# Send MLOps to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "mlops",
    "name": "MLOps",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/ivangdavila/mlops",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/mlops",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/mlops",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mlops",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "gpu.md",
      "monitoring.md",
      "pipelines.md",
      "reproducibility.md",
      "serving.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "mlops",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-02T07:19:46.801Z",
      "expiresAt": "2026-05-09T07:19:46.801Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mlops",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mlops",
        "contentDisposition": "attachment; filename=\"mlops-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "mlops"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/mlops"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/mlops",
    "downloadUrl": "https://openagent3.xyz/downloads/mlops",
    "agentUrl": "https://openagent3.xyz/skills/mlops/agent",
    "manifestUrl": "https://openagent3.xyz/skills/mlops/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/mlops/agent.md"
  }
}
```
## Documentation

### Quick Reference

TopicFileKey TrapCI/CD and DAGspipelines.mdCoupling training/inference depsModel servingserving.mdCold start with large modelsDrift and alertsmonitoring.mdOnly technical metricsVersioningreproducibility.mdNot versioning preprocessingGPU infrastructuregpu.mdGPU request = full device

### Critical Traps

Training-Serving Skew:

Preprocessing in notebook ≠ preprocessing in service → silent bugs
Pandas in notebook → memory leaks in production (use native types)
Feature store values at training time ≠ serving time without proper joins

GPU Memory:

requests.nvidia.com/gpu: 1 reserves ENTIRE GPU, not partial memory
MIG/MPS sharing has real limitations (not plug-and-play)
OOM on GPU kills pod with no useful logs

Model Versioning ≠ Code Versioning:

Model artifacts need separate versioning (MLflow, W&B, DVC)
Training data version + preprocessing version + code version = reproducibility
Rollback requires keeping old model versions deployable

Drift Detection Timing:

Retraining trigger isn't just "drift > threshold" → cost/benefit matters
Delayed ground truth makes concept drift detection lag weeks
Upstream data pipeline changes cause drift without model issues

### Scope

This skill ONLY covers:

CI/CD pipelines for models
Model serving and scaling
Monitoring and drift detection
Reproducibility practices
GPU infrastructure patterns

Does NOT cover: ML algorithms, feature engineering, hyperparameter tuning.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: ivangdavila
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-02T07:19:46.801Z
- Expires at: 2026-05-09T07:19:46.801Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/mlops)
- [Send to Agent page](https://openagent3.xyz/skills/mlops/agent)
- [JSON manifest](https://openagent3.xyz/skills/mlops/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/mlops/agent.md)
- [Download page](https://openagent3.xyz/downloads/mlops)