lead-storage

Persist validated lead objects through write-only storage operations after Supervisor provides explicit confirmation. Use when users ask to save approved leads to Google Sheets or DB, including normalized location and priority fields. Recommended chain end: supervisor confirmation then lead-storage. Do not use for parsing, extraction, analytics, or action recommendation.

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Install skill "lead-storage" with this command: npx skills add vishalgojha/lead-storage

Lead Storage

Store validated leads with strict confirmation gating.

Quick Triggers

  • Save approved leads to Google Sheets.
  • Persist these normalized records after confirmation.
  • Commit validated leads with confirmation token.

Recommended Chain

... -> supervisor confirmation -> lead-storage

Execute Workflow

  1. Accept payload from Supervisor.
  2. Validate payload with references/storage-input.schema.json.
  3. Verify confirmation_token is present and non-empty.
  4. Write leads to storage through write-only interfaces.
  5. Preserve optional extraction/normalization/scoring metadata when present:
    • extraction: deal_type, asset_class, price_basis, area_sqft, area_basis
    • record typing: dataset_mode, record_type
    • location: city, city_canonical, locality_canonical, micro_market, location_hint
    • prioritization: urgency, priority_bucket
  6. Enforce idempotency by lead_id and avoid duplicate inserts for repeated broker forwards.
  7. Return result using references/storage-output.schema.json.
  8. On partial failures, return status: "failure" and a populated error_message.

Enforce Boundaries

  • Never parse raw messages.
  • Never extract new lead entities.
  • Never perform read queries for analytics or summaries.
  • Never generate suggested actions.
  • Never write anything when confirmation token is missing or invalid.
  • Never self-approve writes.

Reliability Rules

  1. Prefer idempotent writes keyed by lead_id.
  2. Log rejected writes with validation reason.
  3. Fail closed on any permission ambiguity.

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