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117
.gemini/skills/bmad-workflow-builder/assets/SKILL-template.md
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.gemini/skills/bmad-workflow-builder/assets/SKILL-template.md
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---
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name: bmad-{module-code-or-empty}{skill-name}
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description: {skill-description} # Format: [5-8 word summary]. [trigger phrase, e.g. Use when user says "create xyz"]
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---
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# {skill-name}
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## Overview
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{overview-template}
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{if-simple-utility}
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## Input
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{input-format-description}
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## Process
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{processing-steps}
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## Output
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{output-format-description}
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{/if-simple-utility}
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{if-simple-workflow}
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Act as {role-guidance}.
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## On Activation
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{if-bmad-init}
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1. **Load config via bmad-init skill** — Store all returned vars for use:
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- Use `{user_name}` from config for greeting
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- Use `{communication_language}` for all communications
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{if-creates-docs}- Use `{document_output_language}` for output documents{/if-creates-docs}
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2. **Greet user** as `{user_name}`, speaking in `{communication_language}`
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{/if-bmad-init}
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3. **Proceed to workflow steps below**
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## Workflow Steps
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### Step 1: {step-1-name}
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{step-1-instructions}
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### Step 2: {step-2-name}
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{step-2-instructions}
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### Step 3: {step-3-name}
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{step-3-instructions}
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{/if-simple-workflow}
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{if-complex-workflow}
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Act as {role-guidance}.
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{if-headless}
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## Activation Mode Detection
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**Check activation context immediately:**
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1. **Headless mode**: If the user passes `--headless` or `-H` flags, or if their intent clearly indicates non-interactive execution:
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- Skip questions, proceed with safe defaults, output structured results
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- If `--headless:{task-name}` → run that specific task headless mode
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- If just `--headless` → run default headless behavior
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2. **Interactive mode** (default): Proceed to `## On Activation` section below
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{/if-headless}
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## On Activation
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{if-bmad-init}
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1. **Load config via bmad-init skill** — Store all returned vars for use:
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- Use `{user_name}` from config for greeting
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- Use `{communication_language}` for all communications
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{if-creates-docs}- Use `{document_output_language}` for output documents{/if-creates-docs}
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- Store any other config variables as `{var-name}` and use appropriately
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2. **Greet user** as `{user_name}`, speaking in `{communication_language}`
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{/if-bmad-init}
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3. **Check if workflow in progress:**
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- If output doc exists (user specifies path or we prompt):
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- Read doc to determine current stage
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- Resume from last completed stage
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- Else: Start at `01-{stage-1-name}.md`
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4. **Route to appropriate stage** based on progress
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{if-headless}
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**Headless mode routing:**
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- Default: Run all stages sequentially with safe defaults
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- Named task: Execute specific stage or task
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- Output structured JSON results when complete
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{/if-headless}
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## Stages
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| # | Stage | Purpose | Prompt |
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|---|-------|---------|--------|
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| 1 | {stage-1-name} | {stage-1-purpose} | `01-{stage-1-name}.md` |
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| 2 | {stage-2-name} | {stage-2-purpose} | `02-{stage-2-name}.md` |
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{/if-complex-workflow}
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{if-external-skills}
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## External Skills
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This workflow uses:
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{external-skills-list}
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{/if-external-skills}
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{if-scripts}
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## Scripts
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Available scripts in `scripts/`:
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- `{script-name}` — {script-description}
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{/if-scripts}
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# Quality Report: {skill-name}
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**Scanned:** {timestamp}
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**Skill Path:** {skill-path}
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**Report:** {report-file-path}
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**Performed By** QualityReportBot-9001 and {user_name}
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## Executive Summary
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- **Total Issues:** {total-issues}
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- **Critical:** {critical} | **High:** {high} | **Medium:** {medium} | **Low:** {low}
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- **Overall Quality:** {Excellent|Good|Fair|Poor}
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- **Overall Cohesion:** {cohesion-score}
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- **Craft Assessment:** {craft-assessment}
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<!-- Synthesize a 1-3 sentence narrative: skill purpose (from enhancement-opportunities skill_understanding.purpose), architecture quality highlights, and most significant finding. -->
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{executive-narrative}
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### Issues by Category
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| Category | Critical | High | Medium | Low |
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|----------|----------|------|--------|-----|
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| Structural | {n} | {n} | {n} | {n} |
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| Prompt Craft | {n} | {n} | {n} | {n} |
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| Cohesion | {n} | {n} | {n} | {n} |
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| Efficiency | {n} | {n} | {n} | {n} |
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| Quality | {n} | {n} | {n} | {n} |
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| Scripts | {n} | {n} | {n} | {n} |
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| Creative | — | — | {n} | {n} |
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---
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## Strengths
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*What this skill does well — preserve these during optimization:*
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<!-- Collect from ALL of these sources:
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- All scanners: findings[] with severity="strength" or category="strength"
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- prompt-craft: findings where severity="note" and observation is positive
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- prompt-craft: positive aspects from assessments.skillmd_assessment.notes
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- enhancement-opportunities: bright_spots from each assessments.user_journeys[] entry
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Group by theme. Each strength should explain WHY it matters. -->
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{strengths-list}
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---
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{if-truly-broken}
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## Truly Broken or Missing
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*Issues that prevent the workflow/skill from working correctly:*
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<!-- Every CRITICAL and HIGH severity issue from ALL scanners. Maximum detail: description, affected files/lines, fix instructions. These are the most actionable part of the report. -->
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{truly-broken-findings}
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---
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{/if-truly-broken}
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## Detailed Findings by Category
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### 1. Structural
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<!-- Source: workflow-integrity-temp.json -->
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{if-stage-summary}
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**Stage Summary:** {total-stages} stages | Missing: {missing-stages} | Orphaned: {orphaned-stages}
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{/if-stage-summary}
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<!-- List findings by severity: Critical > High > Medium > Low. Omit empty severity levels. -->
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{structural-findings}
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### 2. Prompt Craft
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<!-- Source: prompt-craft-temp.json -->
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**Skill Assessment:**
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- Overview quality: {overview-quality}
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- Progressive disclosure: {progressive-disclosure}
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- {skillmd-assessment-notes}
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{if-prompt-health}
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**Prompt Health:** {prompts-with-config-header}/{total-prompts} with config header | {prompts-with-progression}/{total-prompts} with progression conditions | {prompts-self-contained}/{total-prompts} self-contained
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{/if-prompt-health}
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{prompt-craft-findings}
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### 3. Cohesion
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<!-- Source: skill-cohesion-temp.json -->
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{if-cohesion-analysis}
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**Cohesion Analysis:**
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<!-- Include only dimensions present in scanner output. -->
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| Dimension | Score | Notes |
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|-----------|-------|-------|
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| Stage Flow Coherence | {score} | {notes} |
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| Purpose Alignment | {score} | {notes} |
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| Complexity Appropriateness | {score} | {notes} |
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| Stage Completeness | {score} | {notes} |
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| Redundancy Level | {score} | {notes} |
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| Dependency Graph | {score} | {notes} |
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| Output Location Alignment | {score} | {notes} |
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| User Journey | {score} | {notes} |
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{/if-cohesion-analysis}
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{cohesion-findings}
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{if-creative-suggestions}
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**Creative Suggestions:**
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<!-- From findings[] with severity="suggestion". Each: title, detail, action. -->
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{creative-suggestions}
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{/if-creative-suggestions}
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### 4. Efficiency
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<!-- Source: execution-efficiency-temp.json -->
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{efficiency-issue-findings}
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{if-efficiency-opportunities}
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**Optimization Opportunities:**
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<!-- From findings[] with severity ending in -opportunity. Each: title, detail (includes type/savings narrative), action. -->
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{efficiency-opportunities}
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{/if-efficiency-opportunities}
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### 5. Quality
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<!-- Source: path-standards-temp.json, scripts-temp.json -->
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{quality-findings}
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### 6. Scripts
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<!-- Source: scripts-temp.json AND script-opportunities-temp.json. Merge and deduplicate across both. -->
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{if-script-inventory}
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**Script Inventory:** {total-scripts} scripts ({by-type-breakdown}) | Missing tests: {missing-tests-list}
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{/if-script-inventory}
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{script-issue-findings}
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{if-script-opportunities}
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**Script Opportunity Findings:**
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<!-- From script-opportunities-temp.json findings[]. These identify LLM work that should be scripts.
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Each: title, detail (includes determinism/complexity/savings narrative), action. -->
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{script-opportunities}
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**Token Savings:** {total-estimated-token-savings} | Highest value: {highest-value-opportunity} | Prepass opportunities: {prepass-count}
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{/if-script-opportunities}
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### 7. Creative (Edge-Case & Experience Innovation)
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<!-- Source: enhancement-opportunities-temp.json. These are advisory suggestions, not errors. -->
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**Skill Understanding:**
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- **Purpose:** {skill-purpose}
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- **Primary User:** {primary-user}
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- **Key Assumptions:**
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{key-assumptions-list}
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**Enhancement Findings:**
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<!-- Organize by: high-opportunity > medium-opportunity > low-opportunity.
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Each: title, detail, action. -->
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{enhancement-findings}
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{if-top-insights}
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**Top Insights:**
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<!-- From enhancement-opportunities assessments.top_insights[]. These are the synthesized highest-value observations.
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Each: title, detail, action. -->
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{top-insights}
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{/if-top-insights}
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---
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{if-user-journeys}
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## User Journeys
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*How different user archetypes experience this skill:*
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<!-- From enhancement-opportunities user_journeys[]. Reproduce EVERY archetype fully. -->
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### {archetype-name}
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{journey-summary}
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**Friction Points:**
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{friction-points-list}
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**Bright Spots:**
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{bright-spots-list}
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<!-- Repeat for ALL archetypes. Do not skip any. -->
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---
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{/if-user-journeys}
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{if-autonomous-assessment}
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## Autonomous Readiness
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<!-- From enhancement-opportunities autonomous_assessment. Include ALL fields. -->
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- **Overall Potential:** {overall-potential}
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- **HITL Interaction Points:** {hitl-count}
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- **Auto-Resolvable:** {auto-resolvable-count}
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- **Needs Input:** {needs-input-count}
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- **Suggested Output Contract:** {output-contract}
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- **Required Inputs:** {required-inputs-list}
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- **Notes:** {assessment-notes}
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---
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{/if-autonomous-assessment}
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## Quick Wins (High Impact, Low Effort)
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<!-- Pull from ALL scanners: findings where fix effort is trivial/low but impact is meaningful. -->
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| Issue | File | Effort | Impact |
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|-------|------|--------|--------|
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{quick-wins-rows}
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---
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## Optimization Opportunities
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<!-- Synthesize across scanners — not a copy of findings but a narrative of improvement themes. -->
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**Prompt Craft:**
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{prompt-optimization-narrative}
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**Performance:**
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{performance-optimization-narrative}
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**Maintainability:**
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{maintainability-optimization-narrative}
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---
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## Recommendations
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<!-- Rank by: severity first, then breadth of impact, then effort (prefer low-effort). Up to 5. -->
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1. {recommendation-1}
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2. {recommendation-2}
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3. {recommendation-3}
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4. {recommendation-4}
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5. {recommendation-5}
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