Cross-platform deduplication methodology for HubSpot and Salesforce with 6-phase workflow. Use when deduplicating Company/Account records, clustering duplicates, selecting canonical records, executing merges with data preservation, repairing associations, or implementing guardrails to prevent recurrence.
From opspal-data-hygienenpx claudepluginhub revpalsfdc/opspal-commercial --plugin opspal-data-hygieneThis skill is limited to using the following tools:
cross-platform-sync.mdmatching-algorithms.mdmerge-rules.mdquality-scoring.mdEnables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Phase 0: Safety & Snapshot
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Phase 1: Clustering (Bundle A: SF-anchored, Bundle B: HS-only)
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Phase 2: Canonical Selection (Weighted scoring)
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Phase 3: Execution (Dry-run → Live)
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Phase 2.5: Association Repair (PRIMARY verification)
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Phase 4: Guardrails (Prevention)
| Factor | Points | Description |
|---|---|---|
| Has SF Account ID | 100 | Salesforce-synced |
| Sync Health | 50 | Recent sync + valid |
| Contact Count | 40 | Normalized |
| Deal Count | 25 | Normalized |
| Has Owner | 10 | Owner assigned |
| Age | 5 | Older preferred |
See supporting files:
matching-algorithms.md - Clustering logicmerge-rules.md - Survivor selectioncross-platform-sync.md - SF↔HS sync handlingquality-scoring.md - Data quality assessment