lead-storagePersist validated lead objects through write-only storage operations after Supervisor provides explicit confirmation. Use when users ask to save approved lea...
Install via ClawdBot CLI:
clawdbot install vishalgojha/lead-storageStore validated leads with strict confirmation gating.
... -> supervisor confirmation -> lead-storage
references/storage-input.schema.json.confirmation_token is present and non-empty.deal_type, asset_class, price_basis, area_sqft, area_basisdataset_mode, record_typecity, city_canonical, locality_canonical, micro_market, location_hinturgency, priority_bucketlead_id and avoid duplicate inserts for repeated broker forwards.references/storage-output.schema.json.status: "failure" and a populated error_message.lead_id.Generated Mar 1, 2026
After a supervisor approves a new property lead from a broker inquiry, this skill stores the validated lead data into a Google Sheets database. It captures normalized location details like city and micro-market, along with priority fields such as urgency, ensuring no duplicate entries for repeated submissions.
When a financial advisor receives confirmation to save a potential client lead for investment opportunities, this skill persists the lead with asset class and deal type metadata. It enforces idempotency to prevent duplicate records from multiple broker forwards, maintaining data integrity in a secure storage system.
In a retail setting, after a manager approves a sales lead from a customer inquiry, this skill writes the lead to a database with normalized location and priority information. It handles optional metadata like price basis and area details, ensuring reliable storage without analytics or read operations.
Following supervisor confirmation for a patient lead from a referral, this skill stores the lead data with urgency and priority bucket fields. It validates the confirmation token and writes to a write-only interface, avoiding any parsing or extraction of raw messages for compliance.
After approval of a tech sales lead from a demo request, this skill commits the lead to Google Sheets with extraction metadata such as record type and dataset mode. It ensures idempotent writes based on lead ID, logging any failures for audit purposes in the sales pipeline.
This skill integrates into a subscription-based software that helps businesses store and manage validated leads after supervisor approval. Revenue is generated through monthly user fees for access to reliable, gated storage features that prevent data duplication and ensure compliance.
Used within large enterprise customer relationship management systems, this skill enables secure lead storage after explicit confirmation, enhancing data governance. Revenue comes from licensing fees for the integration, which reduces manual entry errors and improves sales pipeline accuracy.
Consulting firms deploy this skill as part of custom solutions for clients needing strict confirmation gating for lead persistence. Revenue is earned through project-based fees for implementation and maintenance, ensuring clients adhere to data validation and idempotency rules.
💬 Integration Tip
Ensure the supervisor confirmation step provides a valid confirmation token and payload matching the storage-input schema to trigger successful writes without errors.
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