ai-pilot-to-scale SKILL.md skillA

ai-pilot-to-scale from deciqai/knowledge-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add deciqai/knowledge-skills/ai-pilot-to-scale@git:20261025.cb4e537

Pins git:20261025.cb4e537 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
deciqai/knowledge-skills
Path
ai-pilot-to-scale/SKILL.md
Versions recorded
1
Latest version
git:20261025.cb4e537, committed Oct 25, 2026
Size
8,475 bytes
Repository stars
13
License
MIT

"Activate when: user says 'our AI pilot is done but nobody uses it', 'the demo was great, how do we roll it out?', 'how do we get this POC into daily operations?', 'should we scale or kill this pilot?', 'the pilot keeps getting extended', or is about to launch an AI/agent pilot.

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

# AI Pilot to Scale

## Overview

Most AI pilots do not fail on the model. They fail on the organization: the tool sits outside the systems people already use, nobody on the business side owns the result, and the success metric is chosen after the fact — so any outcome can be narrated as progress and the pilot is extended indefinitely. That state has a name: **pilot purgatory**. Gartner predicted in July 2024 that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, citing poor data quality, inadequate risk controls, escalating costs or unclear business value.

The core mechanism: **before the pilot starts, lock a narrow workflow, a measured baseline, written success and kill criteria, a business owner, and a scale/kill date** — then decide on that date against what was written, not against what the demo felt like.

This is the same discipline Google's *Rules of Machine Learning* opens with ("First, design and implement metrics") and Anthropic's agent guidance states for autonomy ("finding the simplest solution possible, and only increasing complexity when needed"): measure first, earn autonomy in stages.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add deciqai/knowledge-skills/ai-pilot-to-scale@sha256:534fc3a6813c6bc5

The line at the top of this page pins the label git:20261025.cb4e537, 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_p5nkwinow5i7syup.svg)](https://markdownregistry.com/a/art_p5nkwinow5i7syup)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 25, 2026.

versioncommittedcommitsizeaudit
git:20261025.cb4e537 latest2026-10-25 cb4e537 8,475 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 (8475 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

deciqai/knowledge-skills · 13 stars · license MIT · pushed 2026-10-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_p5nkwinow5i7syup
GET https://markdownregistry.com/api/v1/resolve?ref=deciqai/knowledge-skills/ai-pilot-to-scale
GET https://markdownregistry.com/api/v1/blob/534fc3a6813c6bc5b01cec0d994095696d6175e61ed7bdfd475e628895a1156e

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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