Save, search, and retrieve tagged project learnings as JSON files.
npx skills add https://github.com/Houseofmvps/ultraship --skill learn-houseofmvps
Please help me install this Agent Skill. Skill: learn Source: https://github.com/Houseofmvps/ultraship/tree/main/skills/learn Command: npx skills add https://github.com/Houseofmvps/ultraship --skill learn-houseofmvps
This Skill solves the critical problem of lost project context between coding sessions, where valuable insights like debugging root causes, architecture decisions, deployment gotchas, and performance findings are forgotten, leading to repeated mistakes, wasted debugging time, and redundant work across team members.
Use the learn skill to save the root cause and fix for the recent deployment issue you resolved on Railway, tagged with 'deployment' and 'railway' for future retrieval.
High-intent search queries and answers about installing and using this skill.
To preserve debugging insights across coding sessions, you can capture and organize learnings as tagged JSON files. This structured approach prevents repeated mistakes by retaining institutional context like deployment gotchas and root causes for future ranked recall.
Ranked knowledge recall surfaces the most relevant prior learnings for a given topic based on relevance and recency. This mechanism prevents dumping the entire knowledge base into context, ensuring only the most applicable debugging insights are loaded.
Yes, this approach applies to capturing, organizing, and retrieving learnings for both individual developers and engineering teams. It preserves institutional context for long-lived software projects, preventing redundant work across team members.
The best way to share project learnings is to generate a compressed, topic-grouped digest or use export options. This allows you to distribute knowledge or back up institutional context before major refactors.
You prevent repeated debugging mistakes by saving categorized, tagged learnings for insights that cannot be derived from code alone. The system automatically surfaces these past root causes and fixes the next time you work on related code.
Yes, this knowledge management approach stores learnings as tagged JSON files specifically within the project's .ultraship/learnings directory. This structured storage enables save, search, prune, and export operations for your engineering insights.
JeroTanFormat and validate novel content for Cloudflare R2 uploads.
mkrueger12Read project session context from .sessions/index.md.
yebotCategorize session learnings into taxonomy types and route them to memory files.
dallenpyrahSearch, create, and link notes in Obsidian vaults using wikilinks.
