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comanda

by openclaw

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,

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
openclaw
Category
DevOps
Views
2

About this skill

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).

How to use

  1. Zainstaluj Comanda za pomocą brew (macOS) poleceniem brew install kris-hansen/comanda/comanda lub przez Go: go install github.com/kris-hansen/comanda@latest. 2. Skonfiguruj klucze API swoich dostawców modeli poleceniem comanda configure. 3. Wygeneruj workflow z opisu w języku naturalnym, na przykład comanda generate summarize.yaml "Utwórz workflow, który streszcza tekst". Możesz wskazać konkretny model flagą -m, np. -m claude-sonnet-4-20250514. 4. Wizualizuj strukturę workflow'u poleceniem comanda chart summarize.yaml, aby zobaczyć ASCII diagram kroków, modeli i połączeń danych. 5. Uruchom workflow poleceniem comanda process summarize.yaml. Możesz przekazać dane wejściowe przez potok, np. cat plik.txt | comanda process analyze.yaml, lub uruchomić wiele workflow'ów sekwencyjnie: comanda process krok1.yaml krok2.yaml krok3.yaml. 6. Edytuj pliki YAML bezpośrednio w edytorze tekstu, aby dostosować kroki, modele lub parametry przepływu pracy.

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