# powers

**Repository Path**: soon14/powers

## Basic Information

- **Project Name**: powers
- **Description**: https://github.com/catface996/powers
- **Primary Language**: JavaScript
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-01-13
- **Last Updated**: 2026-01-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Kiro powers repository

Collection of Kiro powers for enhanced AI agent capabilities. Each power provides specialized tools and workflows for specific development tasks.

Documentation is available at https://kiro.dev/docs/powers/

## Available powers

### aurora-dsql
**Build a database with Aurora DSQL** - Build and deploy a PostgreSQL-compatible serverless distributed SQL database with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific constraints.

**MCP Servers:** aurora-dsql, aws-core (optional)

---

### aws-agentcore
**Build an agent with Amazon Bedrock AgentCore** - Build, test, and deploy AI agents using AWS Bedrock AgentCore with local development workflow. Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective agents.

**MCP Servers:** agentcore-mcp-server

---

### aws-infrastructure-as-code
**Build AWS infrastructure with CDK and CloudFormation** - Generate well-architected AWS infrastructure with CDK and CloudFormation - access latest documentation, validate templates, and troubleshoot deployments.

**MCP Servers:** awslabs.aws-iac-mcp-server

---

### cloud-architect
**Build infrastructure on AWS** - Build AWS infrastructure with CDK in Python following AWS Well-Architected framework best practices.

**MCP Servers:** awspricing, awsknowledge, awsapi, context7, fetch

---

### cloudwatch
**AWS CloudWatch Observability** - Query and analyze metrics, logs and alarms from AWS CloudWatch for troubleshooting and root cause analysis.

**MCP Servers:** awslabs.cloudwatch-mcp-server

---

### datadog
**Datadog Observability** - Query logs, metrics, traces, RUM events, incidents, and monitors from Datadog for production debugging and performance analysis.

**MCP Servers:** datadog (HTTPS API)

---

### dynatrace
**Dynatrace Observability** - Query logs, metrics, traces, problems, and security vulnerabilities using DQL (Dynatrace Query Language) and Davis AI.

**MCP Servers:** dynatrace-mcp-server

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### figma
**Design to Code with Figma** - Connect Figma designs to code components - automatically generate design system rules, map UI components to Figma designs, and maintain design-code consistency.

**MCP Servers:** figma

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### neon
**Build a database with Neon** - Serverless Postgres with database branching, autoscaling, and scale-to-zero - perfect for modern development workflows.

**MCP Servers:** neon

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### postman
**API Testing with Postman** - Automate API testing and collection management with Postman - create workspaces, collections, environments, and run tests programmatically.

**MCP Servers:** postman

---

### power-builder
**Power Builder** - Complete guide for building and testing new Kiro powers with templates, best practices, and validation.

**MCP Servers:** None (Knowledge Base Power)

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### requirements-analyst
**Requirements Analyst** - Complete requirements engineering power with 6-phase methodology: Discovery, Classification, Analysis, Prioritization, Validation, and Specification.

**MCP Servers:** None (standalone power)

---

### saas-builder
**SaaS Builder** - Build production-ready multi-tenant SaaS applications with serverless architecture, integrated billing, and enterprise-grade security.

**MCP Servers:** fetch, stripe, aws-knowledge-mcp-server, awslabs.dynamodb-mcp-server, awslabs.aws-serverless-mcp, playwright

---

### kiro-aidlc
**Kiro AI-DLC Development Workflow** - AI-Driven Development Life Cycle for Kiro with three phases: Inception (planning & design), Construction (implementation & test), and Operations (deployment & monitoring). Adaptive workflow that matches your project's complexity.

**MCP Servers:** None (standalone power)

---

### spec-kit
**Spec-Driven Development** - Complete SDD methodology with 10 workflows: Discover, Steering, Specify, Clarify, Plan, Tasks, Implement, Analyze, Checklist, and Sync. Transform specifications into executable code with multi-step refinement.

**MCP Servers:** None (standalone power)

---

### strands
**Build an agent with Strands SDK** - Build AI agents with Strands SDK using Bedrock, Anthropic, OpenAI, Gemini, or Llama models.

**MCP Servers:** strands-agents

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### stripe
**Stripe Payments** - Build payment integrations with Stripe - accept payments, manage subscriptions, handle billing, and process refunds.

**MCP Servers:** stripe

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### terraform
**Deploy infrastructure with Terraform** - Build and manage Infrastructure as Code with Terraform - access registry providers, modules, policies, and HCP Terraform workflow management.

**MCP Servers:** terraform (Docker stdio)

---


## Security

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.