of investment research and not solely relied upon for making trading decisions.