research

name	research
description	Deep company research across 6 axes: AI strategy, recent moves, engineering culture, likely challenges, competitors, and candidate angle. Triggers on deep research, company research, research company, deep dive.

Research — Deep Company Research

Read ~/.openclaw/workspace/skills/career-ops/references/scoring-system.md for archetype context.

Data Paths

• CV: ~/.openclaw/workspace/career-ops-data/cv.md
• Profile: ~/.openclaw/workspace/career-ops-data/config/profile.yml

6 Research Axes

1. AI Strategy

• What products/features use AI/ML?
• What is their AI stack? (models, infrastructure, tools)
• Do they have an engineering blog? What do they publish?
• What papers or talks have they presented on AI?

2. Recent Moves (last 6 months)

• Relevant hires in AI/ML/product?
• Acquisitions or partnerships?
• Product launches or pivots?
• Funding rounds or leadership changes?

3. Engineering Culture

• How do they ship? (deployment cadence, CI/CD)
• Monorepo or multirepo?
• What languages/frameworks do they use?
• Remote-first or office-first?
• Glassdoor/Blind reviews about engineering culture?

4. Likely Challenges

• What scaling problems do they have?
• Reliability, cost, latency challenges?
• Are they migrating anything?
• What pain points do people mention in reviews?

5. Competitors and Differentiation

• Who are their main competitors?
• What is their moat/differentiator?
• How are they positioned vs competitors?

6. Candidate Angle

Given the user's profile (from cv.md and profile.yml):

• What unique value do they bring to this team?
• Which of their projects are most relevant?
• What story should they tell in the interview?

Output

Save research report to ~/.openclaw/workspace/career-ops-data/reports/{company-slug}-research-{YYYY-MM-DD}.md