selmakcby

selmakcby / knowledge-pipeline

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Terminal-vibe sunum + LLM-Wiki skill'i. Ham sohbetleri, şemayla disipline edilen büyüyen bir wiki'ye dönüştürme deseni.

18
2
100% credibility
Found Apr 18, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
HTML
AI Summary

A presentation, skill pattern, and prompts to guide AI assistants in building a persistent, searchable wiki from raw conversations and notes.

How It Works

1
🔍 Discover Knowledge Pipeline

You stumble upon this handy idea online that turns messy chats into a neat, growing knowledge collection.

2
📱 Open the Presentation

You click to watch a cool, movie-like slideshow that explains everything step by step with fun visuals and videos.

3
🎥 Enjoy the Demo

As you press spacebar to flip through scenes, you get excited seeing how raw notes become a smart wiki right before your eyes.

4
📋 Grab the Skill Guide

You copy the simple instructions and ready-made questions to share with your AI helper.

5
🤖 Ask AI to Build Your Vault

You tell your friendly AI assistant to follow the guide, and it quickly sets up your personal knowledge folder with all the structure you need.

6
➕ Add and Organize Info

You feed in new chats or notes, ask questions to get answers, and run checks to keep everything tidy and connected.

✅ Grow Your Smart Archive

Now you have a living, searchable wiki that grows with you, perfect for learning, projects, or team notes—everything feels organized and powerful.

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Star Growth

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AI-Generated Review

What is knowledge-pipeline?

This HTML project delivers a terminal-styled presentation demoing a knowledge pipeline pattern that transforms raw chats into a schema-disciplined, searchable wiki using LLMs. It provides ready-to-use prompts for knowledge ingestion pipeline ops like ingesting new sources, querying the knowledge base pipeline, and linting for inconsistencies—think ham sohbetleri turned into a büyüyen bir wiki via llm-wiki skill'i. Developers get a copy-paste deseni for building personal or team knowledge graph pipelines without starting from scratch.

Why is it gaining traction?

Its single-file HTML deploy (local open or GitHub Pages) with SPACEbar navigation hooks devs craving quick, visual ci cd pipeline knowledge or gitlab pipeline knowledge alternatives in note-taking. The general-purpose LLM prompts stand out for knowledge extraction pipeline and knowledge graph construction pipeline tasks, configurable for any domain like research or product dev. No setup bloat—just feed to Claude or similar for instant knowledge pipeline dify.

Who should use this?

Solo researchers extracting graphics pipeline knowledge from LLM chats, indie devs maintaining a personal knowledge base pipeline, or small teams discipline edilen wiki for onboarding. Ideal for those using LLMs daily who want a repeatable deseni for knowledge graph pipeline without heavy tools.

Verdict

Worth forking for lightweight LLM-powered wikis (MIT license helps), but at 18 stars and 1.0% credibility score, it's early-stage with basic docs—test in a side project before production. Solid pattern if you're into bir skill'i for growing knowledge pipelines.

(178 words)

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