Verified:GitHub

research

Generate a dated markdown company research report across six axes for career-ops workflows.

Updated May 21, 2026

Search Tags:#competitive analysis #AI strategy #interview prep #company research #engineering culture #career ops #candidate fit

Ready to run

npx skills add https://github.com/wahajahmed010/openclaw-skills --skill research-wahajahmed010

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/wahajahmed010/openclaw-skills/tree/main/skills/career-ops/skills/research
Command: npx skills add https://github.com/wahajahmed010/openclaw-skills --skill research-wahajahmed010

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns scattered company information into a structured, interview-ready research report so you can confidently tailor your application and talking points.

Core Features & Use Cases

Deep company research across 6 axes: AI strategy, recent moves (last ~6 months), engineering culture, likely challenges, competitors/differentiation, and a candidate-specific angle.
Context-aware scoring: Reads an archetype context from the existing scoring system reference to align the research output with the career-ops workflow.
Workspace-driven inputs and saved outputs: Uses your CV and profile data from the career-ops data paths and saves a dated report to the expected reports directory for downstream use.

Quick Start

Run the career-ops deep research for a specific company to produce a six-axis report and candidate angle aligned to your CV and profile.

Frequently Asked Questions about research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prepare for an interview using company research?▼

Structured company research synthesizes public signals into a report covering AI strategy, engineering culture, and recent moves to prepare interview talking points. It aligns your application narrative with the target company's current challenges and competitive landscape.

What is the best way to analyze a company's engineering culture and AI strategy?▼

Analyzing engineering culture and AI strategy requires building a deep dive that evaluates recent company moves and technical differentiators. This approach extracts structured insights tailored to your specific candidate profile and career-ops workflow.

Can I use my CV and profile data to generate a company research report?▼

Yes, company research reports can use your CV and profile data from career-ops data paths. The system reads this context to generate a candidate-specific angle, ensuring the final dated markdown report aligns with your specific background.

Does interview preparation research include competitive analysis?▼

Yes, interview preparation research includes competitive analysis by mapping target company competitors and market differentiation. This contextualizes the employer's likely challenges and strategic positioning within the broader industry landscape.

How do I save company research outputs for downstream career-ops workflows?▼

You save company research outputs by writing a dated markdown report directly to the career-ops reports directory. This ensures the structured analysis of AI strategy and candidate fit remains accessible for downstream application tracking.