Linkedin Outbound Angle
Othmane-Khadri/YALC-the-GTM-operating-system
Analyzes a LinkedIn profile and identifies the perfect outbound attack angle for personalized outreach.
Contact enrichment skill for Claude Code and Codex: look up a B2B prospect's full professional profile including work email, phone number, LinkedIn profile, title, seniority, department, and company…
Install Enrich Contact
$ npx skills add explorium-ai/gtm-skills --skill enrich-contact -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install explorium-ai/gtm-skills enrich-contact --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/explorium-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/enrich-contact .claude/skills/enrich-contact && 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 "enrich-contact" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-contact into .claude/skills/enrich-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-contact", 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/explorium-ai/gtm-skills/tree/main/skills/enrich-contactType 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 explorium-ai/gtm-skills --skill enrich-contact -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install explorium-ai/gtm-skills enrich-contact --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/enrich-contact .agents/skills/enrich-contact && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "enrich-contact" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-contact into .agents/skills/enrich-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-contact", 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 explorium-ai/gtm-skills --skill enrich-contact -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install explorium-ai/gtm-skills enrich-contact --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/enrich-contact .cursor/skills/enrich-contact && 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 "enrich-contact" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-contact into .cursor/skills/enrich-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-contact", 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/explorium-ai/gtm-skills.git --path skills/enrich-contact--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 explorium-ai/gtm-skills --skill enrich-contact -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install explorium-ai/gtm-skills enrich-contact --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/enrich-contact .gemini/skills/enrich-contact && 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 "enrich-contact" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-contact into .gemini/skills/enrich-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-contact", 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 explorium-ai/gtm-skills enrich-contactInstalls 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 explorium-ai/gtm-skills --skill enrich-contact -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/enrich-contact .github/skills/enrich-contact && 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 "enrich-contact" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-contact into .github/skills/enrich-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-contact", 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 explorium-ai/gtm-skills --skill enrich-contact -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install explorium-ai/gtm-skills enrich-contact --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/enrich-contact .opencode/skills/enrich-contact && 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 "enrich-contact" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-contact into .opencode/skills/enrich-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich-contact", 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
enrich-contact- GitHub stars
- 185
- Token cost
- ~1k tokens
- SKILL.md length
- 531 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- MIT
At a glance
Contact enrichment skill for Claude Code and Codex: look up a B2B prospect's full professional profile including work email, phone number, LinkedIn profile, title, seniority, department, and company…
- Works in 6 steps: Classify the identifier. Pick exactly… → Resolve the prospect. → Handle ambiguity. If matching returns… → …
- Contact data enrichment
- SKILL.md covers Input, Workflow, Output Format and Limitations
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Enrich Contact is an agent skill from explorium-ai/gtm-skills. Contact enrichment skill for Claude Code and Codex: look up a B2B prospect's full professional profile including work email, phone number, LinkedIn profile, title, seniority, department, and company firmographics. Provide an email, name + company, LinkedIn URL, or prospectid. Use for contact data enrichment, email lookup, LinkedIn profile lookup, and outbound contact data workflows in Claude Code, Codex, Hermes-Agent, and other AI agents.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Resume and CV writing. It works with LinkedIn. The repository describes itself as: GTM Skills for Claude & Codex. The licence is MIT.
When your agent uses it
- Contact data enrichment
- LinkedIn profile lookup
- Outbound contact data workflows in Claude Code
- Other AI agents
Example prompts
- “/enrich-contact”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Classify the identifier. Pick exactly one resolution path: do not fan out match strategies in parallel. Use the strongest signal first and…
- Resolve the prospect.
- Handle ambiguity. If matching returns zero rows
- Enrich the prospect. Pull contacts and profile on the resolved person. Default to email-only contacts (cheaper); upgrade to email plus…
- Optional company context. If the user asked for company context (or path C resolved a business_id), enrich firmographics on the employer…
- Assemble the output. Render the card below. Omit empty fields. Always surface the prospect_id.
What it can do on your machine
Read from SKILL.md and the folder at commit f0efa6b. 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
Enrich Contact loads about 1k tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 531 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 explorium-ai/gtm-skills at commit f0efa6b, republished under its MIT licence (© explorium-ai). 531 words, ~1,033 tokens.
Download SKILL.mdSave it as
.claude/skills/enrich-contact/SKILL.md (or your agent's skills folder).- name
- enrich-contact
- description
- Contact enrichment skill for Claude Code and Codex: look up a B2B prospect's full professional profile including work email, phone number, LinkedIn profile, title, seniority, department, and company firmographics. Provide an email, name + company, LinkedIn URL, or prospect_id. Use for contact data enrichment, email lookup, LinkedIn profile lookup, and outbound contact data workflows in Claude Code, Codex, Hermes-Agent, and other AI agents.
Enrich Contact
Resolve one person and return their full enriched profile in a single pass.
Input
The user will supply one of:
- An email address (e.g.
jane@acme.com) - A full name plus a company name or domain (e.g.
Jane Smith at Acme Corp) - A LinkedIn profile URL
- A known Explorium
prospect_id
Optional: a request for company context (firmographics on the matched employer).
Workflow
Classify the identifier. Pick exactly one resolution path: do not fan out match strategies in parallel. Use the strongest signal first and fall back only if it returns no match.
- Email present and well-formed: path A.
- LinkedIn URL: path B.
- Bare
prospect_id: path D, skip resolution. - Full name plus a company token: path C.
- Phone-only: stop and tell the user phone-only is not a supported match key.
Resolve the prospect.
- Path A: match the prospect by email.
- Path B: match the prospect by LinkedIn URL.
- Path C: if the user gave a company name, first resolve the business to get its canonical domain and
business_id, then match the prospect by full name plus that company domain or id. - Path D: use the supplied id directly.
Handle ambiguity. If matching returns zero rows:
- For path A, retry by splitting the email local-part into a name guess plus the company domain.
- For path C, retry with first/last name and the resolved
business_idfrom a company match. - If multiple plausible rows return, surface a candidates table and ask the user to pick. Never silently take the first row.
Enrich the prospect. Pull contacts and profile on the resolved person. Default to email-only contacts (cheaper); upgrade to email plus phone only when the user explicitly needs phone numbers (e.g. SDR dialer flows).
- Recent LinkedIn post content for an individual is not available. If the user asks for post content, surface this gap and offer the employer's LinkedIn posts via business enrichment instead.
Optional company context. If the user asked for company context (or path C resolved a
business_id), enrich firmographics on the employer and surface headcount, revenue range, country, and industry.Assemble the output. Render the card below. Omit empty fields. Always surface the
prospect_id.
Show full SKILL.md (172 more words)Show less
Output Format
[Full Name] at [Company]
| Field | Value |
|---|---|
| Job Title | |
| Job Level | display canonical (e.g. c-suite, vice president) |
| Job Department | fallback "Unattributed" when null |
| Professional Email / Personal Email / Phone | |
| LinkedIn URL | |
| Company / Domain / Industry | |
| Company Size / Revenue / Country | buckets |
| prospect_id / business_id |
If multiple candidates surfaced during resolution and the user has not yet picked, render a ### Candidates table instead, with one row per candidate (name, title, company, domain, prospect_id) and ask which to enrich.
Limitations
- High-profile public execs (CEOs, founders, well-known executives) often have suppressed contact data. Professional email may be null or only a personal address. Recommend LinkedIn outreach instead of cold email for this tier.
- Phone-only lookup is not a supported match key.
- No per-prospect accuracy or confidence score. Treat the presence of a professional email plus phone as the practical quality signal.
- No
last_updatedtimestamp per contact field. Level and department are coarse buckets; department is null for many cross-functional senior roles (Chief X Officer, President, Founder), group under "Unattributed". - Company size and revenue are bucketed, not exact numbers.
© explorium-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/enrich-contact of explorium-ai/gtm-skills.
Open the folder on GitHubat commit f0efa6b
Compare with similar skills
Enrich Contact 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 |
|---|---|---|---|---|---|---|
| Enrich Contact this skillexplorium-ai/gtm-skills | 185 | — | ~1k | Automated safety check: Pass | MIT | |
| Linkedin Outbound AngleOthmane-Khadri/YALC-the-GTM-operating-system | 318 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Contact HunterOneWave-AI/claude-skills | 336 | — | ~767 | Automated safety check: Pass | MIT | |
| Linkedin Profile OptimizerBrianRWagner/ai-marketing-claude-code-skills | 441 | — | ~3.8k | Automated safety check: Pass | None | |
| Linkedinunifapi-agent/agents | 589 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Build Tailored ResumeSankaiAI/ats-optimized-resume-agent-skill | 106 | — | ~4.4k | Automated safety check: Notes | MIT |
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Questions about Enrich Contact
What does Enrich Contact do?
Contact enrichment skill for Claude Code and Codex: look up a B2B prospect's full professional profile including work email, phone number, LinkedIn profile, title, seniority, department, and company…. Enrich Contact is an agent skill from explorium-ai/gtm-skills. Contact enrichment skill for Claude Code and Codex: look up a B2B prospect's full professional profile including work email, phone number, LinkedIn profile, title, seniority, department, and company firmographics.
When should I use Enrich Contact?
Enrich Contact fits situations like: contact data enrichment; linkedIn profile lookup; outbound contact data workflows in Claude Code; other AI agents.
How do I install Enrich Contact in Claude Code?
Run `npx skills add explorium-ai/gtm-skills --skill enrich-contact -a claude-code`. Or copy the skill folder (skills/enrich-contact in explorium-ai/gtm-skills) into .claude/skills/enrich-contact in your project. Claude Code loads it when a task matches its description.
How do I install Enrich Contact in Codex?
Run `npx skills add explorium-ai/gtm-skills --skill enrich-contact -a codex`. Or copy the skill folder (skills/enrich-contact in explorium-ai/gtm-skills) into .agents/skills/enrich-contact in your project. Codex loads it when a task matches its description.
Can I use Enrich Contact 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 explorium-ai/gtm-skills --skill enrich-contact -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enrich-contact, .gemini/skills/enrich-contact, .github/skills/enrich-contact and .opencode/skills/enrich-contact in your project.
What does Enrich Contact need to run?
SKILL.md names no scripts, command-line tools or credentials: Enrich Contact is instructions for the agent only.
Does Enrich Contact 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 Enrich Contact 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 Enrich Contact use?
Enrich Contact is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Enrich Contact use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Enrich Contact?
Skills that share tags, products or a category with Enrich Contact: Linkedin Outbound Angle (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars), Contact Hunter (OneWave-AI/claude-skills, 336 stars), Linkedin Profile Optimizer (BrianRWagner/ai-marketing-claude-code-skills, 441 stars) and Linkedin (unifapi-agent/agents, 589 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Enrich Contact?
explorium-ai (a GitHub organization) maintains it in explorium-ai/gtm-skills, which has 185 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.
Source: explorium-ai/gtm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.