company-intel

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Research a company, industry, or competitor set using web search and seven analytical lenses. Use when you need structured intel that feeds downstream PM skills.

AI & Automation 6,923 stars 825 forks Updated 1 weeks ago NOASSERTION

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Skill Content

## Purpose Research engine that builds deep, structured understanding of companies, industries, and competitor sets. Produces a stable output format that you can hand off to other skills and agents to generate battlecards, SWOT analyses, positioning statements, PESTEL assessments, market sizing, and workshop content. This is not a generic encyclopedia lookup. Every section pushes toward commercial understanding, product implications, and actionable intelligence. The output is a research primitive — structured data other skills consume — not a final deliverable. ## Input **Works best with:** The research target: a company, an industry, or a set of competitors. **Also useful:** The downstream use (battlecard, SWOT, positioning, market sizing) so the research emphasizes the right lenses, plus any constraints on depth or recency. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. **Arriving empty-handed? That works too.** The workflow opens by asking for the target and what the intel will feed. **Example invocation:** `Research Figma and its top 3 competitors — output feeds a positioning workshop next week.` ## Key Concepts ### Four Entry Points The skill auto-detects entry point from the user's input. If ambiguous, ask one clarifying question: "Is this about a specific company, an industry, or a set of compe...

Details

Author
deanpeters
Repository
deanpeters/Product-Manager-Skills
Created
7 months ago
Last Updated
1 weeks ago
Language
Shell
License
NOASSERTION

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