ai-ml SKILL.md skillA

ai-ml from sickn33/agentic-awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add sickn33/agentic-awesome-skills/ai-ml@git:20261014.4259ebc

Pins git:20261014.4259ebc in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
sickn33/agentic-awesome-skills
Path
plugins/agentic-awesome-skills-claude/skills/ai-ml/SKILL.md
Versions recorded
2
Latest version
git:20261014.4259ebc, committed Oct 14, 2026
First version recorded
Jul 8, 2026
Size
6,484 bytes
Repository stars
49,071
License
MIT

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

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/ML Workflow Bundle

## Overview

Comprehensive AI/ML workflow for building LLM applications, implementing RAG systems, creating AI agents, and developing machine learning pipelines. This bundle orchestrates skills for production AI development.

## When to Use This Workflow

Use this workflow when:
- Building LLM-powered applications
- Implementing RAG (Retrieval-Augmented Generation)
- Creating AI agents
- Developing ML pipelines
- Adding AI features to applications
- Setting up AI observability

## Selection and completion

Select only phases needed for the requested product; this workflow does not authorize delegation, hosted calls, deployment, background jobs or external messages. Read the actual selected skill and available tool schema. Define task-level quality, retrieval/source checks, data permissions, latency/currency limits and failure recovery before implementation. Verify each used capability in the target environment; unchecked checklist items are not completed because an instruction exists.

## Workflow Phases

### Phase 1: AI Application Design

#### Skills to Invoke
- `ai-product` - AI product development
- `ai-engineer` - AI engineering
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add sickn33/agentic-awesome-skills/ai-ml@sha256:fbc3584f7e6a59e6

The line at the top of this page pins the label git:20261014.4259ebc, 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_umwi5tta56enflcv.svg)](https://markdownregistry.com/a/art_umwi5tta56enflcv)

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

Versions

The registry has recorded 2 versions of this file, between Jul 8, 2026 and Oct 14, 2026, about one every 98 days.

versioncommittedcommitsizeaudit
git:20261014.4259ebc latest2026-10-14 4259ebc 6,484 BA view · diff
git:20260708.a07936c2026-07-08 a07936c 5,966 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 (6484 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

sickn33/agentic-awesome-skills · 49,071 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_umwi5tta56enflcv
GET https://markdownregistry.com/api/v1/resolve?ref=sickn33/agentic-awesome-skills/ai-ml
GET https://markdownregistry.com/api/v1/blob/fbc3584f7e6a59e65b503b197efe461cd00559b84c3d4fe22518d43d8c27451d

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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