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Generate a new SparkGen-AWS project from the cookiecutter template
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Develop and modify the SparkGen-AWS cookiecutter template — variables, hooks, files
Run cookiecutter matrix tests to verify template generates correctly across all variable combinations
Add, modify, remove, list, or show agents in the workflow
Send a chat message to the running agent server and display the response
Switch LLM providers, deployment modes, and manage environment configuration
Diagnose issues with Ollama, Docker, AWS, endpoints, guardrails, RAG, or general health
| name | sparkgen-generate |
| description | Generate a new SparkGen-AWS project from the cookiecutter template |
| user_invokable | true |
| auto_invokable | false |
| arguments | [project_name] [--mode local|docker|aws] [--agents 1-4] [--rag yes|no] [--provider bedrock|ollama|openai] |
Generate a new project from the SparkGen-AWS cookiecutter template.
Before generating:
cookiecutter.json to understand all available template variablescookiecutter --versionMap the user's arguments to cookiecutter variables:
| Argument | cookiecutter Variable | Default |
|---|---|---|
| project_name | project_name | "My SparkGen AWS Agent" |
| --mode | deployment_mode | "all" |
| --agents | num_agents | "4" |
| --rag | enable_rag | "yes" |
| --provider | llm_provider | "bedrock" |
Build the cookiecutter command with --no-input and variable overrides:
cookiecutter . --no-input \
project_name="<name>" \
deployment_mode="<mode>" \
num_agents="<N>" \
enable_rag="<yes|no>" \
llm_provider="<provider>"
After generating:
ls <output_slug>/python -m compileall <output_slug>/app -q<output_slug>/config/ai_workflow.yaml<output_slug>/Makefile<output_slug>/app/api.py<output_slug>/.claude/skills/ (skills directory)<output_slug>/CLAUDE.mdgrep "^ - name:" <output_slug>/config/ai_workflow.yaml=== Project Generated ===
Name: <project_name>
Location: ./<output_slug>/
Mode: <deployment_mode>
Provider: <llm_provider>
Agents: <num_agents>
RAG: <enable_rag>
Guardrails: <enable_guardrails>
Next steps:
cd <output_slug>
make setup # Install dependencies
make local # Start local dev server
Available skills (in generated project):
/sparkgen-deploy Deploy to local/docker/aws
/sparkgen-test Run tests
/sparkgen-chat Test chat
/sparkgen-debug Diagnose issues
pip install cookiecutter