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Competitive Analysis

Official
anthropics·vlatest·other·Apache-2.0

Analyze competitors' public statements & strategies to identify opportunities and predict their future actions.

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 anthropics/financial-services --skill competitive-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

anthropics

Matched to the vendor's own GitHub organisation.

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 anthropics/financial-services at 574ed3624a.

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

Scanned
6 files, 628 lines
Copies in repo
2 — all of them scanned
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 performs competitive analysis within the financial services domain. It can identify key competitors, analyze their strengths and weaknesses, and provide insights into market positioning. The tool aims to support strategic decision-making by offering a structured view of the competitive landscape.

When to use it

  • Market Entry: Before launching a new product or service in the financial sector, understand existing players.
  • Strategic Planning: Inform business strategy and identify opportunities for differentiation.
  • Investment Decisions: Evaluate potential investments by assessing the competitive environment of target companies.
  • Performance Benchmarking: Compare your company's performance against competitors to identify areas for improvement.

Key capabilities

  • Financial services competitor identification
  • Strengths & weaknesses analysis
  • Market positioning assessment

Example prompts

  • "Analyze the competitive landscape for robo-advisors in the US."
  • "Compare and contrast the strengths of Vanguard and Fidelity."
  • "What are the key differentiators among online brokerage platforms?"

Tips & gotchas

The skill is specifically tailored to financial services; results may be less accurate or relevant outside this domain. Ensure prompts are clear and specific for optimal analysis.