---

name: import-skill-optimizer-lawvable
description: Use when migrating a Lawvable skill-optimizer tool into the mini-claude-for-legal format. The adapter maps Lawvable's skill-improvement pipeline — prompt quality scoring, output consistency testing, jurisdiction coverage gaps, and iterative refinement recommendations — into the standard skill model. Triggers when importing any Lawvable-native skill quality assurance or optimisation workflow.
license: MIT
metadata:
id: import.skill-optimizer-lawvable
category: import
jurisdictions: [multi]
priority: P3
intent: [import, skill-optimizer, lawvable, migration, quality-assurance, prompt-engineering]
related: [import-skill-creator-anthropic, import-skill-creator-openai, import-tabular-review-lawvable, import-outlook-emails-lawvable]
source: Louis — HAQQ Legal AI (github.com/sboghossian/mini-claude-for-legal)
version: "1.0"

Import: Skill Optimizer (Lawvable)

What it does

This import adapter migrates a Lawvable skill-optimizer tool into the mini-claude-for-legal standard format. Lawvable is a legal AI platform; its skill optimizer is a quality-assurance layer that evaluates existing skills against defined quality criteria and suggests improvements.

In the mini-claude-for-legal context, the skill optimizer serves as a continuous-improvement tool for the skill library: it identifies skills that are too thin, too generic, or missing jurisdictional coverage, and outputs a prioritised improvement plan.

Import config

Field	Source mapping	Default if absent
optimization_mode	Legacy mode	full (coverage + quality + consistency)
quality_dimensions	Legacy dimensions array	5-dimension model (see below)
jurisdiction_gap_check	Legacy check_jurisdictions boolean	true
output_consistency_check	Legacy check_output boolean	true
min_body_lines	Legacy min_lines	120
max_body_lines	Legacy max_lines	320
scoring_method	Legacy scoring	rubric (per-dimension score)
output_format	Legacy format	optimization_report

Dry-run preview

IMPORT PREVIEW — skill-optimizer-lawvable
Source shape          : Lawvable skill optimizer config
Mode                  : full (coverage + quality + consistency)
Quality dimensions    : 5 (depth, accuracy, jurisdiction, structure, routing)
Jurisdiction gap check: enabled
Output consistency    : enabled
Body line target      : 120–320 lines
Scoring               : rubric (per-dimension)
Output                : optimization_report

Quality dimensions model (post-import)

Dimension 1 — Depth

• Is the skill substantively deeper than a generic description?
• Does every section add information a practitioner would act on?
• Score: 1 (stub) → 5 (expert-grade)

Dimension 2 — Legal accuracy

• Are all statute references verifiable?
• Are jurisdiction attributions correct (common law vs civil law)?
• Score: 1 (unverified/hallucinated) → 5 (fully verified)

Dimension 3 — Jurisdictional coverage

• Does the skill cover the primary relevant jurisdictions?
• Is there a MENA-aware section where relevant?
• Are common-law vs civil-law differences addressed?
• Score: 1 (single jurisdiction only) → 5 (comprehensive multi-jurisdictional)

Dimension 4 — Structure

• Does the skill follow the correct category template?
• Are headings consistent with the enrichment guide?
• Is the YAML frontmatter valid and complete?
• Score: 1 (unstructured) → 5 (perfect template adherence)

Dimension 5 — Routing quality

• Does the description answer "when should Claude reach for this skill?"
• Are intent keywords specific enough to route correctly?
• Is there sufficient discrimination from related skills?
• Score: 1 (too generic to route) → 5 (precisely routable)

Optimization report output

SKILL OPTIMIZATION REPORT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Skill          : [skill name]
Category       : [category]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DIMENSION SCORES
Depth          : [1–5] — [brief finding]
Accuracy       : [1–5] — [brief finding]
Jurisdiction   : [1–5] — [brief finding]
Structure      : [1–5] — [brief finding]
Routing        : [1–5] — [brief finding]
Overall        : [mean score / 5]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
IMPROVEMENT RECOMMENDATIONS (priority order)
1. [specific action] — [expected score impact]
2. ...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PRIORITY FOR ENRICHMENT: HIGH / MEDIUM / LOW

Prioritisation logic

Skills are flagged for enrichment priority as follows:

Condition	Priority
Overall score < 2.0	HIGH — enrich immediately
Missing MENA jurisdictional notes for legal skill	HIGH
Body < 80 lines	HIGH
Jurisdiction score < 2 AND skill is P0/P1	HIGH
Overall score 2.0–3.0	MEDIUM
Body 80–120 lines	MEDIUM
Overall score > 3.0	LOW

Failure modes

Error	Likely cause	Resolution
scoring_dimensions_empty	Legacy had no quality dimensions	Apply default 5-dimension model
min_lines_not_set	No body-length threshold in source	Apply 120/320 targets
jurisdiction_check_disabled	Legacy skipped jurisdiction gap analysis	Enable; critical for MENA deployments
output_format_unstructured	Legacy produced narrative recommendations	Wrap in optimization_report schema

Related skills

• [[import-skill-creator-anthropic]]
• [[import-skill-creator-openai]]
• [[import-tabular-review-lawvable]]
• [[import-outlook-emails-lawvable]]
• [[import-legal-risk-assessment-anthropic]]