Comprehensive prompt collection for AI agents implementing Kiro IDE's spec-driven development workflow - from requirements to implementation.
git clone https://github.com/wirelessr/kiro-workflow-prompts.gitThe kiro-workflow-prompts skill offers a comprehensive collection of prompts designed specifically for AI agents that implement Kiro IDE's spec-driven development workflow. This skill guides users through the entire process from requirements gathering to implementation, making it an invaluable resource for developers and product managers looking to enhance their AI automation capabilities. By leveraging this skill, teams can ensure that their AI agents are aligned with project specifications, leading to more efficient development cycles. One of the key benefits of using kiro-workflow-prompts is the ability to streamline the development process. While specific time savings are currently unknown, the structured approach provided by this skill can significantly reduce the time spent on drafting and refining prompts. This efficiency is particularly beneficial for teams operating in fast-paced environments where every minute counts. By utilizing these prompts, users can focus more on the creative aspects of development rather than getting bogged down in the details. This skill is ideal for intermediate-level developers, product managers, and AI practitioners who are looking to improve their workflow automation. It is especially relevant for teams that are already familiar with Kiro IDE and wish to integrate AI agent skills into their existing processes. The prompts can be used in various scenarios, such as automating testing procedures, generating documentation, or even creating user interfaces, all of which enhance productivity and ensure consistency across projects. Implementation of the kiro-workflow-prompts skill is straightforward and can be completed in approximately 30 minutes. Users should have a basic understanding of Kiro IDE and its functionalities to maximize the benefits of this skill. By incorporating this skill into an AI-first workflow, teams can enhance their automation capabilities, ultimately leading to a more agile and responsive development environment.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/wirelessr/kiro-workflow-promptsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a detailed technical specification for a [FEATURE] in Kiro IDE's spec-driven development workflow. Include [REQUIREMENTS] and [CONSTRAINTS]. Structure the output as a markdown document with sections for: Overview, Functional Requirements, Non-Functional Requirements, Dependencies, and Acceptance Criteria. Ensure the specification is detailed enough for a developer to implement without additional clarification.
Here's a technical specification for a 'Code Review Automation' feature in Kiro IDE's spec-driven development workflow: # Code Review Automation ## Overview The Code Review Automation feature aims to streamline the code review process by automating routine tasks and providing AI-assisted suggestions for improvements. ## Functional Requirements 1. The system shall automatically detect code changes in the repository and trigger a review process. 2. The system shall analyze the changed code for potential issues such as syntax errors, style violations, and security vulnerabilities. 3. The system shall provide AI-generated suggestions for improvements, including code refactoring and optimization. 4. The system shall allow reviewers to accept or reject suggestions and provide feedback. 5. The system shall notify developers of the review results and any required actions. ## Non-Functional Requirements 1. The system shall process code changes within 5 seconds of detection. 2. The system shall maintain a 99.9% uptime. 3. The system shall support integration with popular version control systems such as GitHub, GitLab, and Bitbucket. ## Dependencies 1. Kiro IDE 2. GitHub API 3. GitLab API 4. Bitbucket API ## Acceptance Criteria 1. The system shall successfully detect code changes and trigger a review process. 2. The system shall accurately analyze code changes and provide relevant suggestions. 3. The system shall allow reviewers to accept or reject suggestions and provide feedback. 4. The system shall notify developers of the review results and any required actions. 5. The system shall process code changes within 5 seconds of detection and maintain a 99.9% uptime.
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