Search Skills

Generates 2-3 targeted clarifying questions to resolve vague requirements before routing to specialist agents, ensuring clear and actionable requests.

Generates structured 8-section validation reports with verdict, strengths, critical flaws, and path forward after analysis completion.

Recommends optimal technology stacks for new projects by analyzing requirements, team expertise, and constraints, including frameworks, databases, and infrastructure.

Challenges implicit assumptions in strategic plans and technical decisions to prevent costly mistakes before implementation.

Recommends optimal software architecture patterns (monolith, microservices, serverless) based on project scale, team size, and constraints for new systems or migrations.

Creates phased technical roadmaps with task breakdowns, effort estimates, and validation checkpoints from architecture designs.

Detects technical and organizational anti-patterns in strategic proposals, architectures, and plans to prevent future issues.

Creates structured prompts from clarified user requests to ensure specialist agents receive complete context for effective business delegation.

Assists developers in using AI SDKs to build agents, chatbots, and text generation features with provider support and tool calling capabilities.

Provides command-line interaction with GitHub for managing issues, pull requests, CI runs, and API queries using the `gh` CLI.

Enables lean multi-agent orchestration with task tracking for efficient agent delegation in LLM applications, avoiding complex frameworks.

Enforces verification-first development by requiring pre-implementation checks and validations for all code tasks.

Provides performance optimization patterns for React and Next.js, ensuring best practices are implemented before code development.

Creates a lightweight system for orchestrating multiple AI agents with task tracking, enabling efficient agent delegation without complex infrastructure.

Guides implementation of software tasks using core engineering principles and architectural patterns.

Manages to-do lists stored in text files within the todos/ directory for simple, file-based task tracking.

Conducts systematic code reviews with multiple perspectives and enforces consistent quality standards across development teams.

Systematic debugging approach focusing on structured bug reproduction and root cause identification for efficient defect resolution.

Restores session context from prior interactions, enabling seamless continuation of conversations without repeating information.

Systematically documents and persists solutions to recurring problems to enhance team knowledge and efficiency.

Provides unified testing commands and patterns for frontend and backend development, streamlining test execution and maintenance.

Expertise in managing Supabase database, authentication, and backend services for seamless project data operations and development.

Automates splitting large note files into smaller, focused files with index navigation for improved organization and accessibility.

Searches Tasuku tasks, notes, learnings, and decisions using natural language or /tk:find command.