agentleFS
browserbasebrowserbase/agent-browse/skills/company-research/SKILL.md

company-research

Skill3.7k starsChanged 5 months agoNo licenceView on GitHub

Company discovery and deep research skill. Researches a company's product and ICP, discovers target companies to sell to using Browserbase Search API, deeply researches each using a Plan→Research→Synthesize pattern, and scores ICP fit — compiled into a scored research report and CSV. Supports depth modes (quick/deep/deeper) for balancing scale vs intelligence. Use when the user wants to: (1) find companies to sell to, (2) research potential customers, (3) discover companies matching an ICP, (4) build a target company list, (5) do market research on prospects. Triggers: "find companies to sell to", "company research", "find prospects", "ICP research", "target companies", "who should we sell to", "market research", "lead research", "prospect list".

  • Reads credentials
  • Installs packages

31 other projects use a version of this.

Trending

Quiet since December.thin dataabout the whole repository

Dec 2025: 1 mentionJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the browserbase/agent-browse repository that our weekly crawl found: only 3 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Most recently taken up by

Used with

Projects with it also use business-health-diagnostic, derisk-measurement-advisor and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • nandanosqlSkill

    business-health-diagnostic

    Run a comprehensive business health check across revenue, unit economics, product metrics, and market position — identifying strengths, weaknesses, and the single most important metric to fix.

    Also in 4 projects that use this

  • DIAL-StudioSkill

    derisk-measurement-advisor

    Identify what to measure, test, or track to de-risk a product or AI idea. Use when stress-testing an idea across internal (DUFV) and external (PESTEL) dimensions.

    Also in 3 projects that use this

  • DIAL-StudioSkill

    organic-growth-advisor

    Identify which organic growth path to pursue — new segments, geographies, channels, or products. Use when diagnosing where a growth constraint lives and which McKinsey growth level to act\

    Also in 3 projects that use this

  • nandanosqlSkill

    prioritization-advisor

    Guide PMs in choosing the right prioritization framework — RICE, ICE, Kano, MoSCoW, Value vs Effort, Cost of Delay — by asking adaptive questions about product stage, team context, and data availability.

    Also in 4 projects that use this

  • +8 more from nandanosql

The file

Show its rules and text

We split this skill into the rules it gives an agent

19 rules. 0 are common, 10 are distinctive, and 9 are very specific to this project.

  • 0

    Common

    Most of the 23 edited versions we read keep these.

  • 10

    Distinctive

    This author's own choices. Worth a look.

  • 9

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 23 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.