knowledge-priming SKILL.md skillA

knowledge-priming 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@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/atoms/knowledge-priming/SKILL.md
Versions recorded
1
Latest version
git:20260903.83fa756, committed Sep 3, 2026
Size
2,737 bytes
Repository stars
206
License
MIT

Load project-specific context -- tech stack, architecture overview, directory layout, trusted sources, and conventions -- so that all skills operate with awareness of what this project actually is. Use when a knowledge base document exists, or when the user asks about the project's tech stack, architecture, conventions, framework, directory layout, or says 'tell me about this project', 'what are we using?', 'what's our stack?', or 'what framework is this?'. Use the knowledge-priming-refiner to…

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

## Config Resolution

1. Look for `.lattice/config.yaml` in the repo root.
2. If found, check `paths.knowledge_base` for a custom document path.
3. If a document exists at that path, read the full document.
4. **STOP: Apply the loaded document as ambient context before any design, implementation, or review work begins.**
5. If a path is configured but no document exists at it → tell the user which configured path is missing, then see "When No Document Exists".
6. If there is no config file or no `paths.knowledge_base` key → see "When No Document Exists".

## When No Document Exists

Inform the user:

> No project knowledge base found. AI skills will operate from generic assumptions about tech stack, architecture, and conventions.
>
> To create one, trigger **knowledge-priming-refiner** — a guided interview (~10 questions) producing a concise document (~50 lines).
>
> You can also create `.lattice/standards/knowledge-base.md` manually and reference it in `.lattice/config.yaml` under `paths.knowledge_base`.

Do not block. Continue without the knowledge base.

## What the Document Contains

| # | Section | What It Captures |
|---|---------|-----------------|
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add techygarg/lattice/knowledge-priming@sha256:5eff15f6079ae418

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_emjpok44ehlvfrqo.svg)](https://markdownregistry.com/a/art_emjpok44ehlvfrqo)

3 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 2,737 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 (2737 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_emjpok44ehlvfrqo
GET https://markdownregistry.com/api/v1/resolve?ref=techygarg/lattice/knowledge-priming
GET https://markdownregistry.com/api/v1/blob/5eff15f6079ae418386369966ac947b51fe1cf8ddfd70cd8e900c95175fc630c

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

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