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Databar publishes Agent Skills — pre-built workflow instructions that teach AI agents how to combine Databar tools for common tasks. Skills follow the open SKILL.md standard and work across 27+ agents including Claude, Cursor, Codex, Gemini CLI, OpenClaw, Windsurf, and GitHub Copilot.
Skills call the tools of the hosted MCP server, so connect it first (see MCP Server).

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Available skills

Single Enrichment

Look up a person, company, email, or phone number using the best matching enrichment.

Table-Driven Enrichment

Create a table, insert rows, attach an enrichment, run it, and get a shareable link.

Waterfall Enrichment

Try multiple data providers in sequence to maximize success rate.

Bulk Enrichment

Enrich a list of up to 100 records in a single operation with inline results.

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How skills work

Without skills, you have to guide the AI step-by-step: “search for an enrichment, then get details, then run it…” With skills, you just say “find the email for John Smith at Google” and the agent knows the full workflow automatically. Skills use a three-phase loading model to stay efficient:
Skills are loaded on demand — they don’t consume context until the agent decides they’re relevant to your request.

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Installing skills

Skills are published with these docs. Install them into your agent with one command:
It asks which agent to install for (Claude Code, Cursor, Codex, OpenClaw, and others) and copies the skills into that agent’s skills directory. The agent then discovers and activates them when relevant. To browse or download the files by hand, start from the discovery index at docs.databar.ai/.well-known/skills/index.json.