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Team Knowledge Mapper

Commands team 239 Scanned by NVIDIA SkillSpector

Map team knowledge and expertise with skill gap analysis and learning path recommendations

Install Command
npx claude-code-templates@latest --command team/team-knowledge-mapper
View on GitHub
claude-code — team-knowledge-mapper

Scanned by NVIDIA SkillSpector

Automated static analysis (no LLM) · v2.12.0 · 2026-10-23

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scanner score 0/100

SkillSpector looks for patterns such as shell commands, credential access, network calls or unpinned dependencies. An observation is something worth reading in the files before you install, not a confirmed vulnerability. Components that run code locally, like hooks, MCP servers and security tooling, naturally show more of them.

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Content

Team Knowledge Mapper

Map team knowledge and expertise with comprehensive skill gap analysis: $ARGUMENTS

Current Knowledge Context

  • Team expertise: !git log --format='%ae' --since='3 months ago' | sort | uniq -c | sort -nr contributor activity patterns
  • Technology stack: Analysis of languages, frameworks, and tools used in codebase
  • Knowledge distribution: Assessment of expertise concentration and bus factor risks
  • Learning activity: Recent skill development and cross-training initiatives

Task

Execute comprehensive knowledge mapping with skill gap analysis and learning optimization:

Mapping Type: Use $ARGUMENTS to focus on skill matrix creation, knowledge gap identification, expertise area analysis, or learning path recommendations

Knowledge Mapping Framework:

  1. Skill Matrix Creation - Map individual expertise levels, identify core competencies, assess technology proficiencies, evaluate domain knowledge
  2. Knowledge Gap Analysis - Identify critical skill gaps, assess team vulnerabilities, evaluate learning priorities, recommend skill development
  3. Expertise Distribution - Analyze knowledge concentration, identify single points of failure, assess bus factor risks, recommend knowledge sharing
  4. Learning Path Planning - Design skill development roadmaps, recommend training priorities, plan mentorship programs, optimize knowledge transfer
  5. Cross-Training Optimization - Identify pairing opportunities, plan knowledge rotation, design shadowing programs, optimize skill redundancy
  6. Knowledge Retention - Assess knowledge preservation, plan documentation strategies, design knowledge capture systems, prevent expertise loss

Advanced Features: Dynamic skill tracking, expertise prediction modeling, learning ROI analysis, knowledge graph visualization, competency gap forecasting.

Strategic Planning: Succession planning support, hiring decision guidance, team composition optimization, skill portfolio balancing.

Output: Comprehensive knowledge map with skill matrices, gap analysis, learning recommendations, and strategic knowledge management plans.

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