attention-is-all-you-need SKILL.md skillA

attention-is-all-you-need from michalstrnadel/source-to-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add michalstrnadel/source-to-skill/attention-is-all-you-need@git:20261004.d77ddfa

Pins git:20261004.d77ddfa in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
michalstrnadel/source-to-skill
Path
examples/attention-is-all-you-need/SKILL.md
Versions recorded
1
Latest version
git:20261004.d77ddfa, committed Oct 4, 2026
Size
5,789 bytes
Repository stars
8
License
MIT

The Transformer paper (Vaswani et al., NIPS 2017, arXiv 1706.03762) distilled - scaled dot-product and multi-head attention, encoder-decoder stacks, sinusoidal positional encoding, the warmup learning-rate schedule, base/big hyperparameters, WMT 2014 translation and constituency-parsing results, and the ablation table. Load when explaining, implementing, or checking details of the original Transformer, comparing self-attention against recurrent or convolutional layers, or citing the paper's…

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

# Attention Is All You Need (Vaswani et al., 2017)

Source: https://arxiv.org/abs/1706.03762 (NIPS 2017; extracted from arXiv v7)

## TL;DR

The Transformer is an encoder-decoder model for sequence transduction built
only from attention and position-wise feed-forward layers, with no
recurrence and no convolution. Because every position attends to every
other position in one step, training parallelizes well and any two positions
are a constant number of operations apart. It set new state-of-the-art BLEU
on WMT 2014 EN-DE (28.4) and EN-FR (single model) at a fraction of earlier
training costs, and transferred to English constituency parsing.

## Key claims and evidence

1. **Attention alone is enough for strong sequence transduction.**
   Transformer (big) reaches 28.4 BLEU on WMT 2014 EN-DE, more than 2.0 BLEU
   above the best earlier results including ensembles; even the base model
   (27.3) beats all earlier models and ensembles. (§6.1, Table 2)
2. **It is much cheaper to train.** Base: 12 hours / 100K steps on 8 P100
   GPUs, ~3.3e18 FLOPs. Big: 3.5 days / 300K steps, ~2.3e19 FLOPs. The EN-FR
   big model beats all earlier single models at under 1/4 the training cost
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add michalstrnadel/source-to-skill/attention-is-all-you-need@sha256:a1af1f026be31503

The line at the top of this page pins the label git:20261004.d77ddfa, 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_cigxftu6dr5cqgx7.svg)](https://markdownregistry.com/a/art_cigxftu6dr5cqgx7)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 4, 2026.

versioncommittedcommitsizeaudit
git:20261004.d77ddfa latest2026-10-04 d77ddfa 5,789 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 (5789 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

michalstrnadel/source-to-skill · 8 stars · license MIT · pushed 2026-10-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cigxftu6dr5cqgx7
GET https://markdownregistry.com/api/v1/resolve?ref=michalstrnadel/source-to-skill/attention-is-all-you-need
GET https://markdownregistry.com/api/v1/blob/a1af1f026be31503b7ee5552fcc62ab8bd700b64bb822f533eb7a41b6eebd86f

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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