browser-skills

Scrape App Store (iOS) and Google Play reviews for any app and extract pain points, praise, feature requests, churn signals, and competitor mentions. Returns a rating distribution, themed quote clusters, and a ranked feature request list grounded in real user language.

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".

Auto-register or RSVP to events on Lu.ma, Eventbrite, Meetup, Hopin, and custom event sites — given an event URL and an attendee profile, the skill drives a real cloud browser to fill the registration form, answer screener questions from a saved profile, and stop before final submit for human confirmation. Tracks RSVPs to a local pipeline. Useful for hackathons, meetups, conferences, and product launches.

Monitor GitHub repositories — stars, forks, issues, PRs, contributors, releases, and commit cadence — and produce a project-health snapshot with trend signals (active / declining / stale). Useful for OSS competitive intel, dependency due-diligence, and researching a company's engineering output.

Scrape Glassdoor for company reviews, salary data, interview experiences, and culture signals. Returns ratings breakdown, top pro / con quotes, salary ranges by role and level, and an interview-process summary — useful for job research, sales personalization, and competitive talent analysis.

Surface top Hacker News threads on a topic and extract the high-signal comments. Finds Show HN, Ask HN, and news discussions, sorts by score, pulls top comments, and clusters them by sentiment (positive / skeptical / critical) with linked alternatives mentioned in the thread.

Auto-fill job applications across Greenhouse, Lever, Ashby, Workday, and custom company forms — given a candidate profile JSON (name, contact, resume URL, work history, links) and a job posting URL, the skill drives a real cloud browser to fill every visible field, attach the resume, and pause for human confirmation before final submit. Companion to `job-tracker` (which finds the roles).

Scrape job listings from company careers pages, ATS APIs (Greenhouse, Lever, Ashby), and LinkedIn Jobs; normalize roles into a structured pipeline with salary ranges, required skills, and hiring signals. Use to monitor a company's hiring, track personal applications, or surface what teams competitors are growing.

Research people and companies on LinkedIn — role history, skills, recent activity, mutual connections (when logged in), and company signals like headcount growth and recent hires. Useful for pre-call prep, finding decision-makers, mapping an org chart, and personalizing outreach.

Collect and cluster news coverage on a topic across multiple outlets. Identifies the dominant narrative, dissenting takes, missing angles, and a timeline of how the story evolved. Returns articles grouped by angle with key quotes and a sentiment / outlet matrix.

Monitor product or SaaS plan prices across websites and detect changes, drops, restocks, and pricing-page edits. Supports single-URL snapshots, multi-site comparisons, and periodic checks with a price-history file for change detection.

Track Product Hunt launches — new products, upvote trends, maker activity, and user feedback in comments. Returns ranked launches by category with sentiment-tagged top comments, maker responses, and patterns across recent launches (recurring praise, recurring criticism).

Deep-dive subreddits to extract product feedback, pain points, and PMF signals on any topic or product. Searches relevant communities, scrapes posts and comment threads, clusters findings into themes (pricing, performance, missing features, competitor gaps, love signals), and ships an HTML report + CSV plus a concise opportunity brief grounded in real user quotes (with URLs).

Research VCs and angel investors — portfolio companies, investment thesis, check sizes, stage focus, and partner backgrounds. Returns a targeted investor list with fit assessment, warm-intro paths when discoverable, and the best partner to contact for each firm.