Search Skills

Conducts external research using web, documentation, and API sources to gather information without accessing internal codebases.

Routes mathematical problems to appropriate frameworks using expert heuristics for optimal solution paths.

Enables developers to create, manage, and maintain Claude Code skills through a structured development workflow.

Orchestrates multiple AI agents to work in parallel, enabling complex task execution through coordinated agent interactions.

Eliminates polling in background agents for efficient resource usage and real-time updates.

Offers problem-solving strategies for functors within category theory, a branch of abstract mathematics research.

Provides step-by-step strategies for constructing and manipulating sigma algebras in measure theory problem-solving.

Enables TDD-based database migration workflows with agent orchestration, ensuring minimal context growth and safe, incremental changes.

Enables quick bash execution and file references through slash commands in Claude Code, streamlining development task automation.

Provides end-to-end testing capabilities for web applications, ensuring seamless user experience across all integrated components.

Executes computational geometry tasks including geometry creation, boolean operations, measurements, and spatial predicates using Shapely.

Provides problem-solving strategies for group theory problems in abstract algebra.

Real-time monitoring of math problem-solving progress with metacognitive prompts to decide when to pivot or persist.

Offers problem-solving strategies and explanations for open sets in topological spaces, aiding mathematical learning.

Automates converting session insights into reusable system capabilities like skills, rules, and agents to enhance long-term performance.

Enables unit conversion, dimensional analysis, and unit arithmetic using the Pint library for scientific data processing.

Enables interactive exploration of available tools, workflows, agents, and hooks within the workspace for enhanced productivity.

Verifies the integrity of component wiring and dependency configurations in software systems.

Guides users through a systematic migration process from research to review, ensuring smooth transitions between systems or platforms.

Provides problem-solving strategies for natural transformations in category theory, supporting mathematical research and theoretical analysis.

Provides unified math computation, solving, and explanation by routing to specialized tools for data science and AI applications.

Creates unambiguous, reliable prompts for Agentica and REPL agents to optimize LLM performance and reduce instruction errors.

Organizes multiple search tools in a hierarchical structure to streamline information retrieval and enhance workflow efficiency.

Advises against using the TaskOutput feature, promoting best practices in development documentation and workflow design.