Capture coding insights to the gobby-memory MCP server with duplicate checks.
npx skills add https://github.com/GobbyAI/gobby --skill proactive-memory
Please help me install this Agent Skill. Skill: proactive-memory Source: https://github.com/GobbyAI/gobby/tree/main/src/gobby/install/shared/skills/proactive-memory Command: npx skills add https://github.com/GobbyAI/gobby --skill proactive-memory
Proactive-memory helps developers avoid losing valuable coding insights by guiding when to save them and routing them to the gobby-memory MCP server.
Identify a valuable moment in your current session and save it by calling gobby-memory.create_memory with content describing the insight, a memory_type (e.g., "fact" or "pattern"), and appropriate tags.
High-intent search queries and answers about installing and using this skill.
Proactive memory capture involves saving valuable coding insights during development by calling gobby-memory.create_memory with descriptive content, a memory_type like fact or pattern, and relevant tags for quick retrieval.
You should save a coding pattern or fact to memory management systems when encountering debugging breakthroughs, architecture decisions, API quirks, or environment gotchas to accelerate future development work.
To avoid saving duplicate coding insights, perform a duplicate check using the search_memories function before routing new facts or patterns to the gobby-memory MCP server via create_memory.
Yes, proactive memory capture supports saving environment gotchas and API quirks by creating memory entries with specific content, categorizing them as fact or pattern memory types, and adding actionable tags.
The mechanism focuses strictly on guiding when to save valuable insights and routing them to gobby-memory, meaning it relies on identifying high-value moments like architecture decisions rather than automatically recording entire coding sessions.
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