Query and manage lessons learned from RCA reports by severity, tag, or category.
npx skills add https://github.com/RussianLioN/moltinger --skill lessons-russianlion
Please help me install this Agent Skill. Skill: lessons Source: https://github.com/RussianLioN/moltinger/tree/main/.claude/skills/lessons Command: npx skills add https://github.com/RussianLioN/moltinger --skill lessons-russianlion
This Skill provides a natural language interface to query and manage lessons learned from Root Cause Analysis (RCA) reports, preventing recurring issues.
Use the lessons skill to show all lessons related to docker.
High-intent search queries and answers about installing and using this skill.
You can search RCA lessons learned by querying through natural language commands. The Skill filters lessons by severity, tag, or category, allowing you to retrieve relevant incident response knowledge before starting a new task.
Querying specific deployment failures uses natural language commands to search the lessons learned index by category or tag. This retrieves relevant RCA documentation to help you avoid repeating past mistakes during new deployments.
You can rebuild the lessons index by executing deterministic bash scripts provided by the Skill. This regenerates the knowledge management index from your RCA reports to ensure all recent incident response documentation is searchable.
Yes, you can query RCA lessons learned using natural language commands. The Skill interprets your plain text queries to search the knowledge management index by severity, tag, or category without requiring manual database syntax.
No external dependencies are required to manage RCA documentation. The Skill operates independently using internal scripts and references to query lessons learned and rebuild the index from root cause analysis reports.
You should rebuild the lessons learned index when new RCA reports are added or documentation is updated. Running the index generation bash scripts ensures your knowledge management system accurately reflects the latest incident response data for querying.
haomingzGenerate structured blameless postmortems from incident data in Markdown.
carlkiblerAnalyze failure incidents to identify root causes and generate lessons learned.
Gaku52Capture and organize incident lessons into a centralized knowledge base.
unblockedSearch documentation sources using natural language queries via CLI.
