Append project insights to monthly knowledge or lessons files.
npx skills add https://github.com/alo-exp/silver-bullet --skill silver-rem
Please help me install this Agent Skill. Skill: silver-rem Source: https://github.com/alo-exp/silver-bullet/tree/main/forge/skills/silver-rem Command: npx skills add https://github.com/alo-exp/silver-bullet --skill silver-rem
This skill helps teams capture a knowledge or lessons insight and organize it into project-specific or portable monthly documentation, ensuring critical learnings are preserved and discoverable.
Capture an insight and append it to the current month's knowledge or lessons document.
High-intent search queries and answers about installing and using this skill.
To capture project insights into monthly documentation, you append learnings to a structured monthly file. The system routes content to docs/knowledge/YYYY-MM.md or docs/lessons/YYYY-MM.md based on whether the insight is project-specific or portable.
Organizing retrospective notes into knowledge management files involves categorizing insights as project-specific or portable. The content is then appended to structured monthly markdown files with clear provenance and header metadata for discoverability.
Appending lessons learned to a monthly markdown file works by creating or updating the target YYYY-MM.md file. When a new monthly file is first created, the system automatically updates the knowledge index to reflect the new entry.
Yes, you can use this for architecture reviews and design decisions, as well as retrospectives and ongoing project work. It classifies each insight and routes it to the appropriate monthly knowledge or lessons document.
No, capturing project learnings does not require an existing knowledge index. The system creates the monthly file when needed and automatically updates docs/knowledge/INDEX.md when a new file is first generated.
Project-specific knowledge is routed to docs/knowledge/YYYY-MM.md, while portable lessons are routed to docs/lessons/YYYY-MM.md. This separation ensures critical learnings are preserved and discoverable based on their applicability scope.
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