astoryh/nanobot/skills/linkedin-company-search
nanobot/skills/linkedin-company-search/SKILL.md
```skill --- name: linkedin-company-search description: Searches LinkedIn for companies matching a given query. metadata: nanobot: emoji: 🏢 category: research tags: [linkedin, company, search, business] --- ## LinkedIn Company Search This skill allows the nanobot to search LinkedIn for companies based on a provided search query. **Instructions:** 1. **Receive Query:** The skill will receive a text query representing the company name or keywords to search for. 2. **LinkedIn S
$ install --global
skillsauthnpx skillsauth add astoryh/pasb nanobot/skills/linkedin-company-searchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 3, 2026, 9:38 PM8.7s1 file scanned
SKILL.md
---
name: linkedin-company-search
description: Searches LinkedIn for companies matching a given query.
metadata:
nanobot:
emoji: 🏢
category: research
tags: [linkedin, company, search, business]
---
## LinkedIn Company Search
This skill allows the nanobot to search LinkedIn for companies based on a provided search query.
**Instructions:**
1. **Receive Query:** The skill will receive a text query representing the company name or keywords to search for.
2. **LinkedIn Search:** Utilize LinkedIn's search functionality (simulated within the nanobot environment) to find companies matching the query. Assume a simplified search API exists that returns a list of company names and LinkedIn URLs.
3. **Filter Results:** If the search returns a large number of results, prioritize results that closely match the query. Consider factors like exact name matches, presence of keywords in the company description, and industry relevance (if industry information is available).
4. **Return Results:** Return a list of the top 3-5 most relevant companies, each including:
* Company Name
* LinkedIn URL
5. **Handle No Results:** If no companies are found matching the query, return a message indicating that no results were found.
**Example Input:**
`"Search for companies in the renewable energy sector in California."`
**Example Output:**
[ { "company_name": "SunPower Corporation", "linkedin_url": "https://www.linkedin.com/company/sunpower" }, { "company_name": "Tesla", "linkedin_url": "https://www.linkedin.com/company/tesla" }, { "company_name": "Enphase Energy", "linkedin_url": "https://www.linkedin.com/company/enphase-energy" } ]
**Error Handling:**
* If the query is empty or invalid, return an error message indicating that a valid query is required.
* If the simulated LinkedIn search API fails, return an error message indicating a search error.
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