salesportl-pool-cleaning-quality-review-orchestrator

Purpose

Run recursive quality checks across pool maintenance services outputs, scoring logic, consistency, thoroughness, and completeness.

Use when

• You are operating inside SalesPortl-Pool-Cleaning-Skills-Suite.
• You need pool maintenance services execution quality for pool cleaning and maintenance companies.
• You want repeatable, improving workflows that learn from each run via context + memory updates.

Industry fit: micro-niche variants

• recurring maintenance providers
• repair-focused operators
• seasonal opening/closing specialists

Standard operating patterns (SOP)

• route density and scheduling
• service package optimization
• renewal and retention routines

SalesPortl platform tooling focus (if available in workspace)

• campaign automations for seasonal service
• click tracking by service package
• calendar/pipeline nodes for recurring visits

Required inputs

• Business objective and requested deliverable
• Current context quality (none/partial/verified)
• Business model, offer mix, and target customer profile
• Authority boundary for external actions (draft-only unless approved)
• Available SalesPortl platform features in this workspace

Workflow

1. Score outputs across logic, consistency, thoroughness, completeness, and platform execution readiness.
2. Reject any output below threshold and send targeted revision requests to source skill(s).
3. Run recursive loops until confidence threshold is achieved or blocking unknowns are surfaced.
4. Finalize only when output is actionable, niche-accurate, and tool-node implementable.

Platform execution checklist

• Campaign orchestration nodes
• Click-tracking and attribution configuration
• Workflow/automation nodes
• Custom agent launch and role-specialized sub-agents
• CRM pipeline and lead stage automation
• Calendar, booking, and follow-up automations
• Website/page/app builder flows (where available)

Output format

- Scorecard by criterion: ...
- Defects and required corrections: ...
- Loop count and current confidence: ...
- Final go/no-go decision: ...

Confidence scoring rubric (0-5 each)

• Logic integrity
• Consistency with context and previous decisions
• Thoroughness of analysis
• Completeness for implementation
• Platform/tooling readiness
• Niche-specific relevance
• Target: average >= 4.2 before final handoff

Quality checks

• Output explicitly reflects this industry plus at least one micro-niche variant.
• Recommendations map to practical SalesPortl feature usage when requested.
• Ambiguities are handled by questions, not assumptions.
• Logic is coherent end-to-end across routing, execution, and QA.
• Completeness is verified before finalization; partial output is labeled as partial.

Recursive loop control

1. Evaluate current output against the scoring rubric.
2. If target score is not met, route revision to the most relevant source skill.
3. Re-run checks after revision and update confidence score.
4. Continue until target score is reached or blocking unknowns require user input.