Manage project learnings by submitting, reviewing, and deprecating YAML insights.
npx skills add https://github.com/virkt25/sniper --skill sniper-learn
Please help me install this Agent Skill. Skill: sniper-learn Source: https://github.com/virkt25/sniper/tree/main/packages/core/skills/sniper-learn Command: npx skills add https://github.com/virkt25/sniper --skill sniper-learn
This Skill helps manage and improve AI agent performance by capturing, reviewing, and deprecating project learnings, ensuring continuous improvement and knowledge sharing.
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High-intent search queries and answers about installing and using this skill.
Manage project memory for AI agents by submitting insights, reviewing existing knowledge, and deprecating outdated information. This maintains an accurate knowledge base that facilitates continuous improvement and prevents recurring bugs.
Record and deprecate project learnings by writing insights to YAML files in a dedicated memory directory and invoking a memory-curator agent. This enables contradiction detection and staleness checks to maintain an accurate knowledge base.
Contradiction detection works by reviewing submitted learnings against the existing knowledge store to identify conflicting insights. This allows the system to validate accuracy and resolve discrepancies before consolidating project memory.
Yes, you can use YAML files to store AI agent project learnings. The system writes insights to a dedicated memory directory and performs staleness checks to automatically identify and deprecate outdated or incorrect information.
Perform a staleness check when reviewing existing project learnings to ensure they remain accurate and relevant. This identifies outdated insights that should be deprecated to maintain an effective project memory for AI agents.
The system operates by writing YAML files to a memory directory and can potentially invoke a memory-curator agent. This agent facilitates knowledge consolidation, contradiction detection, and the review of submitted project learnings.
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