Menu
Send a chat message to the running agent server and display the response
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Based on SOC occupation classification
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/Praveengovianalytics/SparkGen-AWS --skill sparkgen-chatThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Showing SKILL.md
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-chat |
| description | Send a chat message to the running agent server and display the response |
| user_invokable | true |
| auto_invokable | false |
| arguments | <message> [--agent name] [--session id] [--max-iterations N] |
Send a chat message to the running SparkGen agent and display the full response.
Before sending:
curl -sf http://localhost:8000/health
/sparkgen-deploy local or make local.env (default: dev-local-key)Build and send the request:
curl -s -X POST http://localhost:8000/v1/chat \
-H "Content-Type: application/json" \
-H "X-API-Key: ${API_KEY:-dev-local-key}" \
-d '{
"message": "<user message>",
"agent_name": "<agent or empty for default>",
"session_id": "<session or auto-generated>",
"max_iterations": <N or 10>
}'
Parse and display the JSON response:
When --session is provided, the agent maintains conversation history. Use the same session ID for follow-up messages to test multi-turn behavior.
/sparkgen-chat "What tools do you have?"
/sparkgen-chat "Search for deployment docs" --agent researcher
/sparkgen-chat "Follow up on that" --session abc123
/sparkgen-debug generalcurl http://localhost:11434/api/tags)