Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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Comanda
Generate, visualize, and execute declarative AI pipelines using the comanda CLI. Use when creating LLM workflows from natural language, viewing workflow charts, editing YAML workflow files, or processing/running comanda workflows. Supports multi-model orchestration (OpenAI, Anthropic, Google, Ollama, Claude Code, Gemini CLI, Codex).
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Generate, visualize, and execute declarative AI pipelines using the comanda CLI. Use when creating LLM workflows from natural language, viewing workflow charts, editing YAML workflow files, or processing/running comanda workflows. Supports multi-model orchestration (OpenAI, Anthropic, Google, Ollama, Claude Code, Gemini CLI, Codex).
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/WORKFLOW-SPEC.md
Validation
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- Review SKILL.md after the package is downloaded.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- kris-hansen
- Source page
- View original listing
- Canonical URL
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Documentation
Comanda - Declarative AI Pipelines
๐ Website: comanda.sh | ๐ฆ 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
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
2 Docs
- SKILL.md
- references/WORKFLOW-SPEC.md