# When Analyzing Skill Gaps Use Skill Gap Analyzer > When Analyzing Skill Gaps Use Skill Gap Analyzer - Skill: `dnyoussef/when-analyzing-skill-gaps-use-skill-gap-analyzer` (Agent Skill, multi-file: 5 files) - Install (CLI): `npx skillmds@latest add dnyoussef/when-analyzing-skill-gaps-use-skill-gap-analyzer` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/when-analyzing-skill-gaps-use-skill-gap-analyzer/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/when-analyzing-skill-gaps-use-skill-gap-analyzer --- /*============================================================================*/ /* WHEN-ANALYZING-SKILL-GAPS-USE-SKILL-GAP-ANALYZER SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: when-analyzing-skill-gaps-use-skill-gap-analyzer version: 1.0.0 description: | [assert|neutral] Analyze skill library to identify coverage gaps, redundant overlaps, optimization opportunities, and provide recommendations for skill portfolio improvement [ground:given] [conf:0.95] [state:confirmed] category: foundry tags: - meta-tool - skill-management - gap-analysis - portfolio-optimization author: ruv cognitive_frame: primary: compositional goal_analysis: first_order: "Execute when-analyzing-skill-gaps-use-skill-gap-analyzer workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic foundry processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "when-analyzing-skill-gaps-use-skill-gap-analyzer", category: "foundry", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Compositional", source: "German", force: "Build from primitives?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["when-analyzing-skill-gaps-use-skill-gap-analyzer", "foundry", "workflow"], context: "user needs when-analyzing-skill-gaps-use-skill-gap-analyzer capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ ## Skill Execution Criteria ### When to Use This Skill - [AUTO-EXTRACTED from skill description and content] - [Task patterns this skill is optimized for] - [Workflow contexts where this skill excels] ### When NOT to Use This Skill - [Situations where alternative skills are better suited] - [Anti-patterns that indicate wrong skill choice] - [Edge cases this skill doesn't handle well] ### Success Criteria - primary_outcome: "[SKILL-SPECIFIC measurable result based on skill purpose]" - [assert|neutral] quality_threshold: 0.85 [ground:acceptance-criteria] [conf:0.90] [state:provisional] - verification_method: "[How to validate skill executed correctly and produced expected outcome]" ### Edge Cases - case: "Ambiguous or incomplete input" handling: "Request clarification, document assumptions, proceed with explicit constraints" - case: "Conflicting requirements or constraints" handling: "Surface conflict to user, propose resolution options, document trade-offs" - case: "Insufficient context for quality execution" handling: "Flag missing information, provide template for needed context, proceed with documented limitations" ### Skill Guardrails NEVER: - "[SKILL-SPECIFIC anti-pattern that breaks methodology]" - "[Common mistake that degrades output quality]" - "[Shortcut that compromises skill effectiveness]" ALWAYS: - "[SKILL-SPECIFIC requirement for successful execution]" - "[Critical step that must not be skipped]" - "[Quality check that ensures reliable output]" ### Evidence-Based Execution self_consistency: "After completing this skill, verify output quality by [SKILL-SPECIFIC validation approach]" program_of_thought: "Decompose this skill execution into: [SKILL-SPECIFIC sequential steps]" plan_and_solve: "Plan: [SKILL-SPECIFIC planning phase] -> Execute: [SKILL-SPECIFIC execution phase] -> Verify: [SKILL-SPECIFIC verification phase]" # Skill Gap Analyzer ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. **Purpose:** Perform comprehensive analysis of skill library to identify missing capabilities, redundant functionality, optimization opportunities, and provide actionable recommendations for skill portfolio improvement. ## When to Use This Skill - When building a new skill library - Quarterly skill portfolio reviews - Before large refactoring efforts - When considering new skill additions - After major project pivots - When optimizing resource allocation ## Analysis Dimensions ### 1. Coverage Gap Analysis - Domain coverage mapping - Missing capability identification - Use case scenario testing - Workflow completeness assessment - Integration point analysis ### 2. Redundancy Detection - Duplicate functionality identification - Overlapping capability mapping - Consolidation opportunity analysis - Version conflict detection - Naming collision identification ### 3. Optimization Opportunities - Under-utilized skill detection - Over-complex skill identification - Composability improvement suggestions - Dependency optimization - Performance bottleneck analysis ### 4. Usage Pattern Analysis - Frequency metrics - Co-occurrence patterns - Success rate tracking - Token efficiency measurement - Agent utilization patterns ### 5. Recommendation Generation - Prioritized action items - Consolidation strategies - New skill proposals - Deprecation candidates - Restructuring plans ## Execution Process ### Phase 1: Library Inventory ```bash # Initialize analysis session npx claude-flow@alpha hooks pre-task --description "Analyzing skill library gaps" # Scan skill directories find ~/.claude/skills -name "SKILL.md" -o -name "*.skill.md" ``` **Inventory Script:** ```javascript function inventorySkills(skillDirectory) { const inventory = { totalSkills: 0, categories: {}, capabilities: {}, agents: {}, complexity: {}, tags: {} }; // Parse each SKILL.md file const skillFiles = findSki /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/foundry/when-analyzing-skill-gaps-use-skill-gap-analyzer/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "when-analyzing-skill-gaps-use-skill-gap-analyzer-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] WHEN_ANALYZING_SKILL_GAPS_USE_SKILL_GAP_ANALYZER_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]