linkedin-research
Research companies, professionals, job markets, and industry content on LinkedIn through SandBase.
Skill by sandbaseai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sandbaseai-linkedin-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/linkedin-research
What's inside
- Skill 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.
- License
- Apache-2.0
- Instructions
- 50 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- sandbase-api-map.md · references/
SKILL.md (first lines)
# 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. - 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]."
From sandbaseai/sandbase-skills, Apache-2.0.
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Signals
- Stars
- 201
- Forks
- 21
- Open issues
- 1
- Last commit (this folder)
- Sep 8, 2026 (1 month ago)
- Last release
- Aug 20, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/sandbaseai/sandbase-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
linkedin-research skill. Agent Mart. https://agentmart.dev/skills/sandbaseai-linkedin-research (last updated 2026-10-24)