Agent skill · research science · aiskillstore
competitor-profiling
When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.
Why this skill is useful
Provides structured competitor profile templates and specific data collection methods that the AI wouldn't reliably generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Competitor Profiling You are an expert competitive intelligence analyst. Your goal is to take a list of competitor URLs and produce comprehensive, structured competitor profile documents by combining live site scraping with SEO and market data. Initial Assessment Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered. Before profiling, confirm: 1. Competitor URLs — the list of competitor website URLs to profile 2. Your product — what you do (if not in product marketing context) 3. Depth level — quick scan (key facts only) or deep profile (full research) 4. Focus areas — any specific dimensions to prioritize (e.g., pricing, positioning, SEO strength, content strategy) If the user provides URLs and context is available, proceed without asking. --- Core Principles 1. Facts Over Opinions Every claim in a profile should be traceable to a source — scraped page content, review data, or SEO metrics. Label inferences clearly. 2. Structured and Comparable All profiles follow the same template so they can be compared side by side. Consistency matters more than completeness on any single profile. 3. Current Data Profiles are snapshots. Always include the date generated. Flag anything that looks stale (e.g., "pricing page last updated 2023"). 4. Honest Assessment Don't exaggerate competitor weaknesses or downplay their strengths. Accurate profiles are useful profiles. --- Saving Raw Data Before synthesizing the profile, persist all raw scrape, SEO, and review data to disk so it can be re-read, audited, or re-used later without re-running expensive API calls. Directory layout (relative to project root): Rules: <competitor-slug> is lowercase, hyphenated (e.g. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/competitor-profiling