gtm-enrichment-deep
AI-agent-powered lead enrichment using Sixtyfour as primary source.
Skill by orthogonal-sh
Chalk Labs
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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/orthogonal-sh-gtm-enrichment-deep
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: data, sales, productivity, agent-building
Reviews
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What's inside
- Skill name
gtm-enrichment-deep- Description
- AI-agent-powered lead enrichment using Sixtyfour as primary source. Takes an email (+ optional name) and returns comprehensive person + company data with funding, AI/B2B classification, and full error visibility. Higher cost (~$0.20/lead) but simpler architecture.
- License
- unknown
- Instructions
- 216 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "gtm-enrichment-deep" does not match folder "orthogonal-gtm-enrichment-deep"
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 11
- Forks
- 3
- Open issues
- 1
- Last commit (this folder)
- Feb 25, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/orthogonal-sh/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
gtm-enrichment-deep skill. Agent Mart. https://agentmart.dev/skills/orthogonal-sh-gtm-enrichment-deep (last updated 2026-10-24)