LinkedIn Research Analyst

Linkedin research

by sandbaseai · Apache-2.0 license · ★ 203 on GitHub

Research companies, professionals, job markets, and industry content on LinkedIn through SandBase. Use when asked for LinkedIn research, company analysis, professional profiling, job market research, or B2B competitive intelligence.

---
name: linkedin-research
description: Research companies, professionals, job markets, and industry content on LinkedIn through SandBase. Use when asked for LinkedIn research, company analysis, professional profiling, job market research, or B2B competitive intelligence.
---

# LinkedIn Research

LinkedIn professional intelligence through SandBase. Research companies, analyze professional profiles, track industry content, and monitor job markets. Read [the API map](references/sandbase-api-map.md) before selecting a capability.

## Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with `sandbase_discover(q: "<provider and capability>")`; use its returned `name` in `sandbase_inspect(name: "<returned name>")`. Read `inputSchema`, pricing, and `execute_as`, then call `sandbase_run` using `execute_as.arguments.name` and schema-defined `arguments`. If a `run_id` is returned, poll `sandbase_run_get(run_id: "<returned run_id>")` within the task budget until `completed` or `failed`; report pending or failed runs without resubmitting them automatically.

## Operating principles

- Use LinkedIn data for professional research and B2B intelligence only.
- Respect professional privacy — report on public information only.
- Preserve context: include company names, titles, dates, and engagement.

Overview

LinkedIn professional intelligence through SandBase. Research companies, analyze professional profiles, track industry content, and monitor job markets. Read the API map before selecting a capability.

Manual install (npx, ZIP)

Claude Codenpx skills add sandbaseai/sandbase-skills --skill linkedin-research -g -a claude-code

Claude Code (degit)npx degit sandbaseai/sandbase-skills/research/linkedin-research#main ~/.claude/skills/linkedin-research

Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

SKILL.md2.7 KB

Read SKILL.md here

sandbaseai/main1 file shown

SKILL.md2.7 KB

Browse every file on GitHub↗

SKILL.md

Show the full text54 lines

linkedin-research/SKILL.md54 lines · 2.7 KB

PreviewCode

Outline

RawView on GitHub

LinkedIn Research

Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

Operating principles

Use LinkedIn data for professional research and B2B intelligence only.
Respect professional privacy — report on public information only.
Preserve context: include company names, titles, dates, and engagement.
Never attempt to connect, message, or apply on behalf of the user.

Workflow

1. Company research

Use linkedin_web_v2_company_profile for company details (size, industry, description, specialties). Use linkedin_web_v2_company_posts for company content strategy and engagement.

2. Professional research

Use linkedin_web_v2_user_profile for professional background and current role. Use linkedin_web_v2_user_posts for thought leadership and content activity.

3. Job market research

Use linkedin_web_v2_search_jobs to find open positions by keyword, location, or company. Use linkedin_web_v2_job_detail for detailed job requirements and qualifications.

4. Content analysis

Use linkedin_web_v2_post_detail for specific post metrics. Use linkedin_web_v2_post_comments for professional discourse and reactions.

Output

Return: company overview, team structure insights, content strategy analysis, job market signals, and competitive positioning.

Example tasks

"Research [company] on LinkedIn — size, industry positioning, recent posts."
"What is [person]'s professional background and current role?"
"Find open [role] positions at companies in [industry] in [location]."
"What content is [company] posting on LinkedIn? Analyze their strategy."
"Compare hiring patterns between [company A] and [company B]."

1	---
2	name: linkedin-research
3	description: Research companies, professionals, job markets, and industry content on LinkedIn through SandBase. Use when asked for LinkedIn research, company analysis, professional profiling, job market research, or B2B competitive intelligence.
4	---
5
6	# LinkedIn Research
7
8	LinkedIn professional intelligence through SandBase. Research companies, analyze professional profiles, track industry content, and monitor job markets. Read [the API map](references/sandbase-api-map.md) before selecting a capability.
9
10	## Call SandBase capabilities
11
12	Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with `sandbase_discover(q: "<provider and capability>")`; use its returned `name` in `sandbase_inspect(name: "<returned name>")`. Read `inputSchema`, pricing, and `execute_as`, then call `sandbase_run` using `execute_as.arguments.name` and schema-defined `arguments`. If a `run_id` is returned, poll `sandbase_run_get(run_id: "<returned run_id>")` within the task budget until `completed` or `failed`; report pending or failed runs without resubmitting them automatically.
13
14	## Operating principles
15
16	- Use LinkedIn data for professional research and B2B intelligence only.
17	- Respect professional privacy — report on public information only.
18	- Preserve context: include company names, titles, dates, and engagement.
19	- Never attempt to connect, message, or apply on behalf of the user.
20
21	## Workflow
22
23	### 1. Company research
24
25	Use `linkedin_web_v2_company_profile` for company details (size, industry, description, specialties).
26	Use `linkedin_web_v2_company_posts` for company content strategy and engagement.
27
28	### 2. Professional research
29
30	Use `linkedin_web_v2_user_profile` for professional background and current role.
31	Use `linkedin_web_v2_user_posts` for thought leadership and content activity.
32
33	### 3. Job market research
34
35	Use `linkedin_web_v2_search_jobs` to find open positions by keyword, location, or company.
36	Use `linkedin_web_v2_job_detail` for detailed job requirements and qualifications.
37
38	### 4. Content analysis
39
40	Use `linkedin_web_v2_post_detail` for specific post metrics.
41	Use `linkedin_web_v2_post_comments` for professional discourse and reactions.
42
43	## Output
44
45	Return: company overview, team structure insights, content strategy analysis, job market signals, and competitive positioning.
46
47	## Example tasks
48
49	- "Research [company] on LinkedIn — size, industry positioning, recent posts."
50	- "What is [person]'s professional background and current role?"
51	- "Find open [role] positions at companies in [industry] in [location]."
52	- "What content is [company] posting on LinkedIn? Analyze their strategy."
53	- "Compare hiring patterns between [company A] and [company B]."
54