knowledge-priming 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 from techygarg/lattice is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add techygarg/lattice/knowledge-priming@git:20260903.6d09876Pins git:20260903.6d09876 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- techygarg/lattice
- Path
skills/knowledge-priming/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260903.6d09876, 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
mdr add techygarg/lattice/knowledge-priming@sha256:5eff15f6079ae418The line at the top of this page pins the label git:20260903.6d09876, 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.
[](https://markdownregistry.com/a/art_y6onqehi4pdrjdw7)
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.
Audit of the latest version
- 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
techygarg/lattice · 206 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_y6onqehi4pdrjdw7 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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