# Send Dl Transformer Finetune 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": "dl-transformer-finetune",
    "name": "Dl Transformer Finetune",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/0x-Professor/dl-transformer-finetune",
    "canonicalUrl": "https://clawhub.ai/0x-Professor/dl-transformer-finetune",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/dl-transformer-finetune",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=dl-transformer-finetune",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "agents/openai.yaml",
      "references/finetune-guide.md",
      "scripts/build_finetune_plan.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/dl-transformer-finetune"
    },
    "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/dl-transformer-finetune",
    "downloadUrl": "https://openagent3.xyz/downloads/dl-transformer-finetune",
    "agentUrl": "https://openagent3.xyz/skills/dl-transformer-finetune/agent",
    "manifestUrl": "https://openagent3.xyz/skills/dl-transformer-finetune/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/dl-transformer-finetune/agent.md"
  }
}
```
## Documentation

### Overview

Generate reproducible fine-tuning run plans for transformer models and downstream tasks.

### Workflow

Define base model, task type, and dataset.
Set training hyperparameters and evaluation cadence.
Produce run plan plus model card skeleton.
Export configuration-ready artifacts for training pipelines.

### Use Bundled Resources

Run scripts/build_finetune_plan.py for deterministic plan output.
Read references/finetune-guide.md for hyperparameter baseline guidance.

### Guardrails

Keep run plans reproducible with explicit seeds and output directories.
Include evaluation and rollback criteria.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: 0x-Professor
- Version: 0.1.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/dl-transformer-finetune)
- [Send to Agent page](https://openagent3.xyz/skills/dl-transformer-finetune/agent)
- [JSON manifest](https://openagent3.xyz/skills/dl-transformer-finetune/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/dl-transformer-finetune/agent.md)
- [Download page](https://openagent3.xyz/downloads/dl-transformer-finetune)