ai-pipeline-orchestration SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
ai-pipeline-orchestration from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/ai-pipeline-orchestration@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/ai-pipeline-orchestration/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Sep 21, 2026
- Size
- 10,133 bytes
- Repository stars
- 87
- License
- MIT
Orchestrate AI/ML pipelines for data ingestion, model training, batch.
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 Pipeline Orchestration Build reliable, observable AI workflows — from document ingestion to batch inference to model training pipelines. ## When to Use This Skill Use this skill when: - Scheduling recurring RAG document ingestion and re-indexing - Orchestrating multi-step batch LLM processing workflows - Running nightly model evaluation and fine-tuning jobs - Building ETL pipelines that feed into AI models - Managing dependencies between data preparation and model serving ## Tool Selection | Tool | Best For | Complexity | GPU Jobs | |------|----------|------------|----------| | **Prefect** | Modern Python-first; easy to adopt | Low | Good | | **Airflow** | Complex DAGs; large teams; existing usage | High | Good | | **Dagster** | Asset-centric; strong data lineage | Medium | Excellent | | **Temporal** | Long-running workflows; reliability-first | Medium | Good | ## Prefect — Quick Start ```bash pip install prefect prefect-kubernetes # Start Prefect server (or use Prefect Cloud) prefect server start # In another terminal prefect worker start --pool default-agent-pool ``` ## Prefect: RAG Ingestion Pipeline ```python from prefect import flow, task, get_run_logger …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/ai-pipeline-orchestration@sha256:58fa724b365496cdThe line at the top of this page pins the label v1.0, 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.
[](https://markdownregistry.com/a/art_lidlwo2ncfqtswky)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 21, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10133 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
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lidlwo2ncfqtswky GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/ai-pipeline-orchestration GET https://markdownregistry.com/api/v1/blob/58fa724b365496cddca894e78aca9b78182e9680027b48e3b29f513be88c36c5
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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