Competitor Analysis
CheckedAnalyzes competitor websites & marketing materials to identify strategies, strengths, and weaknesses for informed decision-making.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aj-geddes/useful-ai-prompts --skill competitor-analysis -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aj-geddes
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.
Automated safety checks
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 6 files, 286 lines
About this skill
The competitor-analysis skill enables AI agents to systematically gather and synthesize market intelligence about rival businesses. It transforms raw web data into structured insights regarding pricing, product features, customer sentiment, and strategic positioning without requiring manual research.
When to use it
- Launching a new product or service to identify direct rivals and their unique value propositions.
- Conducting pre-entry market research to understand competitor pricing strategies and feature gaps.
- Monitoring brand reputation by analyzing public sentiment toward competing companies in real-time.
- Updating business strategy based on recent shifts in competitor offerings or marketing campaigns.
Key capabilities
- Automated discovery of relevant competitors within a specific industry niche.
- Extraction and comparison of key metrics such as pricing models, feature sets, and target audiences.
- Synthesis of unstructured web data into actionable strategic reports.
- Identification of market opportunities by highlighting areas where competitors are under-serving customers.
Example prompts
- "Analyze the top three direct competitors for a SaaS project management tool in the enterprise sector."
- "Compare the pricing structures and feature limitations of leading electric vehicle manufacturers in Europe."
- "Generate a report on how major coffee chains have adjusted their loyalty programs over the last six months."
Tips & gotchas
Ensure you provide clear context about the specific industry or niche to help the agent identify the most relevant competitors. While this skill excels at aggregating public data, it cannot access private internal documents or confidential business strategies not visible online.