From arb
Converts SCB scoring outputs into prioritized remediation plans with veto-first sequencing, pillar-weight impact sizing, batching, and re-evaluation checkpoints. Useful post-SCB audits.
npx claudepluginhub huifer/adsense-readiness-benchmark --plugin arbThis skill uses the workspace's default tool permissions.
Operational planning layer for SCB remediation. Transforms score output into an implementation backlog with priority, owner-ready tasks, and verification gates.
Suggests manual /compact at logical task boundaries in long Claude Code sessions and multi-phase tasks to avoid arbitrary auto-compaction losses.
Share bugs, ideas, or general feedback.
Operational planning layer for SCB remediation. Transforms score output into an implementation backlog with priority, owner-ready tasks, and verification gates.
Turn SCB findings into execution:
Input: SCB score report + profile manifest + resource constraints Output: Prioritized remediation plan + recheck schedule + progress tracker Optional Scripts: Task exporter, issue template generator, status dashboard Time: 10-25 minutes per audit package
| Field | Required | Default | Notes |
|---|---|---|---|
| scb_report | Yes | - | Item-level scores, pillar scores, veto status |
| profile_manifest | Yes | - | From scb-profile-router |
| implementation_window_days | No | 30 | Planning horizon |
| team_capacity | No | medium | low / medium / high |
| risk_tolerance | No | balanced | strict / balanced / aggressive |
Planner must preserve and echo scoring scope from input:
Planner-specific output fields:
Read SCB inputs and standardize issue objects:
Immediate blockers:
If any veto is active, mark plan_status as blocked_until_veto_fixed.
Recommended formula:
Where:
Batching logic:
For each batch define:
Produce markdown roadmap and machine-readable JSON plan.
digraph scb_execution_planner {
"Load Inputs" [shape=box];
"Normalize Findings" [shape=box];
"Veto-First Triage" [shape=box];
"Priority Scoring" [shape=box];
"Batch Planning" [shape=box];
"Define Rechecks" [shape=box];
"Publish Plan" [shape=doublecircle];
"Load Inputs" -> "Normalize Findings";
"Normalize Findings" -> "Veto-First Triage";
"Veto-First Triage" -> "Priority Scoring";
"Priority Scoring" -> "Batch Planning";
"Batch Planning" -> "Define Rechecks";
"Define Rechecks" -> "Publish Plan";
}
# SCB Remediation Roadmap
- Score Mode: Core 80 + Profile
- Current Total: 63 (Needs Work)
- Target Total: 78 (Near Ready)
- Active Veto: IA02
## Batch 1 (Days 1-7)
- IA02 SERP Format Alignment: rebuild structure to match dominant result format
- IQ12 Originality Gate: remove derivative blocks and add first-party evidence
Acceptance:
- Veto items cleared
- Updated evidence attached
- Partial recheck passed
## Batch 2 (Days 8-20)
- EA13 Citation hardening
- IQ05 Information Gain expansion
- IA11 SERP feature targeting updates
## Batch 3 (Days 21-30)
- UX04 summary enhancement
- GE11 snippet block optimization
- GE14 schema completeness
{
"meta": {
"score_mode": "Core 80 + Profile",
"planning_window_days": 30,
"planner_version": "1.0",
"timestamp": "2026-05-05T00:00:00Z"
},
"scope": {
"covered_items": ["IQ01", "..."],
"selected_profile_items": ["IQ15", "EA14"],
"triggered_extension_items": ["IA17"],
"missing_items": []
},
"summary": {
"current_total_score": 63,
"target_total_score": 78,
"grade_now": "Needs Work",
"grade_target": "Near Ready",
"plan_status": "blocked_until_veto_fixed"
},
"veto_blockers": [
{"item_id": "IA02", "current_score": 0, "target_score": 4}
],
"remediation_batches": [
{
"batch_id": "B1",
"priority": "critical",
"timebox_days": 7,
"items": ["IA02", "IQ12"],
"acceptance_checks": ["veto_cleared", "evidence_attached"]
}
],
"recheck_plan": [
{"after_batch": "B1", "mode": "partial", "items": ["IA02", "IQ12"]},
{"after_batch": "B3", "mode": "full", "items": ["all_in_scope"]}
],
"completion_criteria": {
"all_veto_cleared": true,
"target_score_reached": true,
"critical_items_below_3": 0
}
}
Typical SCB chain:
Problem: teams optimize UX/GE while veto remains active Fix: force blocked status until veto items meet target
Problem: too many medium tasks dilute high-impact work Fix: cap batch size by capacity and keep high-weight pillars first
Problem: score changes are proposed without proof Fix: require evidence_links per task before re-evaluation
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