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기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/MikeTreml/MissionControl --skill knowledge-analytics명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
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SOC 직업 분류 기준
SKILL.md 표시 중
| name | knowledge-analytics |
| description | Knowledge base analytics, usage reporting, and effectiveness measurement |
| allowed-tools | ["Read","Write","Glob","Grep","Bash","WebFetch"] |
| metadata | {"specialization":"knowledge-management","domain":"business","category":"Analytics","skill-id":"SK-019"} |
The Knowledge Analytics skill provides comprehensive capabilities for measuring, analyzing, and reporting on knowledge management effectiveness. This skill enables organizations to understand how knowledge is being used, identify gaps, and continuously improve their knowledge management initiatives through data-driven insights.
This skill integrates with:
task: Set up knowledge base analytics
skill: knowledge-analytics
parameters:
platform: google-analytics
tracking:
page_views: true
engagement_time: true
scroll_depth: true
search_queries: true
custom_dimensions:
- content_type
- topic_category
- content_owner
task: Analyze content effectiveness
skill: knowledge-analytics
parameters:
time_range: 90d
metrics:
- views
- unique_visitors
- avg_time_on_page
- bounce_rate
- helpful_votes
segmentation: content_type
output: content-effectiveness-report.pdf
task: Analyze search performance
skill: knowledge-analytics
parameters:
data_source: search-logs
analysis:
- zero_result_queries
- low_click_queries
- refinement_patterns
- popular_queries
time_range: 30d
recommendations: true
task: Identify knowledge gaps
skill: knowledge-analytics
parameters:
sources:
- search_logs
- support_tickets
- user_feedback
gap_types:
- missing_content
- outdated_content
- low_quality_content
output: gap-analysis-report.md
task: Calculate knowledge management ROI
skill: knowledge-analytics
parameters:
metrics:
- ticket_deflection
- time_saved
- cost_avoidance
- productivity_gain
baseline_period: previous_year
cost_inputs:
avg_support_ticket_cost: 50
avg_employee_hourly_rate: 75
| KPI | Description | Benchmark |
|---|---|---|
| Monthly Active Users | Unique users accessing KB | Growth > 5% MoM |
| Page Views per Session | Average pages viewed | > 2.5 |
| Search Usage Rate | % users using search | > 60% |
| Return Visitor Rate | % returning users | > 40% |
| KPI | Description | Benchmark |
|---|---|---|
| Content Freshness | % content updated in 90d | > 30% |
| Content Coverage | Topics with content | > 85% |
| Helpful Rating | % positive feedback | > 80% |
| Time to Resolution | Avg time to find answer | < 3 min |
| KPI | Description | Benchmark |
|---|---|---|
| Zero-Result Rate | % searches with no results | < 5% |
| Search Success Rate | % searches leading to click | > 70% |
| Refinement Rate | % queries requiring refinement | < 20% |
| Top-3 Click Rate | % clicking top 3 results | > 60% |
| KPI | Description | Benchmark |
|---|---|---|
| Ticket Deflection Rate | % tickets avoided | > 20% |
| Self-Service Rate | % issues resolved via KB | > 50% |
| Onboarding Time Reduction | Time saved in onboarding | > 30% |
| Knowledge Reuse Rate | % content reused | > 40% |