Knowledge Priming Refiner

Knowledge Priming Refiner is an AI Engineering skill for Claude Code, published by techygarg in lattice.

185 stars13 forkson techygarg/latticeAdded 2026/09/06+1% in starsRepository updated 2026/09/04

agentagent-frameworkagent-skillsagenticagentic-aiclaude-code-pluginclaude-skillsclean-architecturecodexcodex-plugincodex-skillscontext-engineeringcursor-plugindddengineering-enablementgorkkimikimi-codelatticesdlc-workflow

Install in seconds

Install Knowledge Priming Refiner

Copy Knowledge Priming Refiner into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/techygarg/lattice/tree/main/skills/knowledge-priming-refiner ~/.claude/skills/knowledge-priming-refiner

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/techygarg/lattice.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/knowledge-priming-refiner/SKILL.md in techygarg/lattice
Installs to: ~/.claude/skills/knowledge-priming-refiner
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3278 skills

What Knowledge Priming Refiner does

Knowledge Priming Refiner facilitates a structured conversation to create a project-specific knowledge base for AI context. It is used when setting up or revising project context, tech stack details, architecture, trusted sources, and directory layout.

Knowledge Priming Refiner is cataloged under AI Engineering on DirSkills. Knowledge Priming Refiner comes from a repository tagged agent, agent-framework, agent-skills, agentic and agentic-ai.

Documentation

README

Excerpt

Knowledge Priming Refiner

Purpose

This refiner facilitates a structured conversation to create a project-specific knowledge base document. The document captures the project's identity -- its tech stack, architecture, directory layout, and the trusted sources that shaped how the team works. Think of it as answering one question: "What does AI need to know about this project to avoid defaulting to generic internet patterns?"

This is not about how to write good code -- that is handled by the clean-code atom (coding principles), architecture atom (structural rules), and domain-driven-design atom (domain modeling). Knowledge priming covers what those skills cannot know: which framework, which version, which docs to trust, and how the repo is organized.

What This Produces

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Knowledge Priming Refiner

What else does techygarg publish alongside Knowledge Priming Refiner?
Knowledge Priming Refiner is one of 25 skills that DirSkills catalogs from techygarg/lattice, the repository it ships in. Its siblings there include Architecture, Architecture Compass and Architecture Refiner. Each one is a separate skill with its own page in this directory, installs the same way Knowledge Priming Refiner does, and is maintained by techygarg in that same repository. The rest of the collection is listed on the techygarg/lattice page.
How does Knowledge Priming Refiner compare to other AI Engineering skills?
Knowledge Priming Refiner ranks #3019 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Knowledge Priming Refiner against them. Open each page to compare what they document and how they install.