agentic-system-prompts

A curated collection of system prompts and tool definitions from production AI coding agents. Benefits operations teams by providing pre-built prompts for AI agents, reducing setup time and improving consistency. Connects to Claude agents and integrates with Jinja templating for customization.

[{"step":1,"action":"Select a system prompt from the curated collection (e.g., `refactor-service-component`, `debug-performance-issue`, `generate-api-docs`).","tip":"Use prompts tagged for your tech stack (e.g., 'Spring Boot', 'React Native') to ensure compatibility."},{"step":2,"action":"Customize the prompt template by replacing [PLACEHOLDERS] with your task details (e.g., [TASK_DESCRIPTION], [CONSTRAINTS]).","tip":"For dynamic inputs, use Jinja templating (e.g., `{{ project_name }}` → `auth-service`)."},{"step":3,"action":"Deploy the prompt to your AI agent (e.g., Claude, Cursor, or custom agent). Ensure the agent has access to the required tools (e.g., `dependency-graph-tool`, `maven-wrapper`).","tip":"Test the agent in a sandbox environment first to validate tool outputs and constraints."},{"step":4,"action":"Monitor the agent’s execution log. Review outputs for accuracy, and use the documented steps to verify changes or debug issues.","tip":"For complex tasks, break the workflow into smaller subtasks and use separate prompts for each phase."},{"step":5,"action":"Integrate the agent’s outputs into your workflow (e.g., auto-generate PR descriptions, update documentation, or trigger CI/CD pipelines).","tip":"Use the agent’s structured output (e.g., JSON, Markdown) to automate downstream processes like ticket updates or Slack notifications."}]