memora
Use when working with persistent memory across sessions, storing/retrieving knowledge, managing TODOs/issues, or when context from previous sessions would be helpful.
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=agentic-box-memora-claude-plugin-skills-memora-skill-md&format=skill
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Standard format with system_prompt and model_config, ready for any agent framework
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name memora description Use when working with persistent memory across sessions, storing/retrieving knowledge, managing TODOs/issues, or when context from previous sessions would be helpful. version 0.2.20 Memora - Persistent Semantic Memory Memora is the persistent memory system for this environment. Use memora MCP tools to store, search, and organize knowledge across sessions. When to Use Session start : Relevant memories are auto-injected via hook Storing decisions : Use memory_create to save architectural decisions, patterns, preferences Finding context : Use memory_hybrid_search to find relevant past work Tracking work : Use memory_create_todo / memory_create_issue for task tracking Organizing knowledge : Use memory_hierarchy to browse organized memories Core Tools Creating Memories memory_create - Store a new memory (auto-deduplicates, suggests hierarchy) memory_create_todo - Create a TODO with priority (high/medium/low) memory_create_issue - Create an issue with severity (critical/major/minor) memory_create_section - Create organizational headers memory_create_batch - Bulk create multiple memories Searching memory_hybrid_search - Best search: combines keyword + semantic (use this by default) memory_semantic_search - Pure vector similarity search memory_list - List/filter by tags, dates, metadata memory_list_compact - Lightweight listing (id, preview, tags only) Organizing memory_hierarchy - View memories in section/subsection tree memory_tags - List allowed tags memory_tag_hierarchy - View tag namespace tree memory_link - Create typed relationships between memories memory_clusters - Detect related memory clusters Maintenance memory_find_duplicates - Find and review potential duplicates (LLM-powered) memory_merge - Merge two memories together memory_insights - Get activity summary, stale items, patterns memory_stats - Database statistics memory_boost - Increase a memory's importance ranking Visualization Knowledge graph available at http://localhost:8765 when running memory_export_graph - Export as interactive HTML file Tag Conventions Use hierarchical tags with / separators: memora/knowledge - General knowledge memora/todos - Task items memora/issues - Bug/issue tracking memora/auto-capture - Auto-captured content memora/sections - Organizational headers project-name/topic - Project-specific tags Best Practices Search before creating - avoid duplicates Use metadata for structured data ( section , subsection , project ) Tag consistently - use hierarchical tags Boost important memories - they rank higher in searches Use hybrid search as default - it combines keyword + semantic Review insights periodically - find stale items and consolidation opportunities Auto-Capture When MEMORA_AUTO_CAPTURE=true is set, the PostToolUse hook automatically captures: Git commits (appended to per-project commit log) Test results (failures become issues) Web research (GitHub repos, documentation) Documentation edits (README, CHANGELOG, etc.)
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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