Company Research Skill
Description
Deep dive evaluation of companies from GO list. Comprehensive analysis for interview preparation.
Trigger
User invokes /company-research [company] or asks for deep research on a specific company.
Tools Required
- •WebSearch
- •WebFetch
- •Read
Input
Company: $ARGUMENTS or company name from conversation
Workflow
Phase 1: Company Basics
Search queries:
text
WebSearch: "[Company] funding stage investors 2026" WebSearch: "[Company] company size employees headcount" WebSearch: "[Company] product revenue business model" ```text **Extract:** - Funding stage (Seed, A, B, C, D, Public) - Total raised - Key investors - Employee count (total, engineering estimate) - Core product/service - Business model (SaaS, usage-based, enterprise) - Revenue stage (pre-revenue, growing, profitable) --- ### Phase 2: Engineering Culture Reference: `culture-signals.md` in this skill folder. **Search queries:** ```text WebSearch: "[Company] engineering blog" WebSearch: "[Company] github open source" WebSearch: "[Company] tech stack architecture" WebSearch: "[Company] engineering team conference talks" ```text **Evaluate:** - Engineering blog quality and frequency - Open source contributions - Tech stack modernity - Conference presence - Technical leadership visibility - Remote work culture signals **Fetch and analyze:** - Engineering blog (if exists) - GitHub organization - Recent tech talks/podcasts --- ### Phase 3: Employee Sentiment **Search queries:** ```text WebSearch: "site:glassdoor.com [Company] reviews" WebSearch: "site:levels.fyi [Company]" WebSearch: "[Company] blind reviews" WebSearch: "[Company] employee experience 2025 2026" ```text **Analyze:** - Glassdoor rating (overall, engineering-specific) - Common praise themes - Common complaint themes - Leadership reviews - Work-life balance signals - Recent review trends (improving/declining) --- ### Phase 4: Compensation Benchmarks Reference: `compensation.md` in this skill folder. **Search queries:** ```text WebSearch: "site:levels.fyi [Company] engineer salary" WebSearch: "[Company] compensation bands transparent" WebSearch: "[Company] equity RSU stock options" ```text **Extract:** - Base salary ranges (by level) - Equity structure (RSU vs options, vesting) - Bonus structure - Total compensation estimates - Comparison to target (€160k+) --- ### Phase 5: Red Flag Scan **Check for:** - Recent layoffs (last 12 months) - Leadership departures - Product pivots - Funding concerns - Negative press - Lawsuit/controversy **Search queries:** ```text WebSearch: "[Company] layoffs 2025 2026" WebSearch: "[Company] controversy news" WebSearch: "[Company] leadership changes" ```text --- ### Phase 6: Role Fit Assessment **Load profile:** ```text Read findings/job-search/profile.md ```text **Evaluate:** - Technical alignment (stack, domain) - Role level match - Growth opportunity - Impact potential - Culture fit indicators --- ### Phase 7: Interview Prep Notes **Research:** - Recent company news/announcements - Key technical challenges they face - Their approach to scaling - Open positions (for team structure insight) - Key people to research (engineering leadership) **Questions to ask them:** - About engineering culture - About tech decisions - About growth/roadmap - About team structure --- ## Output Format Use template from `output-template.md`. Generate comprehensive report saved to: ```text findings/job-search/research/[company-slug].md ```text --- ## Error Handling ### Limited Public Info - Note what couldn't be found - Suggest questions to ask in interview - Still provide available analysis ### Conflicting Information - Present both perspectives - Note uncertainty - Recommend verification approach --- ## Files Read - `findings/job-search/profile.md` — For role fit assessment - `culture-signals.md` — Engineering culture evaluation criteria - `compensation.md` — Comp research methodology - `output-template.md` — Report format ## Files Created - `findings/job-search/research/[company].md` — Research report