knowledge-priming-refiner SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

knowledge-priming-refiner from techygarg/lattice is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add techygarg/lattice/knowledge-priming-refiner@git:20260903.83fa756

Pins git:20260903.83fa756 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
techygarg/lattice
Path
source/refiners/knowledge-priming-refiner/SKILL.md
Versions recorded
1
Latest version
git:20260903.83fa756, committed Sep 3, 2026
Size
7,552 bytes
Repository stars
206
License
MIT

Facilitate a structured conversation to create a project-specific knowledge base document. Produces a knowledge-base.md that primes AI with the project's tech stack, architecture, trusted sources, and project structure. Use when the user says 'set up knowledge base', 'prime the project', 'onboard AI', 'create knowledge base', 'set up project context', or 'configure AI context'.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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

- **Output**: `.lattice/standards/knowledge-base.md` (or custom path from `.lattice/config.yaml` -> `paths.knowledge_base`)
- **Mode**: Override is the standard approach -- every project's knowledge base is unique, so there are no generic defaults to overlay on. Overlay mode is available for selective revisions of an existing document.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add techygarg/lattice/knowledge-priming-refiner@sha256:75d2ef848df622c7

The line at the top of this page pins the label git:20260903.83fa756, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xonhaueb5rpbajp3.svg)](https://markdownregistry.com/a/art_xonhaueb5rpbajp3)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 3, 2026.

versioncommittedcommitsizeaudit
git:20260903.83fa756 latest2026-09-03 83fa756 7,552 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7552 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

techygarg/lattice · 206 stars · license MIT · pushed 2026-10-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xonhaueb5rpbajp3
GET https://markdownregistry.com/api/v1/resolve?ref=techygarg/lattice/knowledge-priming-refiner
GET https://markdownregistry.com/api/v1/blob/75d2ef848df622c7f95d2ba404cfc664c89bacf16448bbd84c910d431fc270f7

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in techygarg/lattice

Other files named knowledge-priming-refiner

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