Store and retrieve cross-session project learnings with structured memory taxonomy.
npx skills add https://github.com/bizzybae/qstack --skill qstack-memory
Please help me install this Agent Skill. Skill: qstack-memory Source: https://github.com/bizzybae/qstack/tree/main/skills/qstack-memory Command: npx skills add https://github.com/bizzybae/qstack --skill qstack-memory
Structured cross-session project knowledge for qstack. This skill standardizes how learnings, preferences, and patterns are captured and reused across sessions and devices to prevent repeated mistakes and to accelerate onboarding.
Start by memory_search for your project learnings, then use memory_update to store new insights after completing work.
High-intent search queries and answers about installing and using this skill.
You can store and retrieve cross-session learnings using a structured memory taxonomy with project, pattern, pitfall, and preference tags, enabling persistent memory updates and cross-session search across devices.
The best way to structure project memory for codebase patterns and pitfalls is applying a taxonomy with tags like project:, pattern:, pitfall:, preference:, decision:, and codebase: to categorize learnings for efficient retrieval.
Yes, you can automatically save project learnings at the end of a coding session through automatic end-of-skill learning captures, which build a growing memory database of patterns and decisions without manual intervention.
Cross-session memory search works by querying a structured taxonomy of stored project learnings to surface past insights, patterns, and preferences when you start a new task across different sessions and devices.
Yes, cross-session memory taxonomy supports exporting summaries of project learnings to share with teammates, accelerating onboarding by transferring structured knowledge of patterns and decisions.
You should use explicit memory lifecycle controls for codebase learnings when you need to manually manage, update, or delete structured taxonomy entries to keep your persistent cross-session memory accurate and relevant.
ArtyMcLabinGenerate a structured retrospective template from session notes after mistakes.
tony30552001Index and retrieve cross-session learnings from the gstack store.
brittAnalyzes project codebase structure, architecture, key files, and dependencies via filesystem scanning tools.
iankikuAnalyzes commits, pull requests, and team discussions to compile a project memory file.
