메뉴
Add, modify, remove, list, or show agents in the workflow
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/Praveengovianalytics/SparkGen-AWS --skill sparkgen-agent명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
SOC 직업 분류 기준
Generate a new SparkGen-AWS project from the cookiecutter template
Develop and modify the SparkGen-AWS cookiecutter template — variables, hooks, files
Run cookiecutter matrix tests to verify template generates correctly across all variable combinations
| name | sparkgen-agent |
| description | Add, modify, remove, list, or show agents in the workflow |
| user_invokable | true |
| auto_invokable | true |
| auto_invoke_hint | Invoke when the user discusses agents, agent routing, or handoffs |
| arguments | <add|modify|remove|list|show> [agent-name] |
Manage agents defined in config/ai_workflow.yaml.
Before any action:
config/ai_workflow.yaml — parse the agents: section to get current agent listls prompts/ls contexts/ls guardrails/agents/ 2>/dev/null/sparkgen-agent list)Parse and display a table: | Name | Role | Tools | RAG Mode | Guardrail Sets | For each agent, show its key configuration.
config/ai_workflow.yaml/sparkgen-agent show <name>)Display full agent config from workflow YAML including:
handoffs: section)/sparkgen-agent add <name>)Create all required files for a new agent:
prompts/<name>.md with a system prompt templatecontexts/<name>_guidelines.md if the agent needs specific contextguardrails/agents/<name>.md for agent-specific rulesagents: section in config/ai_workflow.yaml:
- name: <name>
role: "<role description>"
description: "<what this agent does>"
tools: [<tool_list>]
prompt:
prompt_file: prompts/<name>.md
context_files: [contexts/platform_context.md]
variables:
agent_name: "<Name>"
prompt_suffix: ""
rag_context_template: ""
guardrails:
use_sets: [platform_defaults]
rag:
enabled: false
mode: standard
knowledge_bases: []
inject_context: false
handoffs: section:
- from: main_agent
to: <name>
condition: "intent == '<name_intent>'"
single_agent, switch to router_managermake validate to verify the workflow loads correctly/sparkgen-agent modify <name>)make validate/sparkgen-agent remove <name>)agents: in workflow YAMLhandoffs:prompts/<name>.md and contexts/<name>_guidelines.mdsingle_agentmake validatemain_agent is the entry point and should not be removed