build-knowledge-base

Capture and organize reusable learnings into a tagged, linked personal knowledge base.

1|Updated Jul 13, 2026
One-click install
npx skills add https://github.com/dineshrevunuru/SuperSkills --skill build-knowledge-base-dineshrevunuru
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: build-knowledge-base
Source: https://github.com/dineshrevunuru/SuperSkills/tree/main/build-knowledge-base
Command: npx skills add https://github.com/dineshrevunuru/SuperSkills --skill build-knowledge-base-dineshrevunuru

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Hard-won fixes, decisions, and patterns often die in chat logs or scratch files, forcing you to re-derive solutions you already found. This Skill captures each learning as a tagged, linked, provenance-backed note in the right home so you retrieve it in seconds instead of re-solving it in hours. ## Core Features & Use Cases - Structured knowledge nuggets: Each learning is stored with a 4-axis tag taxonomy, mandatory provenance (where, when, link), confidence level, status, and cross-links to related notes and index/hub notes. - Content-routed storage: Visual knowledge (teardowns, pattern boards) goes to Figma/FigJam; written knowledge (fixes, decisions, snippets) goes to Docs/Markdown, with one identical tag taxonomy across both homes. - Retrieve-before-rebuild gate: Before solving a problem or starting a build, query the knowledge base across tags and full-text; reuse hits, extend partials, and capture misses on the way out. - Use Case: After fixing a Next.js hydration mismatch, you file a tagged nugget with the commit link. Two months later, before wiring a theme toggle, a quick search surfaces the note and you apply the guard immediately instead of re-debugging. ## Quick Start Save this fix to my knowledge base with tags and a link to the commit so I can find it next time.

Frequently Asked Questions about build-knowledge-base

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a personal knowledge base for reusable learnings?

Capture each learning as an atomic note with tags on four axes, a provenance line (where, when, link), and a link into an index or hub note. Keep capture cost near zero with one appendable doc and one board rather than an elaborate taxonomy upfront.

What is the difference between a knowledge base and a research repository?

A knowledge base stores personal knowledge sourced to commits, threads, or your own experience, while a research repository stores findings sourced to participants or studies. Both use the same nugget model and 4-axis tag taxonomy so one query can search across them.

Should I store notes in Figma or in Docs and Markdown?

Route by content type: visual and spatial material like teardowns and pattern boards goes to Figma or FigJam, while written material like fixes, decisions, and snippets goes to Docs or Markdown. Keep the tag taxonomy identical across both so cross-content search returns everything.

When should I search my knowledge base before starting work?

Search before solving any problem, making a decision, or starting a build. Query across the tag axes and full-text; reuse confirmed hits, extend partial matches with the delta, and capture new work back into the base afterward.

What should I do with outdated notes in a knowledge base?

Flip the note's status to Superseded when the flow, pattern, or API it describes has changed, and never delete it. The audit trail is the point, and a stale note presented as current is worse than no note.