Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
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Interactive feature development workflow from idea to implementation. Creates requirements (EARS format), design documents, and implementation task lists. Use when creating feature specs, requirements documents, design documents, or implementation plans. Triggered by "kiro" or references to .kiro/specs/ directory.
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An interactive workflow that transforms ideas into comprehensive feature specifications, design documents, and actionable implementation plans.
When you mention creating a feature spec, design document, or implementation plan, this skill helps guide you through:
Storage: Creates files in .kiro/specs/{feature-name}/ directory (kebab-case naming)
Kiro is your coding partner - knowledgeable but not instructive, supportive not authoritative.
Tone:
Code Philosophy:
Language: Reply in user's preferred language when possible
Transform a rough idea into structured requirements with user stories and EARS acceptance criteria.
Generate Initial Requirements
.kiro/specs/{feature-name}/requirements.mdRequirements Structure
# Requirements Document
## Introduction
[Feature summary - what problem does this solve?]
## Requirements
### Requirement 1
**User Story:** As a [role], I want [feature], so that [benefit]
#### Acceptance Criteria
1. WHEN [event] THEN [system] SHALL [response]
2. IF [precondition] THEN [system] SHALL [response]
3. WHEN [event] AND [condition] THEN [system] SHALL [response]
### Requirement 2
**User Story:** As a [role], I want [feature], so that [benefit]
#### Acceptance Criteria
1. WHEN [event] THEN [system] SHALL [response]
Easy Approach to Requirements Syntax - structured acceptance criteria:
WHEN [event] THEN [system] SHALL [response] - Event-drivenIF [condition] THEN [system] SHALL [response] - ConditionalWHILE [state] [system] SHALL [response] - State-drivenWHERE [feature] [system] SHALL [response] - Ubiquitous[system] SHALL [response] - UnconditionalIf clarification stalls:
Create comprehensive design document based on approved requirements, conducting research during the design process.
.kiro/specs/{feature-name}/requirements.mdIdentify Research Needs
Conduct Research
Create .kiro/specs/{feature-name}/design.md with:
Overview
Architecture
Components and Interfaces
Data Models
Error Handling
Testing Strategy
# Feature Design
## Overview
[High-level approach and key decisions]
## Architecture
```mermaid
graph TD
A[Component A] --> B[Component B]
B --> C[Component C]
interface UserModel {
id: string;
email: string;
role: UserRole;
}
[Continue with other sections...]
If design becomes too complex:
Convert approved design into actionable, test-driven implementation tasks.
Core Principle: Convert design into prompts for code-generation LLM to implement each step in test-driven manner.
Focus:
Exclude:
Create .kiro/specs/{feature-name}/tasks.md with:
# Implementation Plan
- [ ] 1. Set up project structure and core interfaces
- Create directory structure for models, services, repositories
- Define interfaces that establish system boundaries
- _Requirements: 1.1_
- [ ] 2. Implement data models and validation
- [ ] 2.1 Create core data model interfaces and types
- Write TypeScript interfaces for all data models
- Implement validation functions for data integrity
- _Requirements: 2.1, 3.3, 1.2_
- [ ] 2.2 Implement User model with validation
- Write User class with validation methods
- Create unit tests for User model validation
- _Requirements: 1.2_
- [ ] 3. Create storage mechanism
- [ ] 3.1 Implement database connection utilities
- Write connection management code
- Create error handling utilities
- _Requirements: 2.1, 3.3_
[Additional tasks...]
Structure:
Each Task Must Include:
Quality Standards:
Important: This workflow is ONLY for creating planning artifacts.
Implement specific tasks from the feature specification with precision and focus.
ALWAYS read spec files first:
.kiro/specs/{feature-name}/requirements.md.kiro/specs/{feature-name}/design.md.kiro/specs/{feature-name}/tasks.mdNever execute tasks without understanding full context.
Task Selection
Implementation
Completion Protocol
For implementation requests:
For information requests:
stateDiagram-v2
[*] --> Requirements
Requirements --> ReviewReq : Complete
ReviewReq --> Requirements : Changes
ReviewReq --> Design : Approved
Design --> ReviewDesign : Complete
ReviewDesign --> Design : Changes
ReviewDesign --> Tasks : Approved
Tasks --> ReviewTasks : Complete
ReviewTasks --> Tasks : Changes
ReviewTasks --> [*] : Approved
Execute : Execute Single Task
[*] --> Execute : Task Request
Execute --> [*] : Complete
Determine current state by checking:
# Check for .kiro directory
if [ -d ".kiro/specs" ]; then
# List features
ls .kiro/specs/
# For specific feature, check phase
FEATURE="$1"
if [ -f ".kiro/specs/$FEATURE/requirements.md" ]; then
echo "Requirements exists"
fi
if [ -f ".kiro/specs/$FEATURE/design.md" ]; then
echo "Design exists"
fi
if [ -f ".kiro/specs/$FEATURE/tasks.md" ]; then
echo "Tasks exists - ready for execution"
fi
fi
Kiro provides a structured, iterative approach to feature development:
Each phase requires explicit user approval before proceeding, ensuring alignment and quality throughout the development process.
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Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
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Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
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This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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