Agent skill · research science · deanpeters
company-intel
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.
Why this skill is useful
Provides structured research outputs that the AI wouldn't reliably generate on its own, focusing on commercial implications and actionable intelligence.
What it needs
About 12k tokens when loaded. Last updated 2026-07-17. 6,302 stars on the source repository.
What this skill does
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 competitors?" Single Company — User names a company (e.g., "Helix Motion Systems," "Brightwater Biologics" — or any real company). Produce the full 11-section output for that company. Industry/Sector — User names an industry, sector, or niche (e.g., "clinical data management," "embedded finance," "upstream oil and gas"). Establish broad industry context, narrow into the segment, and connect findings to PM implications. Use the same 11-section structure adapted for sector-level analysis. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills deanpeters/company-intel