Opencode-config-backup 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).

install

source · Clone the upstream repo

git clone https://github.com/jieni777/opencode-config-backup

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/jieni777/opencode-config-backup "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/comanda" ~/.claude/skills/jieni777-opencode-config-backup-comanda && rm -rf "$T"

manifest: skills/comanda/SKILL.md

source content

Comanda - Declarative AI Pipelines

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

Commands

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

Workflow YAML Format

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:

Provider	Models
OpenAI	`gpt-4o` , `gpt-4o-mini` , `o1` , `o1-mini`
Anthropic	`claude-sonnet-4-20250514` , `claude-opus-4-20250514`
Google	`gemini-pro` , `gemini-flash`
Ollama	`ollama/llama2` , `ollama/mistral` , etc.
Agentic	`claude-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