# Send Comanda 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": "comanda",
    "name": "Comanda",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/kris-hansen/comanda",
    "canonicalUrl": "https://clawhub.ai/kris-hansen/comanda",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/comanda",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=comanda",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "references/WORKFLOW-SPEC.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "comanda",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-01T23:39:14.193Z",
      "expiresAt": "2026-05-08T23:39:14.193Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=comanda",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=comanda",
        "contentDisposition": "attachment; filename=\"comanda-1.0.2.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "comanda"
      },
      "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/comanda"
    },
    "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/comanda",
    "downloadUrl": "https://openagent3.xyz/downloads/comanda",
    "agentUrl": "https://openagent3.xyz/skills/comanda/agent",
    "manifestUrl": "https://openagent3.xyz/skills/comanda/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/comanda/agent.md"
  }
}
```
## Documentation

### Comanda - Declarative AI Pipelines

🌐 Website: comanda.sh | 📦 GitHub: kris-hansen/comanda

Comanda defines LLM workflows in YAML and runs them from the command line. Workflows can chain multiple AI models, run steps in parallel, and pipe data through processing stages.

### Installation

# macOS
brew install kris-hansen/comanda/comanda

# Or via Go
go install github.com/kris-hansen/comanda@latest

Then configure API keys:

comanda configure

### Generate a Workflow

Create a workflow YAML from natural language:

comanda generate <output.yaml> "<prompt>"

# Examples
comanda generate summarize.yaml "Create a workflow that summarizes text input"
comanda generate review.yaml "Analyze code for bugs, then suggest fixes" -m claude-sonnet-4-20250514

### Visualize a Workflow

Display ASCII chart of workflow structure:

comanda chart <workflow.yaml>
comanda chart workflow.yaml --verbose

Shows step relationships, models used, input/output chains, and validity.

### Process/Execute a Workflow

Run a workflow file:

comanda process <workflow.yaml>

# With input
cat file.txt | comanda process analyze.yaml
echo "Design a REST API" | comanda process multi-agent.yaml

# Multiple workflows
comanda process step1.yaml step2.yaml step3.yaml

### View/Edit Workflows

Workflow files are YAML. Read them directly to understand or modify:

cat workflow.yaml

### Basic Step

step_name:
  input: STDIN | NA | filename | $VARIABLE
  model: gpt-4o | claude-sonnet-4-20250514 | gemini-pro | ollama/llama2 | claude-code | gemini-cli
  action: "Instruction for the model"
  output: STDOUT | filename | $VARIABLE

### Parallel Execution

parallel-process:
  analysis-one:
    input: STDIN
    model: claude-sonnet-4-20250514
    action: "Analyze for security issues"
    output: $SECURITY

  analysis-two:
    input: STDIN
    model: gpt-4o
    action: "Analyze for performance"
    output: $PERF

### Chained Steps

extract:
  input: document.pdf
  model: gpt-4o
  action: "Extract key points"
  output: $POINTS

summarize:
  input: $POINTS
  model: claude-sonnet-4-20250514
  action: "Create executive summary"
  output: STDOUT

### Generate + Process (Meta-workflows)

create_workflow:
  input: NA
  generate:
    model: gpt-4o
    action: "Create a workflow that analyzes sentiment"
    output: generated.yaml

run_it:
  input: NA
  process:
    workflow_file: generated.yaml

### Available Models

Run comanda configure to set up API keys. Common models:

ProviderModelsOpenAIgpt-4o, gpt-4o-mini, o1, o1-miniAnthropicclaude-sonnet-4-20250514, claude-opus-4-20250514Googlegemini-pro, gemini-flashOllamaollama/llama2, ollama/mistral, etc.Agenticclaude-code, gemini-cli, openai-codex

### Examples Location

See ~/clawd/comanda/examples/ for workflow samples:

agentic-loop/ - Autonomous agent patterns
claude-code/ - Claude Code integration
gemini-cli/ - Gemini CLI workflows
document-processing/ - PDF, text extraction
database-connections/ - DB query workflows

### Troubleshooting

"model not configured": Run comanda configure to add API keys
Workflow validation errors: Use comanda chart workflow.yaml to visualize and check validity
Debug mode: Add --debug flag for verbose logging
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: kris-hansen
- Version: 1.0.2
## 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: 2026-05-01T23:39:14.193Z
- Expires at: 2026-05-08T23:39:14.193Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/comanda)
- [Send to Agent page](https://openagent3.xyz/skills/comanda/agent)
- [JSON manifest](https://openagent3.xyz/skills/comanda/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/comanda/agent.md)
- [Download page](https://openagent3.xyz/downloads/comanda)