research
GitHub用于求职前调研目标公司,生成包含概况、近期新闻、文化评估、关键联系人及面试策略的情报简报。支持自动保存并建议后续跟进动作。
Trigger Scenarios
Install
npx skills add andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2- --skill research -g -y
SKILL.md
Frontmatter
{
"name": "research",
"description": "Research a company before applying or interviewing. Get an intelligence brief with culture, financials, recent news, team structure, key contacts, and smart interview questions. Use when someone says 'research this company', 'tell me about', 'what do you know about', or 'prep me for my interview at'.",
"allowed-tools": [
"Read",
"Write",
"WebSearch",
"WebFetch",
"Glob"
],
"argument-hint": "<company name>",
"user-invocable": true
}
Company Research
Build an intelligence brief on a target company.
Step 1: Gather Data
Use WebSearch to find:
- Company basics: What they do, size, founded, HQ, funding/revenue
- Recent news (last 6 months): Product launches, layoffs, acquisitions, leadership changes, funding rounds
- Culture signals: Glassdoor rating + recurring themes, any "best places to work" lists or notable controversies
- Team/department: Who leads the department you'd join? Likely hiring manager? Team size?
- Tech/tools/methodology: What does this team use? (Check job postings, tech blog, team member LinkedIn profiles via web search)
If WebSearch is unavailable:
"I can share what I know about {company}, but for the latest info (recent news, Glassdoor reviews, team changes), enable web search in your settings. Here's what I can tell you from general knowledge:"
Then provide what you know, clearly labeled as potentially outdated.
Step 2: Find Contacts
Search for likely hiring contacts:
- Hiring manager (head of the relevant department)
- Recruiter (search "{company} recruiter {department}")
- Team members (potential peers for informational outreach)
For each contact found: Name, Title, and where you found them.
Note: Do NOT scrape LinkedIn profiles directly. Use web search results and public company pages only.
Step 3: Check for Existing Evaluation
Read data/evaluations/ for any evaluation at this company. If found,
reference it to add context to the brief.
Step 4: Output
## Company Brief: {Company Name}
### Overview
| Field | Detail |
|---|---|
| **Industry** | {industry} |
| **Size** | {employee count range} |
| **Founded** | {year} |
| **HQ** | {location} |
| **Revenue/Funding** | {if available} |
| **Website** | {URL} |
### Recent News (Last 6 Months)
- {headline} ({source}, {date})
- ...
(If no news found: "No major recent news found.")
### Culture Snapshot
**Glassdoor:** {rating}/5 ({review count} reviews)
**Positive themes:** {what employees like}
**Negative themes:** {common complaints}
**Work style:** {remote/hybrid/in-office, hours culture}
### Key Contacts
| Name | Title | Source |
|---|---|---|
| {name} | {title} | {where found} |
### Interview Intelligence
- **Company values/mission:** {what they emphasize}
- **Current priorities:** {what they're working on now}
- **Smart questions to ask:**
1. {question based on recent news or strategy}
2. {question about team/culture}
3. {question about role's impact}
- **Topics to handle carefully:** {any sensitive items}
Step 5: Save
Write to data/research/{company-slug}.md.
"Research saved. You can reference it anytime.
Want me to:
- Draft outreach to one of these contacts?
- Evaluate a role at this company? Paste the job posting.
- Prepare interview stories specific to this company?"
Version History
- ae447d7 Current 2026-07-11 16:55


