⚖️ Research

Competitor Research

Run structured competitive analysis using web searches, GitHub analysis, and parallel subagent workflows. From quick scan to full deep-dive.

Saves 3–6 hours

What It Does

Delivers actionable competitive intelligence: who they are, what they ship, how they position, and where you win or concede. Choose a quick scan (~5 minutes) for directional reads before a meeting, or a full deep-dive (15+ minutes) when you need evidence-backed comparisons. Parallel subagents fan out across the web, GitHub, and product surfaces so you get breadth without serial bottlenecking.

Example Prompts

Research competitor Acme Corp
Compare our workflow automation to what Acme and Beta offer
Do a full competitive deep-dive on Acme, focusing on AI capabilities

How It Works

  1. Clarifies target competitors and the focus area (e.g., pricing, AI, enterprise readiness).
  2. Runs parallel research: public web (announcements, reviews, pricing pages), GitHub (repos, releases, issues), and targeted feature analysis.
  3. Synthesizes findings into a structured profile: positioning, strengths, weaknesses, and a feature-level comparison matrix.
  4. Persists the profile where you can reuse it and surfaces executive-ready takeaways for decks or docs.

What You Get

A repeatable competitor dossier, usually including:

  • Overview — Company snapshot, ICP, and motion.
  • Recent Activity — Launches, funding, and narrative shifts.
  • Strengths — What they do well and why it resonates.
  • Weaknesses — Gaps, risks, and customer complaints in the wild.
  • Feature Comparison — Side-by-side table against your criteria.
  • Open-Source Signals — Repo health, velocity, and community.
  • Key Takeaways — What to say in sales, roadmap, and exec reviews.

Try It Now

Clone the repo and start using this skill in under 60 seconds.