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knowledge-management

Universal knowledge storage and retrieval patterns using memory graph

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jr2804/mcp-config-converter
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9 de enero de 2026 a las 00:36
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SKILL.md
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name
knowledge-management
description
Universal knowledge storage and retrieval patterns using memory graph
license
MIT
compatibility
opencode
metadata
{"related_issue_tracking":"For tracking knowledge-related tasks, use skill `issue-tracking`","related_mcp_servers":"For MCP server integration, use skill `mcp-servers`"}
# Knowledge Management ## What I Do Provide universal patterns for storing, retrieving, and managing project knowledge across different contexts and projects. ## Universal Knowledge Management Patterns ### Memory Storage Triggers Store memories on these universal events: - **Solution implementation** → Problem + solution + context - **Bug fix** → Root cause + fix + prevention - **Architecture decision** → Options + choice + rationale - **Pattern discovery** → Reusable approach + examples ### Memory Structure ```yaml # Universal memory fields memory: type: solution | problem | code_pattern | fix | error | workflow title: "Specific, searchable title (not generic)" content: "Detailed explanation with context" tags: ["project-agnostic", "universal", "pattern"] importance: 0.8 # 0.8+ critical, 0.5-0.7 standard, 0.3-0.4 minor relationships: ["SOLVES:problem-1", "RELATED_TO:pattern-5"] ``` ### Universal Recall Patterns ```python # Universal knowledge recall from memorygraph import recall_memories, search_memories # Fuzzy recall for conceptual queries results = recall_memories( query="timeout handling patterns", memory_types=["solution", "pattern"] ) # Exact search for specific terms exact_results = search_memories( tags=["timeout", "pattern"], min_importance=0.7 ) ``` ## When to Use Me Use this skill when: - Implementing cross-project knowledge sharing - Creating reusable solution patterns - Standardizing documentation practices - Building organizational memory systems ## Universal Integration Examples ### Cross-Project Knowledge Sharing ```python # Universal knowledge storage store_memory( type="code_pattern", title="Universal timeout handling pattern", content=""" def with_timeout(func, timeout=5, default=None): try: return func() except TimeoutError: return default """, tags=["python", "timeout", "pattern", "universal"], importance=0.9 ) ``` ### Solution Relationships ```python # Universal relationship mapping create_relationship( from_memory_id="solution-timeout-pattern", to_memory_id="problem-slow-api", relationship_type="SOLVES", context="Pattern addresses API timeout issues" ) ``` ## Best Practices 1. **Tagging**: Use consistent tags across projects for discoverability 1. **Importance**: Standardize importance scoring system 1. **Relationships**: Link related knowledge across projects 1. **Maintenance**: Regular knowledge base cleanup and organization ## Compatibility Designed for: - Cross-project knowledge management - Organizational learning systems - Reusable pattern libraries - Universal documentation standards
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