Consulting Analysis
bytedance/deer-flow
A skill your agent uses when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial…
Research companies, professionals, job markets, and industry content on LinkedIn through SandBase.
Install Linkedin Research
$ npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sandbaseai/sandbase-skills linkedin-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/linkedin-research .claude/skills/linkedin-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linkedin-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/linkedin-research into .claude/skills/linkedin-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sandbaseai/sandbase-skills/tree/main/research/linkedin-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sandbaseai/sandbase-skills linkedin-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/research/linkedin-research .agents/skills/linkedin-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/linkedin-research into .agents/skills/linkedin-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sandbaseai/sandbase-skills linkedin-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/research/linkedin-research .cursor/skills/linkedin-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkedin-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/linkedin-research into .cursor/skills/linkedin-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sandbaseai/sandbase-skills.git --path research/linkedin-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sandbaseai/sandbase-skills linkedin-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/research/linkedin-research .gemini/skills/linkedin-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkedin-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/linkedin-research into .gemini/skills/linkedin-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sandbaseai/sandbase-skills linkedin-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/research/linkedin-research .github/skills/linkedin-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/linkedin-research into .github/skills/linkedin-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sandbaseai/sandbase-skills linkedin-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/research/linkedin-research .opencode/skills/linkedin-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/linkedin-research into .opencode/skills/linkedin-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkedin-research- GitHub stars
- 202
- Token cost
- ~688 tokens
- SKILL.md length
- 282 words
- Files
- 2 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Research companies, professionals, job markets, and industry content on LinkedIn through SandBase.
- Works in 4 steps: Company research → Professional research → Job market research → …
- Asked for LinkedIn research
- SKILL.md covers Call SandBase capabilities, Operating principles, Workflow and Output, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Linkedin Research is an agent skill from sandbaseai/sandbase-skills. 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.
Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sandbase-api-map.md`).
It sits in Marketing & SEO, covering Market research and Competitor analysis. It works with LinkedIn. The repository describes itself as: 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek… The licence is Apache-2.0.
When your agent uses it
- Asked for LinkedIn research
- Company analysis
- Professional profiling
- Job market research
Example prompts
- “/linkedin-research”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cbab581. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkedin Research loads about 688 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 282 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sandbaseai/sandbase-skills at commit cbab581, republished under its Apache-2.0 licence (© sandbaseai). 282 words, ~688 tokens.
Download SKILL.mdSave it as
.claude/skills/linkedin-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- 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 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]."
© sandbaseai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in research/linkedin-research of sandbaseai/sandbase-skills.
- SKILL.md
- references/sandbase-api-map.md
Open the folder on GitHubat commit cbab581
Compare with similar skills
Linkedin Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkedin Research this skillsandbaseai/sandbase-skills | 202 | — | ~688 | Automated safety check: Pass | Apache-2.0 | |
| Consulting Analysisbytedance/deer-flow | 84k | 4 repos | ~8.4k | Automated safety check: Pass | MIT | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Money Discoveriamzifei/show-me-the-money | 1k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Omk ResearchKaimingWan/oh-my-kiro | 107 | — | ~827 | Automated safety check: Pass | MIT | |
| Market Research Analysismanojbajaj95/claude-gtm-plugin | 105 | — | ~2.6k | Automated safety check: Pass | MIT |
Similar skills
Startup Design
ferdinandobons/startup-skill
Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.
Money Discover
iamzifei/show-me-the-money
Discover profitable business ideas from scratch. An agent skill from iamzifei/show-me-the-money.
Omk Research
KaimingWan/oh-my-kiro
Multi-level research: built-in knowledge → web search → Tavily deep research API.
Market Research Analysis
manojbajaj95/claude-gtm-plugin
Comprehensive market research and analysis skill. An agent skill from manojbajaj95/claude-gtm-plugin.
Sellersprite Amazon Research
liangdabiao/amazon-sorftime-research-MCP-skill
卖家精灵 Amazon 全链路数据调研 Skill。通过 43 个 MCP 数据工具完成选品分析、关键词研究、竞品监控、市场分析、定价策略、评论分析、广告优化、流量分析、Listing 优化和蓝海机会挖掘。触发场景：(1) 用户询问 Amazon 选品/市场/竞品分析 (2) 用户输入 /product-research, /market-analysis…
More from sandbaseai/sandbase-skills
All 23 skills in this repoMulti Source Search
sandbaseai/sandbase-skills
Portable multi-source research with cross-source validation and an offline evidence ledger.
Academic Research
sandbaseai/sandbase-skills
Search academic papers, scholarly articles, and research publications through SandBase.
Brand Monitoring
sandbaseai/sandbase-skills
Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase.
Cash Flow Snapshot
sandbaseai/sandbase-skills
Create a 30/60/90-day cash-flow forecast from AR, AP, opening cash, payment timing, and fixed-cost data.
Competitor Monitor
sandbaseai/sandbase-skills
Monitor competitor websites, content changes, social activity, and market positioning through SandBase.
Exa Deep Search
sandbaseai/sandbase-skills
Search, extract, and compare high-quality public sources with Exa through SandBase.
Related
Works with
Categories
Questions about Linkedin Research
What does Linkedin Research do?
Research companies, professionals, job markets, and industry content on LinkedIn through SandBase. Linkedin Research is an agent skill from sandbaseai/sandbase-skills. Research companies, professionals, job markets, and industry content on LinkedIn through SandBase.
When should I use Linkedin Research?
Linkedin Research fits situations like: asked for LinkedIn research; company analysis; professional profiling; job market research.
How do I install Linkedin Research in Claude Code?
Run `npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a claude-code`. Or copy the skill folder (research/linkedin-research in sandbaseai/sandbase-skills) into .claude/skills/linkedin-research in your project. Claude Code loads it when a task matches its description.
How do I install Linkedin Research in Codex?
Run `npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a codex`. Or copy the skill folder (research/linkedin-research in sandbaseai/sandbase-skills) into .agents/skills/linkedin-research in your project. Codex loads it when a task matches its description.
Can I use Linkedin Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sandbaseai/sandbase-skills --skill linkedin-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-research, .gemini/skills/linkedin-research, .github/skills/linkedin-research and .opencode/skills/linkedin-research in your project.
What does Linkedin Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Linkedin Research is instructions for the agent only.
Does Linkedin Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Linkedin Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Linkedin Research use?
Linkedin Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Linkedin Research use?
About 688 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 344 tokens, read only when the agent opens those files.
What are the alternatives to Linkedin Research?
Skills that share tags, products or a category with Linkedin Research: Consulting Analysis (bytedance/deer-flow, 84k stars), Startup Design (ferdinandobons/startup-skill, 1.2k stars), Money Discover (iamzifei/show-me-the-money, 1k stars) and Omk Research (KaimingWan/oh-my-kiro, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkedin Research?
sandbaseai (a GitHub organization) maintains it in sandbaseai/sandbase-skills, which has 202 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 26, 2026.
Source: sandbaseai/sandbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.