Clay Build Gate

    1

    Gates every Clay build through routing, input checks, and constraint enforcement before a credit is spent.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    I need to build a Clay table to find 500 decision makers at US SaaS companies. I have a CSV of domains. I'll use Apollo and Hunter. Budget is 2000 credits.

    Your agent does

    Gate Check Passed. Ramp: 10 rows, then 50, then full. Auto-run: OFF.

    1. Action: 'Find People' (Apollo)
    • Input: domain
    • Condition: if domain is present
    • Path: Verify in preview
    • Cost: 1 credit/row

    [Instruction Blocks Follow] Total Cost: 1,500 credits (Within budget).

    What you get

    Design credit-efficient enrichment waterfalls with conditional gates.Prevent accidental credit burn by enforcing manual auto-run settings.Generate step-by-step instructions for exact Clay action naming.Calculate multi-stage ramp costs before touching the workspace.

    About this skill

    The problem

    Clay builds often fail due to expensive mistakes like accidental auto-runs, incorrect action names, or missing cost ceilings. Operators frequently burn credits by ramping to full tables before verifying extraction paths or run conditions.

    What it does

    • Enforces a pre-flight check on goal, source, providers, and budget before any build begins.
    • Structures the run order to place expensive enrichments behind cheap conditional gates.
    • Defines a three-stage ramp (10 rows, 50-100 rows, then full) to prevent bulk credit waste.
    • Provides exact action names and instructions to verify JSON paths via column previews rather than provider docs.
    • Calculates total cost per row across all ramp stages against your stated budget.

    Frameworks & tools

    Clay.com workspace and Clay enrichment providers.

    Why this beats prompting it yourself

    Generic prompts often forget to disable auto-run or ignore the case-sensitivity of Clay field references. This skill forces a specific two-part instruction shape that prevents the common "silent failure" modes where the wrong action is selected or a null path is mapped.

    Use cases

    • Setting up complex enrichment waterfalls with multiple providers.
    • Adding new columns to an existing table without breaking the budget.
    • Planning a fresh outbound list build from a CSV or LinkedIn search.
    • Reviewing a draft build plan to identify potential credit leaks.

    Known limitations

    Requires the user to provide a specific budget ceiling in credits or dollars before generating instructions.

    Most premium skills are on a weekly review cycle. Fixes and improvements ship as updates, and buyers receive release notes by email. Part of the Mambabuilt catalog. Packs and the full bundle are available at mambabuilt.com.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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