Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

ML Pipeline Workflow · dokhacgiakhoa | DecimalAI

ai mlby dokhacgiakhoa

ML Pipeline Workflow

dokhacgiakhoa/ml-pipeline-workflow

Source dokhacgiakhoa/agent-skills-4-vibe-coding-cli ↗License NOASSERTION

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.

SkillScore50Maintained

Automatic

AI Engineer pack

Last verified 8/29/2026

What it changes

Passed 11 of 22 test cases with the skill, and 9 of 22 without it.

Without skill41%

With skill50%

Checks it passed that the model alone missed

includes verification checks to ensure state resume works correctly after step failures
provides verification steps to compare shadow prediction outputs against baseline production responses

2 fixed9 passed either way11 still failing0 broke

Pass-rate lift: +9 pp
Tokens: +31%
Agent turns: 0%
Response time: +0%

Model gemini-3.6-flashMeasured 8/29/2026v111 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/dokhacgiakhoa-ml-pipeline-workflow/SKILL.md https://app.decimal.ai/s/dokhacgiakhoa-ml-pipeline-workflow/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add dokhacgiakhoa-ml-pipeline-workflow, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/dokhacgiakhoa-ml-pipeline-workflow/ and pins it in .decimal/skills.lock

decimalai skills add dokhacgiakhoa-ml-pipeline-workflow

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/dokhacgiakhoa-ml-pipeline-workflow/SKILL.md https://app.decimal.ai/s/dokhacgiakhoa-ml-pipeline-workflow/SKILL.md

Raw file: /s/dokhacgiakhoa-ml-pipeline-workflow/SKILL.md ↗ · machine-readable summary at /s/dokhacgiakhoa-ml-pipeline-workflow.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 2

Prompt

When an intermediate node in our multi-stage DAG fails due to transient network errors, the entire job currently aborts and restarts from scratch. How should error handling and recovery be configured?

What was checked, without and with the skill
Checked	Without skill	With skill
recommends task-level retry policies with exponential backoff	Passed	Passed
includes verification checks to ensure state resume works correctly after step failures	Missed	Passed

case-12 · gemini-3.6-flash · 8/29/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md50 linessingle file

ML Pipeline Workflow

Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.

Do not use this skill when

The task is unrelated to ml pipeline workflow
You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.
If detailed examples are required, open resources/implementation-playbook.md.

Overview

This skill provides comprehensive guidance for building production ML pipelines that handle the full lifecycle: data ingestion → preparation → training → validation → deployment → monitoring.

Use this skill when

Building new ML pipelines from scratch
Designing workflow orchestration for ML systems
Implementing data → model → deployment automation
Setting up reproducible training workflows
Creating DAG-based ML orchestration
Integrating ML components into production systems

What This Skill Provides

🧠 Knowledge Modules (Fractal Skills)

1. Core Capabilities

2. Reference Documentation

3. Assets and Templates

4. Basic Pipeline Setup

5. Production Workflow

6. Pipeline Design

7. Data Management

Track record

Benchmark

11 / 22

test cases passed, vs 9 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

dokhacgiakhoa / agent-skills-4-vibe-coding-cli

.agent/skills/ml-pipeline-workflow/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/10/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

ML Pipeline Workflow

Do not use this skill when

Instructions

Overview

Use this skill when

What This Skill Provides

🧠 Knowledge Modules (Fractal Skills)

1. Core Capabilities

2. Reference Documentation

3. Assets and Templates

4. Basic Pipeline Setup

5. Production Workflow

6. Pipeline Design

7. Data Management

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills