# Send RamaLama CLI 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": "ramalama-cli",
    "name": "RamaLama CLI",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/ieaves/ramalama-cli",
    "canonicalUrl": "https://clawhub.ai/ieaves/ramalama-cli",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/ramalama-cli",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ramalama-cli",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "references/models.md",
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "ramalama-cli",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T21:36:11.251Z",
      "expiresAt": "2026-05-14T21:36:11.251Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ramalama-cli",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ramalama-cli",
        "contentDisposition": "attachment; filename=\"ramalama-cli-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "ramalama-cli"
      },
      "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/ramalama-cli"
    },
    "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/ramalama-cli",
    "downloadUrl": "https://openagent3.xyz/downloads/ramalama-cli",
    "agentUrl": "https://openagent3.xyz/skills/ramalama-cli/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ramalama-cli/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ramalama-cli/agent.md"
  }
}
```
## Documentation

### Ramalama CLI

Use when an alternative AI agent is better suited to a task. For example, working with sensitive data or solving simple tasks with a cheap and local agent, or accessing specialist models with unique capabilities.

### Overview

Use this skill to execute ramalama tasks in a consistent, low-risk workflow.
Prefer local discovery (--help, local config files, existing project scripts) before making assumptions about flags or runtime defaults.

Prefer ramalama when tasks need:

flexible model sourcing (hf://, oci://, rlcr://, url://)
containerized local inference with runtime/network/device controls
RAG data packaging and serving
benchmark/perplexity evaluation
model conversion and registry push/pull flows

### Preflight

Run these checks before first invocation in a session:

ramalama version
podman info >/dev/null 2>&1 || docker info >/dev/null 2>&1
ramalama run --help

If serving on default port, verify availability:

lsof -i :8080

### Decision Matrix

One-shot inference: ramalama run <model> "<prompt>"
Interactive chat loop: ramalama run <model>
Serve OpenAI-compatible endpoint: ramalama serve <model>
Query an existing endpoint: ramalama chat --url <url> "<prompt>"
Build knowledge bundle from files/URLs: ramalama rag <paths...> <destination>
Evaluate model performance/quality: ramalama bench <model> and ramalama perplexity <model>
Inspect/source lifecycle operations: inspect, pull, push, convert, list, rm

### Usage

Start with top-level discovery:

ramalama --help
ramalama version

Apply global options before the subcommand when needed:

ramalama [--debug|--quiet] [--dryrun] [--engine podman|docker] [--nocontainer] [--runtime llama.cpp|vllm|mlx] [--store <path>] <subcommand> ...

Use command-level help before invoking unknown flags:

ramalama <subcommand> --help

### 1) One-shot run

ramalama run granite3.3:2b "Summarize this in 3 bullets: <text>"

### 2) Detached service + API call

ramalama serve -d granite3.3:2b
curl http://localhost:8080/v1/chat/completions \\
  -H "Content-Type: application/json" \\
  -d '{"model":"granite3.3:2b","messages":[{"role":"user","content":"Hello"}]}'

### 3) Direct Hugging Face source

ramalama serve hf://unsloth/gemma-3-270m-it-GGUF

### 4) RAG package then query

ramalama rag ./docs my-rag
ramalama run --rag my-rag granite3.3:2b "What are the auth requirements?"

### 5) Benchmark and list benchmark history

ramalama bench granite3.3:2b
ramalama benchmarks list

### Reliability Defaults

For agent automation, prefer explicit and deterministic flags:

ramalama --engine podman run -c 4096 --pull missing granite3.3:2b "<prompt>"

Recommended defaults:

set --engine explicitly when environment is mixed
start with smaller -c/--ctx-size on constrained hosts
use --pull missing for faster repeat runs
use one-shot non-interactive invocation for scripts

### Troubleshooting

Docker socket unavailable:

verify Docker is running, or use --engine podman


Podman socket unavailable:

check podman machine list and start machine if needed


timed out during startup:

inspect container logs: podman logs <container>
reduce context (-c 4096) and retry


memory allocation failure:

use a smaller model and/or lower context size


port conflict on 8080:

choose alternate port via -p <port>

### Notes

serve exposes an OpenAI-compatible endpoint for external clients.
Prefer JSON output flags where available (list --json, inspect --json) for robust parsing in automation.
Use ramalama chat --url <endpoint> when the model is already served elsewhere.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: ieaves
- 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: 2026-05-07T21:36:11.251Z
- Expires at: 2026-05-14T21:36:11.251Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/ramalama-cli)
- [Send to Agent page](https://openagent3.xyz/skills/ramalama-cli/agent)
- [JSON manifest](https://openagent3.xyz/skills/ramalama-cli/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/ramalama-cli/agent.md)
- [Download page](https://openagent3.xyz/downloads/ramalama-cli)