convention-extraction SKILL.md skillA

convention-extraction from habitat-thinking/ai-literacy-superpowers is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add habitat-thinking/ai-literacy-superpowers/convention-extraction@git:20260415.bb944ba

Pins git:20260415.bb944ba in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
habitat-thinking/ai-literacy-superpowers
Path
ai-literacy-superpowers/skills/convention-extraction/SKILL.md
Versions recorded
2
Latest version
git:20260415.bb944ba, committed Apr 15, 2026
First version recorded
Apr 6, 2026
Size
6,352 bytes
Repository stars
121
License
a license file GitHub does not identify

Use when setting up a new project's conventions, onboarding AI to an existing codebase, after team composition changes, or when AI output quality varies depending on who prompts — guides structured discovery of tacit team knowledge into explicit, enforceable artefacts.

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

# Convention Extraction

Most team conventions live in people's heads — pattern recognition
built from years of reviews, production incidents, and architectural
discussions. They transfer slowly through pairing and code review, and
walk out the door when someone leaves. AI amplifies this: without
explicit conventions, AI output quality varies by who prompts. Same
codebase, same AI, completely different quality gates.

This skill guides systematic extraction of tacit knowledge into
versioned, enforceable artefacts. The approach is informed by Rahul
Garg's "Encoding Team Standards" (2026), which frames inconsistent AI
output as a systems problem requiring a systems solution.

This skill does not cover convention enforcement (see constraint-design
and verification-slots), convention maintenance (see context-engineering
and garbage-collection), or CI pipeline configuration.

For the full interview protocol with worked examples, consult
`references/extraction-interview-guide.md`.

## When to Extract

| Situation | Signal |
| ----------- | -------- |
| New project setup | CLAUDE.md and HARNESS.md are empty or boilerplate |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add habitat-thinking/ai-literacy-superpowers/convention-extraction@sha256:ebaf88b6026f4317

The line at the top of this page pins the label git:20260415.bb944ba, 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_f77iafzexisey3ha.svg)](https://markdownregistry.com/a/art_f77iafzexisey3ha)

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

Versions

The registry has recorded 2 versions of this file, between Apr 6, 2026 and Apr 15, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
git:20260415.bb944ba latest2026-04-15 bb944ba 6,352 BA view · diff
git:20260406.60a61ca2026-04-06 60a61ca 6,328 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 (6352 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

habitat-thinking/ai-literacy-superpowers · 121 stars · license a license file GitHub does not identify · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_f77iafzexisey3ha
GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/convention-extraction
GET https://markdownregistry.com/api/v1/blob/ebaf88b6026f4317baa4d21df30c0a91df2ee871926bd20292ea1734673e5248

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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