competitor-profiling

Creates source-cited competitor profiles from public information with a claim ledger.

73|4|Updated Aug 7, 2026
One-click install
npx skills add https://github.com/LOGIN-TB/claude-skills --skill competitor-profiling-login-tb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitor-profiling
Source: https://github.com/LOGIN-TB/claude-skills/tree/main/skills/competitor-profiling
Command: npx skills add https://github.com/LOGIN-TB/claude-skills --skill competitor-profiling-login-tb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Competitor research often mixes facts, vendor claims, estimates, and guesses without clear sourcing, and can easily cross legal lines around data protection, scraping, and personal data. This Skill produces evidence-based competitor profiles where every material claim is classified, sourced, and dated, while enforcing strict legal and ethical guardrails for the DACH region. ## Core Features & Use Cases - Claim Ledger: Every material statement is classified as verified first-party claim, independent evidence, third-party estimate, user report, inference, conflicting, or unknown, with source URL, retrieval date, and scope. - Three Research Modes: A quick public brief from a few high-quality pages, a focused profile on approved dimensions, or a deep dive only after explicit approval of scope, tools, and budget. - DACH Legal Guardrails: Built-in handling of GDPR/BDSG, UWG, trademark, database, and copyright considerations for Germany, Austria, and Switzerland, with Germany as a flagged default assumption. - Use Case: Ask for a profile of a competitor's pricing and positioning before a product launch. You receive a structured brief separating documented facts from estimates, with a full source list and a checklist of open questions. ## Quick Start Create an evidence-based profile of competitor example.com covering positioning, product, and pricing for the German market.

Frequently Asked Questions about competitor-profiling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an evidence-based competitor profile?

Provide the competitor's canonical URL and the dimensions you need, such as positioning, product, or pricing. The Skill fetches a small set of high-quality public pages and returns a structured brief with a claim ledger classifying every material statement by evidence type, source, and retrieval date.

What sources can be used for competitor research?

Only public or explicitly authorized sources are allowed: official product, pricing, documentation, and changelog pages, official registers, credible independent research, and clearly labeled third-party estimates. Private emails, CRM data, contracts, or login-protected content are excluded without specific lawful authorization.

Does this Skill scrape review sites or bypass access controls?

No. Bulk scraping, bypassing logins, CAPTCHAs, rate limits, or robots rules is explicitly prohibited. Review data is only collected after explicit lawful approval, with documented platform, timeframe, sample size, and bias caveats, and is never presented as representative.

How does the Skill handle GDPR and DACH legal requirements?

It defaults to Germany as a flagged assumption and applies GDPR/BDSG, UWG, trademark, database, and copyright considerations, with separate checks for Austria and Switzerland. It profiles organizations and products only, never builds dossiers on individual people, and provides no legal advice or compliance guarantee.

Can SEO traffic estimates prove a competitor's revenue or customer count?

No. Third-party metrics like traffic, backlinks, followers, or headcount are treated as estimates with named provider, definition, and retrieval date. They may only confirm or refute business claims when a direct methodological link exists, never as proxies for revenue or market share.

When are paid research tools like Firecrawl or DataForSEO used?

Paid tools, commercial databases, and paid APIs are only used after explicit approval. Before use, the Skill discloses the scope, costs, and data handling involved, and deep research additionally requires agreement on domains, page limits, storage paths, and abort conditions.